Abstract
The present era is marked by rapid improvement and advances in technology. One of the most essential areas that demand improvement is the traffic signal, as it constitutes the core of the traffic system. This demand becomes stringent with the development of Smart Cities. Unfortunately, road traffic is currently controlled by very old traffic signals (tri-color signals) regardless of the relentless effort devoted to developing and improving the traffic flow. These traditional traffic signals have many problems including inefficient time management in road intersections; they are not immune to some environmental conditions, like rain; and they have no means of giving priority to emergency vehicles. New technologies like Vehicular Ad-hoc Networks (VANET) and Internet of Vehicles (IoV) enable vehicles to communicate with those nearby and with a dedicated infrastructure wirelessly. In this paper, we propose a new traffic management system based on the existing VANET and IoV that is suitable for future traffic systems and Smart Cities. In this paper, we present the architecture of our proposed Intelligent Traffic Management System (ITMS) and Smart Traffic Signal (STS) controller. We present local traffic management of an intersection based on the demands of future Smart Cities for fairness, reducing commute time, providing reasonable traffic flow, reducing traffic congestion, and giving priority to emergency vehicles. Simulation results showed that the proposed system outperforms the traditional management system and could be a candidate for the traffic management system in future Smart Cities. Our proposed adaptive algorithm not only significantly reduces the average waiting time (delay) but also increases the number of serviced vehicles. Besides, we present the implemented hardware prototype for STS.
Highlights
In many countries, including several developed countries, regardless of the extensive efforts devoted to develop and improve traffic flow, traditional traffic signals still have the following well-known problems:(a) ey provide inefficient time management on road intersections. is forces vehicle commuters to wait unnecessarily, which in turn causes traffic jams, pollution, extra delays, etc.(b) Intelligence cannot be obtained and they are not adaptive
Vehicles will be able to communicate with the Intelligent Signals wirelessly to achieve their services and provide the following features: the ideal traffic flow as the opening for any road will be based on a dynamic priority; the opening time will be based on the number of waiting vehicles. is can optimize the waiting time, reduce traffic congestion, give priority to crowded roads, and eliminate useless openings, facilitating adequate traffic flow. is in turn can reduce the total travel time and reduce pollution and fuel consumption. e Intelligent Traffic Management System (ITMS) can provide priority access to emergency, police, and firefighter vehicles to seamlessly navigate the roads and arrive at open intersections
We have developed an event-based simulator in Python simulating the proposed algorithm. e simulator is fully parameterized to simulate any intersection having a variable number of roads in the intersection
Summary
Received 11 April 2021; Revised 2 May 2021; Accepted 13 May 2021; Published 27 May 2021. One of the most essential areas that demand improvement is the traffic signal, as it constitutes the core of the traffic system. Ese traditional traffic signals have many problems including inefficient time management in road intersections; they are not immune to some environmental conditions, like rain; and they have no means of giving priority to emergency vehicles. We propose a new traffic management system based on the existing VANETand IoV that is suitable for future traffic systems and Smart Cities. We present the architecture of our proposed Intelligent Traffic Management System (ITMS) and Smart Traffic Signal (STS) controller. We present local traffic management of an intersection based on the demands of future Smart Cities for fairness, reducing commute time, providing reasonable traffic flow, reducing traffic congestion, and giving priority to emergency vehicles.
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