DESC:TECHNICAL FIELD OF THE INVENTION
[0001] The present invention described herein relates to a process that evaluates the road-risk factors of a driver through driver’s quality measurement using a Drivuum Score. The present invention also relates to the automated evaluation system that involves the process of determining the Drivuum Score.

BACKGROUND OF THE INVENTION
[0002] Prominent national Institutions (NCRB/CRRI) through primary and secondary data analysis have established 72% road accidents have direct correlation to driving error.
[0003] Drivers have been a commodity in the market place whose price and renumeration is decided by geography, driving license and KYC and no other evaluation being carried out. Some evaluation systems were proposed by inventors all around the world to evaluate the driver and improving their driving performance.
[0004] In CA2808754C, an online system was developed to train the novice drivers using a simulator-based device and the driver was rated for the purpose of insurance. The online system comprises of hazard modules which will provide the driving scenario to the trainee driver. The trainee driver was then evaluated for the driver’s hazard detection proficiency and was rated accordingly. The modules involve the predefined set of emergencies which may need to be updated after certain period and may not be suitable for real time driving.
[0005] The risk associated with the driver was evaluated in the patent US8738523B1 using a plurality of risk variables and a risk index was generated for the driver. The risk variables comprise of measurements of driver behavior, driving times, driving environment measurements, motions sensor data, images of drivers, audio data, biometric sensor data or geographic location data. Again, here also the risk index is further utilized to generate the insurance rates. The risk variables are gathered when the driver operates the vehicles, during the cognitive ability tests or driving simulation tests. In the said inventions, the main intention was to calculate the insurance rates based on the performance of the driver. The parameter was limited only to psychomotor skills.
[0006] In AU2017100444A4, a real time driving feedback system was proposed. It discusses about the instant feedback message to dynamically adjust the driving behavior of a driver. The driver is observed while driving and was assessed. The driver performance message was sent to the system and the system in turn sends the feedback message to dynamically adjust the driving behavior. The driver performance report was generated and the same was used to calculate an insurance premium and coverage as well as to calculate a cost of hiring a vehicle. In this invention, the drivers were provided with instant messages which makes the driver fails to act and improve the self-learning process which is highly important in the real time road situations in long go.
[0007] As the nation progresses, roads are getting better allowing faster movement duly supported by newer technology in vehicles. It gets further accentuated with rising vehicular density with rising wealth and economic development. This entire scenario raises the complexities on the road safety demanding better health condition with faster reflexes. The present invention addresses this “Developmental Paradox”. The Paradox here is about economic development leading to higher mortality in road accidents as per the data of CRRI and NCRB. The present invention takes care of all parameters including psychomotor skills and encourages the self-learning of the driver by evaluating the driver at regular interval of time.

OBJECT OF THE INVENTION
[0008] An object of this invention is to measure the driving skills with a 360-degree view of a driver, he/she being individual or a professional driver.
[0009] A further object of this invention is to supplement pre- and post- licensing process to create safer driving ecosystem.
[0010] A further object of this invention is to identify high road-risk drivers and weed out high road-risk drivers democratically using a score card mechanism.
[0011] A further object of this invention is to help drivers in identifying their shortcomings and improve their road-risk management skills.
[0012] A further object of this invention is to address a basic human need (Maslow’s Hierarchy of Needs wherein Safety Need is just next to Physiological Need, thus a basic but very critical Need) when one needs to know who is he being driven by, how safe he is through skill testing, accident history and other tests on various dimensions as being designed by Drivuum.
SUMMARY OF THE INVENTION
[0013] In an embodiment, the present disclosure is about a driver evaluation process and system for evaluating the driving performance of a driver through driver’s quality measurement using a Drivuum Continuum Score (702). The said Drivuum evaluation system (100) comprises of a driver platform (200), a Drivuum card (300), a processor (400), a user platform (500), a call center platform (600) and a driver evaluation process. The driver evaluation process is performed under five different components which includes physiological fitness (204), psychomotor skills (205), cognitive skills (206), road-man-ship (207) and post-rating component (208).
[0014] In an aspect, the Drivuum Continuum Score (702) which takes a 360-degree view with safety concerns, is utilized for safe certification and it provides a sense of security to the traveler, end users, employers etc.
[0015] In yet another aspect, the present invention of driver evaluation process and system identify the high road-risk drivers and weed out high road-risk drivers democratically.
