Description: Field of Invention
Traffic signal improvement in smart cities is essential to control vehicle traffic on road. The existing traffic control system has numerous problems like improper time management at vehicles crossroad, no priority system to allow emergency vehicles like an ambulance. To overcome these issues, we are required to improve traffic management with the digitized traffic management system.
The objectives of this invention
The objective of this invention is to improve traffic management.
Background of the invention
This invention relates to improving digitized traffic management. With the development of modern technology, many wide and mid-sized urban centers are progressively troubled by crowded traffic environments which provide traffic issues. So, we require improving digitized traffic management. Many cities have imperfect road traffic that meets traffic congestion. This traffic congestion provides traffic accidents and minimized traffic efficiency. To avoid traffic congestion, we use digitized traffic management. This system predicts guidance of route conditions, traffic plans, and traffic control. Traffic light controllers have been used to control traffic on road (M. Radivojevi.c, 2019). A communication with multi-agent technology was designed to control traffic lights to avoid traffic accidents on the crossroad (Q. Wu, J. Wu. 2020).
The Q-learning technology was used to control vehicle traffic on crossroads as well as increase the number of vehicles (N. Kumar, 2019). The Optimized-based ant colony method was designed to control traffic on the crossroad (P. M. Kumar, 2018). Optimized based artificial bee colony method was designed to control traffic on the crossroad (K. Gao, 2017). The augmented reality with the internet of things (IoT) based vehicle traffic control system has been designed to control traffic (Meenu Rani Dey, 2019). The density-based traffic control system was designed (K. Bagya Lakshmi, 2018). these systems are not include the efficient traffic management systems. The existing vehicle traffic control systems does not provide efficient time management on highways and crossroad, so traffic jam will be increased.
The vehicular networks are innovative networks that require smart traffic management systems to improve the traffic environment( like driving safely, efficient traffic management). The existing system doesn't have any priority rewards for vehicles such as ambulances, so the emergency vehicles are also necessarily waiting at crossroads. So, the traffic system requires a smart traffic management system to improve the traffic efficiency and reduce the waiting delays on highways.
The existing three light traffic systems have numerous traffic issues which don’t provide kinetic and adjustable services. So the existing traffic management system requires to improve the traffic functionality by adding digitized smart traffic management system to kinetic and adjustive services. This innovative system minimizes the traffic jams and traffic congestion on roads, reduces the traveling time and traffic pollution.

