[0001] The present invention relates to the field of vehicle monitoring systems and, more particularly to systems, and methods for analyzing vehicle driving behaviour.
[0002] The present application is based on and claims priority from an Indian Application Number 202011016288 filed on 15/04/2020, the disclosure of which is incorporated herein.
BACKGROUND
[0003] Many vehicles include sophisticated sensors and advanced internal computer systems designed to monitor and control vehicle operations and driving functions. Advanced vehicles systems can perform such tasks as monitoring fuel consumption and optimizing engine operation to achieve higher fuel efficiency, detecting and correcting a loss of traction on an icy road, and detecting a collision and automatically contacting emergency services.
[0004] There are recognized benefits in having systems and methods to monitor the operation of vehicles, for capturing real-time data pertaining to driving activity and patterns thereof. Such systems and methods facilitate the collection of qualitative and quantitative information related to the contributing causes of vehicle incidents, such as accidents; and allow objective driver evaluation to determine the quality of driving practices.
[0005] The potential benefits include preventing or reducing vehicle accidents and vehicle abuse; and reducing vehicle operating, maintenance, and replacement costs. The social value of such devices and systems is universal, in reducing the impact of vehicle accidents. The economic value is especially significant for commercial and institutional vehicle fleets, as well as for general insurance and risk management.
[0006] There exists a large and growing market for vehicle monitoring systems that take advantage of new technological advances. These systems vary in features and functionality and exhibit considerable scope in their approach to the overall problem. Some focus on location and logistics, others on engine diagnostics and fuel consumption, whereas others concentrate on safety management.
[0007] U.S. Pat. No. 4,500,868 to Tokitsu et al. is intended as an adjunct in driving instruction. By monitoring a variety of sensors is able to determine if certain predetermined condition thresholds are exceeded, and, if so, to signal an alarm to alert the driver.
[0008] U.S. Pat. No. 4,671,111 to Lemelson (herein denoted as “Lemelson 111”) teaches the use of accelerometers and data recording/transmitting equipment for obtaining and analyzing vehicle acceleration and deceleration.
[0009] Collecting raw physical data on vehicle operation through a multiplicity of sensors usually results in a very large quantity of data that is cumbersome to store and handle, and impractical to analyse and evaluate. For this reason, any automated system or method of driver behaviour analysis and evaluation must employ some abstraction mechanism to reduce the data to a manageable size and in a meaningful way.
[0010] Moreover when out on the road, vehicles and drivers may engage in many different types of driving behaviours, including various “social interactions” with other vehicles and drivers. Some social interactions, such as proper signalling and yielding to other vehicles, characterize safe and prudent driving, while other behaviours, such as tailgating and racing may represent high-risk and unsafe driving.
[0011] In light of the above-stated discussion, there exists a need for a method and system for analyzing driver behaviour of a vehicle as a function of a time-based usage of the vehicle.
OBJECT OF THE DISCLOSURE
[0012] A primary objective of the present disclosure is to provide a system for analyzing driver behaviour of a vehicle as a function of a time-based usage of the vehicle.
[0013] Another objective is to provide a method for analyzing the driver behaviour of a vehicle.
SUMMARY
[0014] An embodiment of the present invention relates to a system for analyzing and determining a driving behaviour of a vehicle. In particular, the system includes a displaying unit, multiple sensors, a remote server, a memory, a communication network and a processor.
[0015] The displaying unit is configured to display the driving behaviour of the vehicle on a user device. In particular, the multiple sensors are operably placed on the vehicle configured to gather a vehicle operational data corresponding thereto. Moreover, the remote server is operably configured to store the vehicle operational data and a driving behaviour notifications and the memory is configured with multiple modules. The multiple modules includes a driver score module, an evaluation and control, a maintenance module, a data module, a communication module and a notification module.
[0016] The communication network is configured for communicating with the remote server, the user device, a processor and the sensors.
[0017] The processor is communicably connected to the plurality of sensors and includes instructions that are executable to perform steps of receiving the vehicle data from the plurality of sensors on the vehicle, filtering the plurality of data to analyze the driving behaviour of the vehicle, determining the vehicle data corresponding to the driving behaviour of the vehicle and generating a time based report based on the determination.