[0016] In yet another aspect, the present invention reduces the road risk by 20-36%

BRIEF DESCRIPTION OF VISUAL ILLUSTRATION
[0017] The results and features of present invention are illustrated using graphs and drawings and are referred as “Fig.” followed by its numerical reference. Only figures that are most significant to illustrate the present invention are disclosed. However, the present disclosure is not limited to such figures alone. Following is the description or caption of those visual illustrations.
[0018] Fig. 1 represents the Driver evaluation system (100) and its platforms.
[0019] Fig. 2 depicts the components present in the driver platform (200).
[0020] Fig. 3 illustrates the process involved in the calculation of Drivuum Continuum Score (702)
[0021] Fig. 4 shows the evaluation of the driver using Drivuum Continuum Score (702).
[0022] Fig. 5 shows the outcome of the present invention of the driver evaluation system on well-known 5×5 risk matrix.

DETAILED DESCRIPTION
[0023] Hereinafter, the proposed driver evaluation process and the driver evaluation system will be explained in detail. It may be noted here that the invention thus disclosed is not limited either by following descriptions or embodiments.
[0024] The present disclosure is about, in particular, a process that evaluates the road-risk factors of a driver through driver’s quality measurement using a Drivuum score. The present disclosure also relates to the automated evaluation system that involves the process of determining the Drivuum Score.
[0025] In an embodiment, the Driver evaluation system (100) comprises of a driver platform (200), a Drivuum card (300), a processor (400), a user platform (500), and a call center platform (600).
[0026] In yet another embodiment, the driver platform (200) is for a driver (201) who is participating in the Driver evaluation system (100) and get rated for the driving skills of driver (201). In yet another embodiment, the driver (201) could be owner of a vehicle, cab or taxi drivers, fleet or truck drivers, school bus drivers, public transport drivers, drivers of a vehicle renting company, heavy vehicle drivers or an individual.
[0027] In yet another embodiment, the user platform (500) is for a user (501) who uses the Driver evaluation system (100) and is interested in viewing the rating of the driver (201). In an embodiment, the user (501) can be an insurance company, police authorities, a vehicle renting service company, a customer booking the driver (201) service or a combination thereof.
[0028] In an embodiment, the processor (400) is either standalone server or cloud-based server which maintains and integrate the user platform (500), the driver platform (200) and the call center platform (600).
[0029] In an embodiment, the driver platform (200) comprises of a profile platform (202) and a test entry platform (203). In yet another embodiment, entries into the profile and a part of test entry platform (203) can be done by the driver himself/herself or through the help of the call center.
[0030] In an embodiment, the profile platform (202) comprises of but not limited to Application form, KYC of the driver, fee payment and driving license details. The application form is a one-time entry form declaring the consent of driver on the Drivuum evaluating system.
[0031] In yet another embodiment, the KYC of the driver comprises of but not limited to Mobile number, Aadhaar number and License number. In an aspect, the driving license, the Mobile number, the Aadhaar number, and the License number are validated using the website of Ministry of Road, Transport and Highways of India (MORTH), using OTP, using website of UIDAI and using the other KYC and the driving license data respectively.
[0032] In an embodiment, after the completion of the profile platform (202), a unique ID is generated for each of the driver (201).
[0033] In an embodiment, the test entry platform (203) comprises of a driver evaluation process. In yet another embodiment, the driver evaluation process comprising, a physiological fitness component (204), a psychomotor skills component (205), a cognitive skills component (206), a road-man-ship (207), a post-rating component (208) and a Drivuum Continuum Score (702);
[0034] which includes physiological fitness (204), psychomotor skills (205), cognitive skills (206), road-man-ship (207) and post-rating component (208).
[0035] In yet another embodiment, physiological fitness component (204) comprises of various medical conditions based on the medical reports of the driver (201) as obtained from the medical specialists and laboratories and automated health kiosk. In yet another embodiment, the medical specialists and laboratories comprise of but not limited to physician, neuro-physician, ophthalmologist, ENT and pathology laboratories and Hi-Tech Health Kiosks.
[0036] In yet another embodiment, the medical condition includes but not limited to congenital disability, impaired vision, Epilepsy, MRI in select cases, impaired hearing, impaired other health conditions like heart condition etc.
