Abstract
The urban intersection signal decision-making in traditional control methods are mostly based on the vehicle information within an intersection area. The far vehicles that have not reached the intersection area are not taken into account, which results in incomplete information and even incorrectness in decision-making. This paper presents an intersection signal control mechanism assisted by far vehicle information. Using the aid of real-time information collection for far vehicles through vehicular ad hoc networks (VANETs), we can consider them together and calculate the accumulative waiting time for each intersection traffic flow at a future moment to make the optimal signal decision. Simulation results show that, under three different traffic flow environments—same even traffic flows, same uneven traffic flows, and different traffic flows—the two proposed implementation schemes based on the mechanism (fixed phase and period timing improvement scheme, and dynamic phase and period control scheme) show good performances, in which the average waiting time and the ratio of long-waiting vehicles are both less than the results of the traditional signal timing scheme. Especially, in the second scheme, the waiting time was reduced by an average of 38.6% and the ratio of long-waiting vehicles was reduced by an average of 7.67%.
Highlights
An efficient traffic management system is the base and essential prerequisite for economic and social development
Under the environment with the same even traffic flows (Figure 5a), when the value of traffic flows was small, due to the estimation for the arrival time of each far vehicle and the raising of the precision level in decision-making, the waiting time in the fixed-FA and dynamic-FA was obviously smaller than that in the traditional timing scheme; when the number of vehicles increased, the results of three schemes tended to be the same, which was because all arrival traffic flows became equal and saturated, and the regulating effect of the dynamic signal control dropped gradually and even disappeared regardless of whether the far vehicles were taken into account
We proposed an intersection signal control mechanism that was assisted by obtaining far vehicle information
Summary
An efficient traffic management system is the base and essential prerequisite for economic and social development. Hemakumar et al [29] proposed an adaptive and intelligent traffic control system based on a VANET in which a traffic signal controller is placed at each intersection The system uses it to communicate with the vehicles in the area, and calculate the priority of each signal phase according to the waiting time. In this study, aiming at the issue of optimal decision-making for intersection signal control [11,30,31,32], we designed a real-time information collection scheme for the far vehicles using a VANET, and took them into consideration, as well as the information of the intersection vehicles, to determine the intersection traffic condition at a certain time in the future. The vehicles in the ith traffic flow that can pass the intersection in T g Adjusted waiting time
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