[0018] In accordance with an embodiment of the present invention, the time based report correlates the driving behaviour of the vehicle for determining the nature of drive of the vehicle.
[0019] In accordance with an embodiment of the present invention, the multiple sensors further includes a first set of sensors configured to collect a plurality of primary data from the vehicle and a second set of sensors configured to collect a plurality of secondary data from the vehicle.
[0020] In accordance with an embodiment of the present invention, the primary data includes temperature, pressure, current, voltage, position, velocity and alike.
[0021] In accordance with an embodiment of the present invention, the secondary data includes a GPS data, a radar data, an image data and alike.
[0022] In accordance with an embodiment of the present invention, the secondary data correlates with the primary data to generate the time based report of the vehicle.
[0023] In accordance with an embodiment of the present invention, the sensors is anyone or a combination of a voltage sensor, a current sensor for battery and motor, a tire pressure sensor, an accelerometer, a gyroscope, a throttle position sensor, an image sensor, a radar sensor, a GPS sensor and alike.
[0024] In accordance with an embodiment of the present invention, the system is further configured to determine a driving pattern based on one or more parameters. In particular, one or more parameters are selected from over speeding, hard brake, hard acceleration, vehicle fall, pothole, wavy driving, driving against the traffic, sleepy driving and alike.
[0025] In accordance with an embodiment of the present invention, the driver score module is configured to assign either a positive score or a negative score on the vehicle and/or a driver in response to the determination of the driving pattern.
[0026] In accordance with an embodiment of the present invention, the data module operably configured to store the vehicle operational data from the plurality of sensors and the time based report of the vehicle.
[0027] In accordance with an embodiment of the present invention, the evaluation and control module is operably configured to evaluate and score the vehicle based on the depreciation value. In particular, the depreciation value is anyone of an idle depreciation value, a driving depreciation value and a shock depreciation value.
[0028] In accordance with an embodiment of the present invention, the maintenance module is operably configured to alert the driver for inspection of the vehicle. In particular, the inspection is anyone of a brake inspection, a battery inspection, a suspension inspection and an overall inspection.
[0029] Another embodiment of the present invention relates to a method for analyzing and determining a driving behaviour of a vehicle. The method includes receiving a plurality of data from a plurality of sensors, selectively filtering the data received to obtain data of particular relevance for analysis of driven behaviour of the vehicle, utilizing the data as collected from sensors to determine the driven behaviour, generating a time-based report to correlate the driving behaviour as a function of time factor and using the report to determine the nature of the drive of the vehicle.
[0030] According to yet another embodiment, the driving behaviour may also be determined by combining primary data from the first set of sensors with secondary data from the second set of sensors.
[0031] These and other aspects herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawing.
[0032] It should be understood, however, that the following descriptions are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the invention herein without departing from the spirit thereof. The foregoing objectives are attained by employing a system for analyzing and determining a driving behaviour of the vehicle and the method thereof.
BRIEF DESCRIPTION OF FIGURE
[0033] Having thus described the disclosure in general terms, reference will now be made to the accompanying figure, wherein:
[0034] Fig. 1A is a block diagram illustrating a system for analyzing and determining a driving behaviour of a vehicle in accordance with an embodiment of the invention;
[0035] Fig. 1B is a block diagram illustrating a plurality of sensors for collecting vehicle operational data in accordance with an embodiment of the invention;
[0036] Fig. 2 is a block diagram illustrating a plurality of modules in accordance with an embodiment of the present invention; and
[0037] Fig. 3 is a flowchart illustrating a method for analyzing and determining a driving behaviour of a vehicle in accordance with an embodiment of the invention.
ELEMENT LIST
Sensor 102
Remote Server 104
Memory 106
Communication Network 108
Processor 110
Displaying Unit 112
User Device 114
Modules 116
Driver Score Module 205
Evaluation and Control 210
Maintenance Module 215
Data Module 220
Communication Module 225
Notification Module 230
[0038] It should be noted that the accompanying figure is intended to present illustrations of a few examples of the present disclosure. The figure is not intended to limit the scope of the present disclosure. It should also be noted that the accompanying figure is not necessarily drawn to scale.