[0037] In an embodiment, a Drivuum score (700) is provided to each of the medical conditions and a gross Drivuum score (701) is calculated. In yet another embodiment, the higher gross Drivuum score (701) indicates a good physiological condition of the driver (201) and the lowest gross Drivuum score (701) indicates a poor physiological condition of the driver (201) and maybe unfit for the passenger related service or high value goods carriage service. In yet another embodiment, the driver (201) who’s gross Drivuum score (701) is average requires some physiological corrective measures which includes but not limited to vision glasses, hearing aid, medicines/treatment etc.
[0038] In an embodiment, the physiological fitness component (204) has a weightage ranging from 10-50%. In yet another embodiment, the sub-component congenital disability which has a sub-component weightage of 7.5% is allotted with the Drivuum score (701) of 10 if the driver has no congenital disability else 0 if he has any congenital disability.
[0039] In yet another embodiment, the sub-component eyesight which have a sub-component weightage of 20.6% and is allotted with the Drivuum score (701) ranging from 0 to 10 with 10 being given to the driver who has 6/6 vision and 0 being given to the driver with 2/2 vision.
[0040] In yet another embodiment, the sub-components colour blindness, astigmatism, night blindness, squint/cataract is allotted with the Drivuum score (701) of 10 if the driver is tested negative for those medical condition else 0 if he has tested positive. In yet another embodiment, the sub-component weightage for colour blindness is 5.6% whereas for other vision conditions such as astigmatism, night blindness, squint/cataract have 3.8% sub-component weightage each.
[0041] In yet another embodiment, the sub-component EEG report, Epilepsy, Body Mass Index (BMI)/Addictions, Pathological tests, Blood Pressure (BP), ECG report, Blood sugar and Hearing quality report which have sub-component weightages of 10.0%, 10.0%, 5.0%, 5.0%, 3.8%, 7.5%, 3.8% and 10.0% respectively. Except epilepsy, based on the degree of the medical conditions, the Drivuum score (701) each ranging from 0 to 10 is allotted with 10 being the highest provided to those whose medical conditions is negative. For epilepsy condition, the Drivuum score (701) is 0 if tested positive and 10 otherwise.
[0042] In an embodiment, the psychomotor skills component (205) comprises of simulator-based tests. In yet another embodiment, the driver (201) is subjected to simulator-based tests and the driver (201) is provided with the Drivuum score (700) based on but not limited to reflexes and learning ability in normal and emergency situation.
[0043] In an embodiment, a Drivuum score (700) is provided to each of the test results and a gross Drivuum score (701) is calculated for the psychomotor skills component. In yet another embodiment, a higher gross Drivuum score (701) indicates a possession of good psychomotors skills by the driver (201) and a lower gross Drivuum score (701) indicates that the psychomotors skills of the driver (201) is not good enough for him to be employed for the passenger related service or high value Goods carriage. In yet another embodiment, the driver (201), who’s gross Drivuum score (701) for the psychomotor skills component is average, requires various training programs which includes but not limited to physical exercises, physiotherapy, cognitive exercises, medical intervention, medicines, etc.
[0044] In an embodiment, the psychomotor skill component (204) has a weightage ranging from 40-60%. In yet another embodiment, the sub-components linear test score, spatial test score, response reflex, learning ability have a sub-component weightage of 15.0% each. The Drivuum score (701) is allotted in the range of 0 to 10 for each of the sub-components of psychomotor skill component (204) with 10 being the highest score.
[0045] In an embodiment, the cognitive skills component (206) which comprises of the online questionnaire in vernacular language. The driver (201) will respond to the questionnaire online either personally or with the help of Text and Speech Analytic etc. In yet another embodiment, the questionnaire for the cognitive skills component includes but not limited to test the patience, spatial awareness, Attitude towards compliance of traffic rules, learning ability, compassion, empathy, response to emergency, accommodative and risk aversion, literacy level, traffic rules awareness (national and international), Standard Operating Procedure (SOP) for vehicle maintenance & safety observance.
[0046] In an embodiment, a Drivuum score (700) is provided to each of the answers to the questionnaire and a gross Drivuum score (701) is calculated for the cognitive skills component. In yet another embodiment, the highest gross Drivuum score (701) indicates a possession of good cognitive skills by the driver (201). In yet another embodiment, the driver (201), whose gross Drivuum score (701) for the cognitive skills component is low or average, requires various soft skill and technical training programs which includes but not limited to time management, courses on vehicle maintenance, knowledge on road signage, traffic rules, safety rules, global best practices in driving etc.