Description of Prior Art
The research finding on resource allocation in cognitive radio network using internet of things is essential for vehicles while travelling on road. The vehicles require an information of road conditions, traffic jams and traffic congestion. We require to improve the resource allocation system using IoT parameters. The vehicle communication systems are improved with optical communication system which include electronic circuit to exchange information (PCT/US2018/043947).
While driving the vehicle, they introduced shockwave prediction system to provide safe driving mechanism to prevent from communication congestion among the vehicle (US20210049900 A1). This studies focused on message exchange among the vehicles (US20160203712, WO2019/091645, US 20210058752 A1). This study focused on how to measure signal on roadside and transmission of road status reports to the vehicles on the road (WO2017/133769). This study focused on traffic Management systems(US 20190340922 A1)
Summary of the invention
The primary motive of the invention is to improve digitized traffic management. The ultimate aim is to improve the VANET structure with a smart traffic control management system to control different types of communication between vehicles and other devices. The onboard units (OBUs) are embedded in VANET to make effective communication between V2V and the roadside unit (RSU) to improve the traffic signal strength at a crossroad. This system includes the priority scheduling system for emergency vehicles (like ambulances, police, etc.,) to control traffic on a crossroad.
Brief description of Drawing
In the figures which are illustrate about the invention.
Figure 1 The block diagram of smart traffic control management system
Detailed description of the invention
The current technology is to increase the vehicle traffic flow at the crossroad. Our invention is digitized traffic management architecture which includes a smart traffic control management system (STCMS) and intelligent traffic signal (ITS). This innovation architecture includes OBUs and ITS. All vehicles are well equipped with OBUs that can be firmly communicated with entities. This invention will perform well communication between signal to the vehicle (S2V) and vehicle to signal. The ITS in this invention will manage the effective communication between vehicle and ITS.
The vehicular ad-hoc networks (VANETs) provide straight communication between vehicles on the road for transmitting information. This network includes vehicle-to-vehicle(V2V) and vehicle-to-vehicle infrastructure (V2I). The V2V communication system permits vehicles to exchange information between them on the highways and crossroads. This communication helps to prevent vehicles from traffic on the road. The V2I communication system permits the vehicle to communicate with well-equipped infrastructure alongside the road.
The onboard unit(OBU) is well equipped with all vehicles for effective communication among vehicles. A roadside unit is also well established on the road side for effective communication among vehicles on highways and crossroads. These systems protect vehicles from traffic congestion on highways and crossroads. The internet of vehicle (IoV) is an advanced version of VANET which includes many features and controls traffic effectively. Many sensors are present in IoV which sense the vehicles' information. Based on that information, the traffic management system will control the traffic congestion on the road.
The IoV provides several services like safety related services which includes wreck or avoidance of conflict services, emergency warning system, dynamic lane information, coordination of crossroad, the warning of the traffic signal violation, and the detection of traffic violation on highways and crossroad in the smart cities. Based on these information the STCMS will control the vehicle traffic flow control on highways and crossroads in the smart cities.
The priority management systems are adopted with the ITS system, which will perform prioritization of the vehicle movement at the crossroad. The priority management system detects any arrival vehicles in emergency condition then it will open the traffic signal without traffic congestion on a crossroad in smart cities. The communication among vehicles and signals is controlled by a wireless Transceiver.
The ultimate aim of the adaptive management of traffic control system is to control the vehicle traffic based on traffic density on road. The invention system includes IoV features that will collect the vehicle's information from the real-time environment by ITS system and it will control the traffic flow density at crossroads effectively. Some vehicles want to travel on any road before start it should know the information about road condition. This information can fetch from the internal memory of OBUs using IoV.
This architecture includes a global navigation satellite system (GNSS) which permits the vehicle to recognize its current situation, its actual speed, and its direction in degrees. According to GNSS information, the innovative algorithm control vehicle traffic on crossroads effectively.
Detailed description of the drawing
The innovative invention system architecture as shown in figure 1, invention system contains OBU of vehicle, ITS controller (ITSC), and GNSS.
Every vehicle on road is well equipped with OBU which provides good communication between vehicles on road. When the vehicles are on road, they should know its characteristics like location, flow direction, and speed by GNSS and location service unit (LSU). Based on the GNSS and LSU information the traffic management system controls the traffic on a crossroad in smart cities.
The ITSC system has been placed in the center of the crossroad or any corner of the road that will control the traffic based on vehicles priority. The IoV protocol provides well communication between vehicles to improve traffic management efficiency. Crisis Priority Management Unit is utilized to identify the presence of any show-up crisis vehicle to open the street for it without holding up at the convergence. , Claims: The scope of the invention is defined by the following claims:

1. Our invention “A Vehicle Traffic control system for smart cities based on Internet of Vehicles (IoV)” is based on vehicle traffic control at crossroads and vehicles are permitted to travel based on priority.

a) The IoV is used to claim the traffic signal at the crossroad

b) The priority scheduling approach is used to control emergency vehicle flow at the crossroad.

2. According to claim 1, the invention system includes OBU to provide secured communication between vehicles and avoid traffic jams at the crossroad.

3. According to claim 1, the invention system includes ITS which controls emergency vehicles' flow traffic on the crossroad.

4. According to claim 1, the proposed invention system will improve the traffic management system effectively, so traffic control will be efficient at a crossroads in cities.