DETAILED DESCRIPTION
[0039] In the following detailed description of the invention, numerous specific details are set forth in order to provide a thorough understanding of the invention. However, it will be obvious to a person skilled in the art that the invention may be practiced with or without these specific details. In other instances, well known methods, procedures and components have not been described in detail so as not to unnecessarily obscure aspects of the invention.
[0040] Furthermore, it will be clear that the invention is not limited to these alternatives only. Numerous modifications, changes, variations, substitutions and equivalents will be apparent to those skilled in the art, without parting from the scope of the invention.
[0041] The accompanying drawing is used to help easily understand various technical features and it should be understood that the alternatives presented herein are not limited by the accompanying drawing. As such, the present disclosure should be construed to extend to any alterations, equivalents and substitutes in addition to those which are particularly set out in the accompanying drawing. Although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are generally only used to distinguish one element from another.
[0042] It will be apparent to those skilled in the art that other alternatives of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention. While the foregoing written description of the invention enables one of ordinary skill to make and use what is considered presently to be the best mode thereof, those of ordinary skill will understand and appreciate the existence of variations, combinations, and equivalents of the specific aspect, method, and examples herein. The invention should therefore not be limited by the above described alternative, method, and examples, but by all aspects and methods within the scope of the invention. It is intended that the specification and examples be considered as exemplary, with the true scope of the invention being indicated by the claims.
[0043] Conditional language used herein, such as, among others, "can," "may," "might," "may," “e.g.,” and the like, unless specifically stated otherwise, or otherwise understood within the context as used, is generally intended to convey that certain alternatives include, while other alternatives do not include, certain features, elements and/or steps. Thus, such conditional language is not generally intended to imply that features, elements and/or steps are in any way required for one or more alternatives or that one or more alternatives necessarily include logic for deciding, with or without other input or prompting, whether these features, elements and/or steps are included or are to be performed in any particular alternative. The terms “comprising,” “including,” “having,” and the like are synonymous and are used inclusively, in an open-ended fashion, and do not exclude additional elements, features, acts, operations, and so forth. Also, the term “or” is used in its inclusive sense (and not in its exclusive sense) so that when used, for example, to connect a list of elements, the term “or” means one, some, or all of the elements in the list.
[0044] Disjunctive language such as the phrase “at least one of X, Y, Z,” unless specifically stated otherwise, is otherwise understood with the context as used in general to present that an item, term, etc., may be either X, Y, or Z, or any combination thereof (e.g., X, Y, and/or Z). Thus, such disjunctive language is not generally intended to, and should not, imply that certain alternatives require at least one of X, at least one of Y, or at least one of Z to each be present.
[0045] Referring to Fig. 1A and 1B, the system 100 operates in a vehicle environment. In particular, the system 100 includes, multiple sensors 102A-102I (hereinafter cumulatively referred to as 102), a remote server 104, a memory 106, a communication network 108 and a processor 110 and a displaying unit 112.
[0046] In accordance with an embodiment of the present invention, the sensor 102 may be operably placed all over the vehicle to gather various kinds of vehicle operational data. In particular, the sensor 102 may include temperature sensors, voltage sensors, accelerometers, gyroscope sensors, global positioning sensors (GPS), etc. Moreover, all these sensors help identify various operational and functioning parameters about the vehicle. Such operational and functioning parameters may include, but not limited to motor driven characteristics, temperature of the vehicle motor, GPS sensor, accelerometer, etc.
[0047] In accordance with an embodiment of the present invention, the sensor 102 further includes a first set of sensors configured to collect a plurality of primary data from the vehicle and a second set of sensors configured to collect a plurality of secondary data from the vehicle.
[0048] In accordance with an embodiment of the present invention, the secondary data includes a GPS data, a radar data, an image data and alike.
[0049] In accordance with an embodiment of the present invention, the primary data includes temperature, pressure, current, voltage, position, velocity and alike.