[0047] In an embodiment, the cognitive skills component (206) has a weightage ranging from 20-60%. In yet another embodiment, the sub-components such as Patience, Look around (spatial), Complaint to rules, IQ, Learning ability, Compassion, Accommodative, Risk Aversion, Empathy, Emergency response have a sub-component weightage of 4.0% each. The Drivuum score (701) is allotted in the range of 0 to 10 for each of the sub-components of cognitive skills component (206) with 10 being the highest score.
[0048] In an embodiment, the road-man-ship component (207) which comprises of the online questionnaire in vernacular language. The driver (201) will respond to the questionnaire online. In yet another embodiment, the questionnaire for the cognitive skills component includes but not limited to test the ability to grasp the environment,
[0049] In an embodiment, a Drivuum score (700) is provided to each of the answers to the questionnaire and a gross Drivuum score (701) is calculated for the road-man-ship component. In yet another embodiment, the higher gross Drivuum score (701) indicates a possession of good road-man-ship of the driver (201). In yet another embodiment, the driver (201), whose gross Drivuum score (701) for the road-man-ship component is low or average, requires various training programs which includes but not limited to time management, courses on vehicle maintenance, Central Motor Vehicles Rules (CMVR), knowledge on safety rules and acts etc.
[0050] In an embodiment, the road-man-ship component (207) has a weightage ranging from 30-50%. In yet another embodiment, the sub-component literacy level has a sub-component weightage of 20.0%. and is allotted with the Drivuum score (701) ranging from 0 to 10 with 10, 8, 6, 5, 2, 1, 0 being given to the driver who has passed diploma or graduate, 12th, 11th, 10th, 9th, 8th classes.
[0051] In yet another embodiment, the sub-components of the road-man-ship component (207) such as National, International and signages traffic rules knowledge test are given a sub-component weightage of 7.5%, 7.5% and 10.0% respectively. The drivers whose scores in test is above 80%, below 80% and above 70%, below 70% and above 60%, below 60% and above 50%, below 50% and above 40%, and below 40% are allotted with the Drivuum score (701) of 10, 8, 6, 4, 2 and 0 respectively for each of the subcomponents.
[0052] In yet another embodiment, the sub-components of the road-man-ship component (207) such as Vehicle tech knowledge, Maintenance knowledge, Vehicle limits awareness, Hands on experience on maintenance, Tool kit awareness and its usage are given a sub-component weightage of 12.0%, 9.0%, 9.0%, 12.5% and 12.5% respectively. The Drivuum score (701) is allotted in the range of 0 to 10 for each of the sub-components of cognitive skills component (206) with 10 being the highest score. The Drivuum score (701) is allotted with 0 for the driver whose score in Vehicle tech knowledge, Maintenance knowledge, Vehicle limits awareness, Hands on experience on maintenance, Tool kit awareness and its usage is below 30%, below 40%, below 50%, below 50% and below 60% respectively.
[0053] In an embodiment, the post-rating component (208) is evaluated with the inputs based on the police records and random checks using GPS, Telematics tools, video and speech analytics, Intelligent Transport System (ITS), verification of Industrial standards etc. In yet another embodiment, the inputs include but not limited to accident, incidences, challans or fines imposed.
[0054] In an embodiment, a Drivuum score (700) is provided to each of the sub-components of post-rating component and a gross Drivuum score (701) is adjusted with new inputs with a fixed matrix of dynamic rating system. In yet another embodiment, a higher gross Drivuum score (700) indicates a possession of good road-man-ship of the driver (201). In yet another embodiment, the driver (201), whose gross Drivuum score (700) for the sub-components of the post-rating component is high or average, requires various training programs, coaching and/or handholding which includes but not limited to mental preparedness, simulator-based driving courses, etc.
[0055] In an aspect, the driver’s score gets dynamic with the passage of time due to the post-rating components that encapsulates besides the four parameters enumerated above, the real-time performance and data available from police for violations etc.
[0056] In an embodiment, all the gross Drivuum score (701) of the physiological fitness component, psychomotor skill components, cognitive skill components and road-man-ship components and post-rating components are fed to a machine learning algorithm to obtain the Drivuum Continuum Score (702) which is normalized net Drivuum score (702).
[0057] In yet another embodiment, the Drivuum Continuum Score (702) is on the scale of 0-10, 10 being the highest score and 0 being the lowest score. The Drivuum Continuum Score (702) are further classified as Low risk, Moderate risk, and High risk with score ranging from 7.51-10.00, 3.51-7.50 and 0.00-3.51 respectively.
[0058] In yet another embodiment, the Drivuum continuum score (702) is reduced further based on some of the physiological fitness component (204) and the post-rating component (208);
[0059] In yet another embodiment, the physiological fitness component (204) such as 100% visual impairment, one missing limb, one or two damaged eye, addition status, epilepsy reduces the Drivuum Continuum Score (702) by 3, 2, 2, 2, 3, respectively. In yet another embodiment, the post-rating component (208) such as minor incident and major incident reduces the Drivuum Continuum Score (702) by 0.25, 0.50.
[0060] In an aspect, with large database collection in future and analysis with Normal Distribution Curve for available frequency for a large universe size, these cut offs may find a shift either way.
[0061] In an embodiment, the Drivuum card (300) is credit card sized card wherein the details of the driver (201) such as the unique id, passport size photograph, part of KYC details and the QR code are printed on the card to view the Drivuum Continuum Score.
[0062] In an embodiment, the Drivuum card (300) is renewed periodically. The test entry platform (203) is populated with the new data based on the present status of the driver (201) of all components except the post-rating component. And the Drivuum Continuum Score will be updated.
[0063] In an embodiment, the Drivuum score (700) of the driver (201) can be viewed in the website and specially designed mobile app.
[0064] In an aspect, the driver (201) would consciously work to improve the Drivuum Continuum Score (702), thereby improving their driving and risk management skills which will ultimately lead to mitigation of road risks and reduction in accidents. In yet another aspect, the driver (201) can brand their driving skills using the Drivuum Continuum Score (702) thereby increasing the job opportunities, better salary, enhanced self-esteem amongst peer group comparison and peace of mind for end users.
[0065] In an aspect, the Drivuum Continuum Score (702) which takes a 360-degree view with safety concerns, is utilized for safe certification and it provides a sense of security to the traveler, end users, employers etc.
[0066] In an aspect, the Drivuum Continuum Score (702) identify high road-risk drivers and weed out high road-risk drivers democratically using a score card mechanism. Democratically means creating a marketplace for drivers. Better the score, higher the demand and thus remuneration. This will lead to weeding out of high road-risk drivers. It also implied that critical operations like ferrying large consignment (highly dangerous material) through top rated drivers. As of now, there is no differentiation or a mechanism to know the suitability of a driver for the desired transportation.
[0067] In an aspect, the present driver evaluation system is a risk management product which transforms the treatment of driver as a commodity to a graded manpower with the help of a risk profile and price association, thereby weed out unsafe drivers democratically.
[0068] In an aspect, the reduction of road risk ranges from 20 to 36% in the 5×5 risk matrix.

BEST METHOD OF PERFORMING
[0069] Hereinafter, the proposed driver evaluation process will be described with the best method of performing the said invention. It may be noted that the description thus disclosed is not limited either by following descriptions of embodiments or aspects.

Example 1:
[0070] A driver seeking a job fills the application form, KYC and uploads their driving license and fee payment in profile platform. The processor generates a unique id for the driver.
[0071] In an aspect, the driver enters the driver evaluation process. In an aspect, the medical report of the driver shows that the driver has a myopic vison of -2 or -10 and whether corrected vision is being used (glasses) to come to 6/6 Vision. The Drivuum score (700) obtained and the entire table along with health parameters is shown in table T1. Audiometric test and entire physiological tests were carried out and the Drivuum Score is obtained. Epileptic patients are scored in a manner that the Score falls under High-Risk Category prodding employers/users to take informed calls (Table attached). Nudging end users to employ drivers with low-risk rating drivers is part of the object. Yet another example could be loss of limbs or an eye, all would fall under high-risk category and accordingly rated as in table T1.
[0072] After 6 months of updating of Drivuum Continuum Score, the driver received one fine challan for seat belt violation. The Drivuum Score for the fine challan is decreased by 0.25. The gross Drivuum Score is altered by 0.25. It is 0.25 for each reporting with minor offences / incidences and 0.50 for each major offence.
Example 2:
[0073] Schools get all Drivers appear for Drivuum Score. School may specify minimum qualifying criteria to be part of the school employment. Accordingly, high risk drivers are asked to leave or offered alternate duty like vehicle maintenance or other staff job (Off live roads driving). School makes a public statement that they only employ x+ rated drivers adding to their credibility amongst PTA and society at large.