[0050] In accordance with an embodiment of the present invention, the remote server 104 is operably configured to store the vehicle operational data and a driving behaviour notifications.
[0051] In accordance with an embodiment of the present invention, the remote server 104 receives the driving behaviour notifications from the processor.
[0052] In accordance with an embodiment of the present invention, the remote server 104 may be configured to communicate with sensor 102 on the vehicle, user device 114, the system 100 and the processor 110 via the communication network 108.
[0053] In accordance with an embodiment of the present invention, the remote server 104 may be, but not limited to a cloud server, a web server, an application server, a proxy server, a network server, or a server farm, and so forth.
[0054] Embodiments of the present invention are intended to include or otherwise cover any type of the remote server 104, including known, related art, and/or later developed technologies.
[0055] In some implementations, the remote server 104 can communicate with the system 100 via a virtual private network (VPN), Secure Shell (SSH) tunnel, or other secure network connection.
[0056] In accordance with an embodiment of the present invention, the data utilized by the processor is sent as notifications to the remote server.
[0057] In accordance with an embodiment of the present invention, the communication network 108 is configured for providing communication links for communicating with the remote server 104, the user device 114, memory 106, processor 110 and sensor 102.
[0058] In accordance with an embodiment of the present invention, the communication network 108 may any communication network, such as, but not limited to, the Internet, wireless networks, local area networks, wide area networks, private networks, a cellular communication network, corporate network having one or more wireless access points or a combination thereof connecting any number of mobile clients, fixed clients, and servers and so forth. Examples of communication network 120 may include the Internet, a WIFI connection, a Bluetooth connection, a Zigbee connection, a communication network, a wireless communication network, a 3G communication, network, a 4G communication network , a 5G communication network, a USB connection, or any combination thereof. For example, the communication may be based through a radio-frequency transceiver (not shown). In addition, short-range communication may occur, such as using Bluetooth, Wi-Fi, or other such transceivers.
[0059] It will be appreciated that the network connections shown are illustrative and other means of establishing a communications link between the computers may be used. The existence of any of various network protocols such as TCP/IP, Ethernet, FTP, HTTP and the like, and of various wireless communication technologies such as GSM, CDMA, WiFi, and WiMAX, is presumed, and the various computing devices and system components described herein may be configured to communicate using any of these network protocols or technologies.
[0060] In some implementations, the system 100 may be a distributed client/server system that spans one or more communication networks (not shown).
[0061] In accordance with an embodiment of the present invention, the memory 106 is configured to store multiple modules. The multiple modules include a driver score module 205, an evaluation and control 210, a maintenance module 215, a data module 220, a communication module 225 and a notification module 230
[0062] In an aspect of the present invention, the memory 106 is configured to store the vehicle data from the sensor 102.
[0063] In another aspect of the present invention, the memory 106 is configured to store the time based report of the vehicle.
[0064] For example, memory 106 may store software used by the user device 114, such as an operating system (not shown), application programs (not shown), and an associated internal database (not shown).
[0065] In accordance with an embodiment of the present invention, the processor 110 is communicably connected to the sensor 102 to gather all the operational vehicle data collected by the sensor 102. In particular, the processor 110 is configured to perform a series of computer-readable instructions of receiving a plurality of data from a plurality of sensors, selectively filtering the data received to obtain data of particular relevance for analysis of driven behaviour of the vehicle, utilizing the data as collected from sensors to determine the driven behaviour, generating a time-based report to correlate the driving behaviour as a function of time factor and using the report to determine the nature of the drive of the vehicle.
[0066] In accordance with one embodiment of the present invention, the processor 110 may be any well-known processor, but not limited to processors from Intel Corporation.
[0067] Alternatively in another embodiment, the processor 110 may be a dedicated controller such as an ASIC.
[0068] In accordance with yet another embodiment of the present invention, the processor 110 may be anyone of an ARM, MIPS, SPARC, or INTEL® IA-32 microcontroller or the like.
[0069] Similarly, in yet another embodiment of the present invention, the processor 110 comprises a collection of processors which may or may not operate in parallel.
[0070] In accordance with yet another embodiment of the present invention, the processor 110, which may be any processor-driven device, such as may include one or more microprocessors and memories or other computer-readable media operable for storing and executing computer-executable instructions.
[0071] As used herein, the term "computer-readable media" may describe any form of computer memory or memory device, such as, but not limited to, a random access memory ("RAM") or a non-volatile memory, such as a hard disk, memory card, ROM, RAM, DVD, CD-ROM, USB Flash drive, write-capable, and read-only memories an EPROM, or an EEPROM.
[0072] Examples of processor-driven devices may include, but are not limited to, a server computer, a mainframe computer, one or more networked computers, a desktop computer, a personal computer, an application-specific circuit, a microcontroller, a minicomputer, or any other processor-based device.
[0073] In accordance with an embodiment of the present invention, the processor 110 may execute any set of instructions directly as computer executable codes or indirectly (such as scripts). In that regard, the terms “instructions,” and “steps” may be used interchangeably herein. The instructions may be stored in object code form for direct processing by the processor, or in any other computer language including scripts or collections of independent source code modules that are interpreted on demand or compiled in advance.
[0074] In accordance with an embodiment of the present invention, the processor may be remotely placed or locally placed on the server.
[0075] In accordance with an embodiment of the present invention, the system 100 may also include one or more input/output ("I/O") ports(e.g., serial ports, (e.g., RS233 port, USB, etc.) (not shown) and one or more network interfaces. The I/O port or ports may be operable to communicate with input/output devices, such as an internal and/or external display, keypad, mouse, pointing device, control panel, touch screen display, another computer-based device, printer, remote control, microphone, speaker, etc., which facilitate user interaction with the system 100.
[0076] In accordance with an embodiment of the present invention, the displaying unit 112 to display the driving behaviour of the vehicle on a user device 114. The display unit 112 can be implemented, for example, using one or more computing systems. By way of a non-limiting example, driving behaviour of the vehicle is displayed on the application launch icon in a launch area of a display of the user device 114. The displaying is performed by the display unit 112 with a preloading application in a memory of the user device based on data stored in a remote server 104 and displays the driving behaviour of the vehicle on the user device 114.
[0077] In accordance with an embodiment of the present invention, the user device 114 may include a desktop computer, a laptop computer, a user computer, a tablet computer, a personal digital assistant (PDA), a cellular telephone, a communication network appliance, a camera, a smartphone, an enhanced general packet radio service (EGPRS) mobile phone, a media player, a navigation device, an email device, a game console, or a combination of any these data processing devices or other data processing devices. Furthermore, the user device 114 can be provided access to and/or receive application software executed and/or stored on any of the remote server 104.
[0078] In some examples, user device 114 performs functions of a social communication network (not shown) to the remote server 104. In some implementations, the user device 114 can communicate wirelessly through a communication interface, which may include digital signal processing circuitry where necessary.
[0079] Fig. 2 is a block diagram illustrating a plurality of modules in accordance with an embodiment of the present invention. The multiple modules include a driver score module 205, an evaluation and control 210, a maintenance module 215, a data module 220, a communication module 225 and a notification module 230.
[0080] In accordance with an embodiment of the present invention, the driver score module 205 is configured to assign either a positive score or a negative score on the vehicle and/or a driver in response to the determination of the driving pattern. In particular, the driving pattern depends on one or more parameters. Moreover, the one or more parameters includes but not limited to over speeding, hard brake, hard acceleration, vehicle fall, pothole, wavy driving, driving against the traffic, sleepy driving and the like.
[0081] In an embodiment of the present invention, the driver may be given a negative score by the driver score module 205 for driving on the opposite side of the road.
[0082] In a working example, the driver of the vehicle drives more than 20 meters along the road, then drives perpendicular to the road, and then drives along the road again. This may indicate that the first 20 meters was in an opposite direction of the traffic.
[0083] In another embodiment of the present invention, the driver may be given a negative score by the driver score module 205 for breaking and/or not following the traffic signal.