Example 3:
[0074] Fleet owners who operate large number of long route buses including operations in hilly terrain and overnight. At present owners have no mechanism to take a holistic view of a Driver on whom 50 or more lives could be entrusted. So, entire set of drivers take these tests and only who are rated above a benchmark (set by the employer) are allowed to drive for critical terrain. The same score is displayed in the bus cabin to instil confidence amongst travelers. They too could announce employing best rated drivers to gain market share
Example 4:
[0075] Insurance Companies have issued directive to base motor premium basis on the history of drivers. As of now, MoRTH provides some data on accidents but that is insufficient to guage the intrinsic safety index of a Driver. Thus, Drivuum provides a comprehensive (360 degree) view of a driver. Insurance Industry have already evinced interest in the product.
Example 5:
[0076] Sample calculation of the Drivuum score (700), the gross Drivuum score (701) and Drivuum Continuum Score (702) is shown in table T2 below.

Table T1: Components, Sub-components and their weightages
Table T2: Sample calculation of the Drivuum score (700), the gross Drivuum score (701) and the continuum score (702)

Example 6:
[0077] The outcome of the present invention of driver evaluation system is assessed in terms of well-known 5×5 risk matrix and is found to have a risk reduction of 20-36%. This could be explained with the following examples.
[0078] As per Mission Vision Study (Source: Vitreo Retina Society of India Study, supported by Roche India) Bharat’s Diabetic Population is currently 90 million and is projected to be 150 million in the coming decades. Diabetic Retinopathy (DR) onset is detected late with 45% of Diabetics having vision loss with 3.60% as STDR. Field Vision and Vision Acuity impacted adversely with major risks on the Road.
[0079] Other medical and psycho-motor reflexes conditions that have major impact on road risks are CVD, Night & Colour Blindness, Epilepsy, Diabetic Neuropathy etc. Non-medical issues that lead to high road-risks constitute literacy level, CMVR awareness, attitudes like competitiveness, impatience, IQ, lack of empathy etc
[0080] The drivers with these medical conditions are present in the market. The risk outcome is extremely severe and the probability of occurrence of accident is almost certain. When these drivers are evaluated with the present invention of driver evaluation system, because of their high-risk rating of Drivuum Continuum Score (702), they are not employed by the user (501). In an aspect, the drivers with the high-risk are weeded out democratically and the probability of occurrence of accident is reduced from almost certain to likely, thereby reducing the road risk to 20%.
[0081] In yet another aspect, the driver undergoes the suggestive training programs, then the Drivuum Continuum Score (702) is improved and the outcome of the risk occurrence reduces from severe to major, thereby reducing the road risk to 36%.
,CLAIMS:We claim,
1. A driver evaluation process comprising,
a physiological fitness component (204),
a psychomotor skills component (205),
a cognitive skills component (206),
a road-man-ship (207),
a post-rating component (208) and
a Drivuum Continuum Score (702);
wherein the Drivuum Continuum Score (702) comprises a Drivuum Score (700) and a gross Drivuum Score (701); the Drivuum Score (700) is evaluated for all sub-components of the driver evaluation process; the gross Drivuum Score (701) is evaluated for each of the components, except the post-rating component (208) of the driver evaluation process, based on the Drivuum Score (700); the Drivuum Continuum Score (702) is a normalized net Drivuum Score which is the final score of the driver based on the gross Drivuum Score (701) using machine learning algorithm; the Drivuum Continuum Score (702) is on the scale of 0-10 with 0 and 10 being the lowest and highest score and is further classified as low risk, moderate risk and high risk;
the Drivuum Continuum Score (702) is reduced further based on some of the physiological fitness component (204) and the post-rating component (208);
the physiological fitness component (204) comprises various medical conditions based on the medical reports of the driver (201) as obtained from the medical specialists, Hi-Tech health kiosks and laboratories;
the psychomotor skills component (205) comprises simulator-based tests on reflexes and learning ability in normal and emergency situation;
the cognitive skills component (206) comprises online questionnaire on patience, spatial awareness, Attitude towards compliance of traffic rules, learning ability, compassion, empathy, response to emergency, accommodative and risk aversion, literacy level, traffic rules awareness (national and international), Standard Operating Procedure (SOP) for vehicle maintenance & safety observance which are filled in vernacular language or language known to the driver with the help of text and speech analytics;