[0084] In an example, a negative score may be given to the driver who does not stop at the stopping signals identified on the travelling road. In particular, the stopping signals are identified at the points where more than 80% of the drivers and/or vehicles have stopped more than 30% times while driving in the same direction on the road.
[0085] In yet another embodiment of the present invention, the driver may be given a negative score by the driver score module 205 for turning without a signal when the GPS sensor detects a turn.
[0086] In yet another embodiment of the present invention, when there is no indicator sensor is or the indicator sensor is not active, then a particular pattern in current sensor that detects indicator light being used is not detected thereby the system concludes it's turn without signal. Thus, the driver score module 205 gives a negative score to the driver for turning without a signal.
[0087] In yet another embodiment of the present invention, the driver may be given a negative score by the driver score module 205 for hard turns, hard brakes, hard acceleration and the like.
[0088] In yet another embodiment of the present invention, the driver may be given a negative score by the driver score module 205 for driving at a high speed on the potholes which causes vibration in the vehicle.
[0089] In yet another embodiment of the present invention, the driver may be given a negative score by the driver score module 205 for causing damage to the vehicle.
[0090] In an exemplary example if the bike falls down then a negative score is assigned to the driver.
[0091] In all the cases, when a negative score is assigned to the driver by the driver score module 205 then 0.1 score point is deducted from the overall driver score (1 to 10) and a flag warning is issued.
[0092] When a driver is assigned a negative score of 0.1, and if the driver doesn’t break any rules for next one week, then the score bounces back. But the driver continues to break the rules in the week, then a new penalty in addition to the old penalty (negative score) is issued to the driver for 1 more week.
[0093] In accordance with an embodiment of the present invention, the data module 220 operably configured to store the vehicle operational data from the sensor 102 and the time based report generated for the vehicle.
[0094] In accordance with an embodiment of the present invention, the time based report defines the acts performed for a specific period of time and identifies anomalies or patterns from the data.
[0095] In accordance with an embodiment of the present invention, the time based report correlates the driving behaviour of the vehicle for determining the nature of drive of the vehicle.
[0096] In accordance with an embodiment of the present invention, the secondary data correlates with the primary data to generate the time based report of the vehicle.
[0097] In an exemplary example, the data gathered from correlation of a GPS sensor and accelerometer sensor may provide information that a driver has a tendency for slowing down or stopping for a short time or a specific amount of time and then accelerates hard. This data can be correlated with GPS data to identify that the driver generally slows down near a traffic light and accelerates in a short amount of time and provides the data that the driver of the vehicle may be jumping traffic lights.
[0098] In another exemplary example , the driver may be slowing down using a certain road segment and then accelerating. Correlating this with the GPS data may reveal that the driver may be driving on a short segment of road on the wrong side.
[0099] In accordance with another embodiment of the present invention, if the GPS sensor provides that the driver drives a small distance along a road, then rides sideways on that road and then again goes along the road, then it may be concluded that first small distance he drove against the traffic is to avoid a longer u turn.
[00100] In accordance with an embodiment of the present invention, the evaluation and control 210 is operably configured to evaluate and score the vehicle based on the depreciation value. In particular, the depreciation value is anyone of an idle depreciation value, a driving depreciation value and a shock depreciation value.
[00101] In accordance with an embodiment of the present invention, the evaluation and control module 210 provides a score to the new vehicle and evaluates the score of the vehicle throughout the lifecycle of the vehicle. In particular, a new vehicle is given a score of 1000 and when the score is down to 100, then it is concluded that the vehicle is not usable and must be scrapped.
[00102] In accordance with one or more embodiments of the present invention, the score reduces to 100 based on idle depreciation, driving depreciation value and a shock depreciation.
[00103] In accordance with one embodiment of the present invention, the score reduces to 100 based on idle depreciation. For example, the bike score is dropped in a linear progression way in 5 years to 100. So 1500 days leads to a drop of 900 points.
[00104] In accordance with another embodiment of the present invention, the score of the vehicle reduces to 100 based on driving depreciation. In particular, the driving depreciation depends on the number of running distances. For example, when the bike runs 100,000 kms, then the bike score drops from 1000 to 100. Thus, for the total journey of 100,000 km, the bike score drops by 900.