the road-man-ship component (207) comprises online questionnaire to test the ability to grasp the environment;
the post-rating component (208) comprises the police records on accident, incidences, challans or fines imposed of the driver and random checks using GPS, telematics, Intelligent Transport System (ITS), video and speech analytics, verification of Industrial standards;
Each of the physiological fitness component (204), the psychomotor skills component (205), the cognitive skills component (206), the road-man-ship (207) and the post-rating component (208) has a weightage and the Drivuum Continuum Score (702) is calculated based on it;
the Drivuum Continuum Score (702) aids in a reduction of road risk;
2. The driver evaluation process as claimed in claim 1, wherein the weightages the components and sub-components are as described below:
the physiological fitness component (204) has a weightage ranging from 10-50% and its sub-components congenital disability, eyesight, colour blindness, astigmatism, night blindness, squint/cataract, EEG Report, Epilepsy, BMI / Addictions, Pathological Tests, BP, ECG, Blood Sugar, Hearing quality have a sub-component weightage of 7.5%, 20.0%, 5.6%, 3.8%, 3.8%, 3.8%, 10.0%, 10.0%, 5.0%, 5.0%, 3.8%, 7.5%, 3.8%,10.0%, respectively;
the psychomotor skills component (205) has a weightage ranging from 40-60% and its sub-components Linear Test Score, Spatial Test Score, Response Reflex, Learning Ability have a sub-component weightage of 15.0% each;
the cognitive skills component (206) has a weightage ranging from 20-60% and its sub-components Patience, Look Around (Spatial), Compliant to rules, IQ, Learning Ability, Compassion, Accommodative, Risk Aversion, Empathy, Emergency Response have a sub-component weightage of 4.0% each;
the road-man-ship component (207) has a weightage ranging from 30-50% and its sub-components have a sub-components Literacy Level, National traffic rules, International traffic rules, signages traffic rules, Vehicle Tech Knowledge, Maintenance Knowledge, Vehicle Limits Awareness, Hands on experience on maintenance, Tool Kit awareness and its usage have a weightage of 20.0%, 7.5%, 7.5%, 10.0%, 12.0%, 9.0%, 9.0%, 12.5%, 12.5% respectively;
3. The driver evaluation process as claimed in claim 1, wherein the physiological fitness component (204) such as 100% visual impairment, one missing limb, one or two damaged eye, addition status, epilepsy reduces the Drivuum Continuum Score (702) by 3, 2, 2, 2, 3, respectively and the post-rating component (208) such as minor incident and major incident reduces the Drivuum Continuum Score (702) by 0.25, 0.50 respectively.
4. The driver evaluation process as claimed in claim 1, wherein the Drivuum Continuum Score (702) ranging from 7.51-10.00, 3.51-7.50 and 0.00-3.51 are classified as Low risk, Moderate risk, and High risk respectively.
5. The driver evaluation process as claimed in claim 1, wherein the reduction of road risk ranges from 20 to 36% in the 5×5 risk matrix.
6. A driver evaluation system comprising,
a driver platform (200);
a drivuum card (300);
a processor (400);
a user platform (500);
a call center platform (600);
a driver evaluation process;
wherein the driver platform (200) further comprising a profile platform (202) and a test entry platform; the profile platform (202) comprises the personal details of a driver; the test entry platform comprising the driver evaluation process;
the driver evaluation process comprising a physiological fitness component (204), a psychomotor skills component (205), a cognitive skills component (206), a road-man-ship (207) and a post-rating component (208) and a Drivuum Continuum Score (702);
the drivuum card comprises a unique id, details of the driver (201) such as the unique id, passport size photograph, part of KYC details and the QR code are printed on the card to view the Drivuum Continuum Score;
the Drivuum Continuum Score (702) comprises a Drivuum Score (700) and a gross Drivuum Score (701); the Drivuum Score (700) is evaluated for all sub-components of the driver evaluation process; the gross Drivuum Score (701) is evaluated for each of the components, except the post-rating component (208) of the driver evaluation process, based on the Drivuum Score (700); the Drivuum Continuum Score (702) is a normalized net Drivuum Score which is the final score of the driver based on the gross Drivuum Score (701) using machine learning algorithm; the Drivuum Continuum Score (702) is on the scale of 0-10 with 0 and 10 being the lowest and highest score and is further classified as low risk, moderate risk and high risk;
the Drivuum Continuum Score (702) is reduced further based on some of the physiological fitness component (204) and the post-rating component (208);
the physiological fitness component (204) comprises various medical conditions based on the medical reports of the driver (201) as obtained from the medical specialists, Hi-Tech health kiosks and laboratories;
the psychomotor skills component (205) comprises simulator-based tests on reflexes and learning ability in normal and emergency situation;
the cognitive skills component (206) comprises online questionnaire on patience, spatial awareness, Attitude towards compliance of traffic rules, learning ability, compassion, empathy, response to emergency, accommodative and risk aversion, literacy level, traffic rules awareness (national and international), Standard Operating Procedure (SOP) for vehicle maintenance & safety observance which are filled in vernacular language or language known to the driver with the help of text and speech analytics;
the road-man-ship component (207) comprises online questionnaire to test the ability to grasp the environment;
the post-rating component (208) comprises the police records on accident, incidences, challans or fines imposed of the driver and random checks using GPS, telematics, Intelligent Transport System (ITS), video and speech analytics, verification of Industrial standards;
Each of the physiological fitness component (204), the psychomotor skills component (205), the cognitive skills component (206), the road-man-ship (207) and the post-rating component (208) has a weightage and the Drivuum Continuum Score (702) is calculated based on it;
the Drivuum Continuum Score (702) aids in a reduction of road risk;
the Drivuum card (300) is renewed periodically; the test entry platform (203) is populated with the new data based on the present status of the driver (201) of all components except the post-rating component and the Drivuum Continuum Score will be updated;
wherein the processor (400) validates the information in the profile platform (202), generates the unique id, calculate the Drivuum Score (700), suggests corrective measures, training programs for improvement of Drivuum Score (700),
wherein the user platform (500) is a website or mobile app or combination of both displays the driver’s the Drivuum Continuum Score;
Wherein the call center platform (600) helps the driver with the profile platform (202) and the test entry platform (203) and a user with the user platform (500).
7. The driver evaluation system as claimed in claim 6, wherein the weightages the components and sub-components are as described below:
the physiological fitness component (204) has a weightage ranging from 10-50% and its sub-components congenital disability, eyesight, colour blindness, astigmatism, night blindness, squint/cataract, EEG Report, Epilepsy, BMI / Addictions, Pathological Tests, BP, ECG, Blood Sugar, Hearing quality have a sub-component weightage of 7.5%, 20.0%, 5.6%, 3.8%, 3.8%, 3.8%, 10.0%, 10.0%, 5.0%, 5.0%, 3.8%, 7.5%, 3.8%,10.0%, respectively;
the psychomotor skills component (205) has a weightage ranging from 40-60% and its sub-components Linear Test Score, Spatial Test Score, Response Reflex, Learning Ability have a sub-component weightage of 15.0% each;
the cognitive skills component (206) has a weightage ranging from 20-60% and its sub-components Patience, Look Around (Spatial), Compliant to rules, IQ, Learning Ability, Compassion, Accommodative, Risk Aversion, Empathy, Emergency Response have a sub-component weightage of 4.0% each;
the road-man-ship component (207) has a weightage ranging from 30-50% and its sub-components have a sub-components Literacy Level, National traffic rules, International traffic rules, signages traffic rules, Vehicle Tech Knowledge, Maintenance Knowledge, Vehicle Limits Awareness, Hands on experience on maintenance, Tool Kit awareness and its usage have a weightage of 20.0%, 7.5%, 7.5%, 10.0%, 12.0%, 9.0%, 9.0%, 12.5%, 12.5% respectively;
8. The driver evaluation system as claimed in claim 6, wherein the physiological fitness component (204) such as 100% visual impairment, one missing limb, one or two damaged eye, addition status, epilepsy reduces the Drivuum Continuum Score (702) by 3, 2, 2, 2, 3 respectively and the post-rating component (208) such as minor incident and major incident reduces the Drivuum Continuum Score (702) by 0.25, 0.50 respectively.
9. The driver evaluation process as claimed in claim 6, wherein the Drivuum Continuum Score (702) ranging from 7.51-10.00, 3.51-7.50 and 0.00-3.51 are classified as Low risk, Moderate risk, and High risk respectively.
10. The driver evaluation system as claimed in claim 6, wherein the reduction of road risk ranges from 20 to 36% in the 5×5 risk matrix.