[00105] In accordance with an embodiment of the present invention, when idle depreciation score exceeds driving depreciation score, idle depreciation is applied.
[00106] In accordance with alternate embodiment of the present invention, when driving depreciation score exceeds the idle depreciation score then the driving depreciation is applied.
[00107] In accordance with an embodiment of the present invention, if a component of the vehicle is replaced, then the vehicle score improves.
[00108] In accordance with yet another embodiment of the present invention, the score reduces to 100 when the vehicle falls down, or goes in a pothole, then it is marked as one extra week of depreciation on that day.
[00109] In accordance with another embodiment of the present invention, the score reduces based on maximum battery current. In particular, the maximum battery current depends on three parameters including number of peak current, duration of the peak current, voltage drop during the peak current event.
[00110] In accordance with an embodiment of the present invention, deep discharge of the battery causes accelerated depreciation. Thus, one deep discharge is counted as a loss of 50 charge cycles from battery life.
[00111] In an example, high temperature exposure of the battery for the whole day in battery cycles on that day may be multiplied by a factor of 3.
[00112] In accordance with another embodiment of the present invention, the distance between nominal current and peak current is 3 sigma, then driving for 2 sigma or less for most of the time is the ideal driving behaviour.
[00113] In accordance with yet another embodiment of the present invention, the score reduces based on battery voltage.
[00114] In accordance with an embodiment of the present invention, the nominal to discharge voltage is 3 sigma then the duration when the lower voltage stays between 2 sigma is the ideal battery behaviour.
[00115] If the nominal to charge voltage is 3 sigma on the other side, then how long someone was able to keep it lower even on the other side This is ideal behaviour.
[00116] In accordance with an embodiment of the present invention, the maintenance module is operably configured to alert the driver for inspection of the vehicle. In particular, the inspection is anyone of a brake inspection, a battery inspection, a suspension inspection and an overall inspection.
[00117] In accordance with an embodiment of the present invention, the maintenance module alerts for brake inspection when the brake of the vehicle becomes hard.
[00118] In accordance with another embodiment of the present invention, the maintenance module alerts for battery inspection when the battery is overcharged or deep discharged.
[00119] In accordance with yet another embodiment of the present invention, the maintenance module alerts for suspension inspection when there are multiple pothole incidents/accidents.
[00120] In accordance with yet another embodiment of the present invention, the maintenance module alerts for overall inspection when there is a shock alert.
[00121] In accordance with an embodiment of the present invention, the communication module 225 may be configured to communicate between the sensor 102, the user device 114 and the remote server 104. In particular, the communication may be through any communication networks, such as, but not limited to, the Internet, wireless networks, local area networks, wide area networks, private networks, and the like.
[00122] In accordance with an embodiment of the present invention, the notification module 230 may be configured to send notification related to driving behavior on the user device 114. In particular, the notification may be anyone but not limited to, a push notification, an email notification, mobile notifications, manual notifications, video notifications and the like notifications generated by any such system which are capable of generating notifications.
[00123] Fig. 3 is a flowchart illustrating a method system for analyzing and determining a driving behaviour of a vehicle in accordance with an embodiment of the invention. The steps may be rearranged and may not follow the process in only the manner as depicted in the flow chart.
[00124] The method 300 starts at step 302 and proceeds to step 304. At step 302, a plurality of data is received from the sensor 102. As disclosed above, the sensors may be anyone or a combination of voltage, current sensors for battery and motor, tire pressure sensor, accelerometer, gyroscope, throttle position sensor, image sensors, radar sensors, and GPS sensor.
[00125] At step 304, the data received is then selectively filtered to obtain data of particular relevance for analysis of driving behaviour of the vehicle.
[00126] Step 304 proceeds to step 306. At step 306, the driving behaviour is determined utilizing the data as collected from sensor 102.
[00127] According to another embodiment, the driven behaviour may also be determined by combining sensor data with a secondary sensor data like GPS and the like to determine the driving behaviour.
[00128] Step 306 proceeds to step 308. At step 308, a determination is made based on the driving behaviour and a time-based report is generated to correlate the driving behaviour as a function of time factor.
[00129] In accordance with an embodiment of the present invention, the time based report defines the acts performed for a specific period of time and identifies anomalies or patterns from the data.
[00130] Step 308 proceeds to step 310. At step 310, based on the time-based report the nature of the drive of the vehicle is determined.
[00131] In accordance with an embodiment of the present invention, the time based report correlates the driving behaviour of the vehicle for determining the nature of drive of the vehicle.
[00132] In accordance with an embodiment of the present invention, the secondary data correlates with the primary data to generate the time based report of the vehicle.
[00133] The method 300, however, is exemplary only and not limiting. The method 300 may be altered, e.g., by having stages added, removed, or rearranged.
[00134] While the detailed description has shown, described, and pointed out novel features as applied to various alternatives, it can be understood that various omissions, substitutions, and changes in the form and details of the devices or algorithms illustrated can be made without departing from the scope of the disclosure. As can be recognized, certain alternatives described herein can be embodied within a form that does not provide all of the features and benefits set forth herein, as some features can be used or practiced separately from others.

We Claim,

1.A system for analyzing and determining a driving behaviour of a vehicle, wherein the system comprising:
a displaying unit to display the driving behaviour of the vehicle on a user device;
a plurality of sensors, operably placed on the vehicle configured to gather a vehicle operational data corresponding thereto;
a remote server operably configured to store the vehicle operational data and a driving behaviour notifications;
a memory configured to store a plurality of modules including a driver score module, an evaluation and control, a maintenance module, a data module, a communication module and a notification module;
a communication network configured for communicating with the remote server, the user device, a processor and the plurality of the sensors;
the processor, communicably connected to the plurality of sensors, wherein the processor includes instructions to perform steps of:
receiving the vehicle operational data from the plurality of sensors on the vehicle;
filtering the vehicle operational data to analyze the driving behaviour of the vehicle;
determining the vehicle operational data corresponding to the driving behaviour of the vehicle; and
generating a time based report based on the determination to determine the nature of the drive of the vehicle.
2. The system as claimed claim 1, wherein the time based report correlates the driving behaviour of the vehicle for determining a nature of drive of the vehicle.
3. The system as claimed claim 1, wherein the plurality of sensors further includes a first set of sensors configured to collect a plurality of primary data from the vehicle and a second set of sensors configured to collect a plurality of secondary data from the vehicle.
4. The system as claimed in claim 3, wherein the primary data includes any one or a combination of a temperature, pressure, current, voltage, position, velocity and alike.
5. The system as claimed in claim 3, wherein the secondary data includes any one or a combination of a GPS data, a radar, an image data and alike.
6. The system as claimed in claim 3, wherein the secondary data correlates with the primary data to generate the time based report of the vehicle.
7. The system as claimed in claim 1, wherein the plurality of sensors is anyone or a combination of a voltage sensor, a current sensor for battery and motor, a tire pressure sensor, an accelerometer, a gyroscope, a throttle position sensor, an image sensor, a radar sensor, a GPS sensor and alike.
8. The system as claimed in claim 1, wherein the system is further configured to determine a driving pattern based on a plurality of parameters selected from over speeding, hard brake, hard accelerate, vehicle fall, pothole, wavy driving, driving against the traffic, sleepy driving and alike.
9. The system as claimed in claim 1, wherein the driver score module is configured to assign either a positive score or a negative score to a driver in response to the driving pattern and the data module operably configured store the vehicle operational data from the plurality of sensors and the time based report of the vehicle generated by the processor.
10. The system as claimed in claim 1, the evaluation and control module is operably configured to evaluate and score the vehicle based on a depreciation value and the maintenance module is operably configured to alert the driver for inspection of the vehicle; and
wherein the depreciation value is anyone of an idle depreciation value, a driving depreciation value and a shock depreciation value and the inspection is anyone of a brake inspection, a battery inspection, a suspension inspection and an overall inspection.