Urban Traffic Signal Control Based On Connected Vehicles Simulation Platform

Intelligent transportation system (ITS) has commonly been accepted as an effective method to improve traffic performance. Traffic signal control, as an important part of ITS, is considered to effectively regulate and control traffic flow directly to improve capacity of intersection. At the same time, with the development of connected vehicles, a new, accurate and abundant data resource is available for traffic signal control, which will result in. change of traditional traffic signal control methods. This paper studied urban traffic signal control algorithms with cooperative vehicle infrastructure under different conditions based on real time data from connected vehicles simulation platform. The algorithms are implemented and tested in connected vehicles simulation platform using certain storage structure and corresponding expression.The main work of this paper was as follows:(1) Based on the analysis of basic parameters of traffic signal control, a linked storage structure is built up which can store time parameters and structure parameters of traffic signal control algorithm, and corresponding algorithm expression is summarized, which are the basis of implementing complete control for simulation traffic lights in connected vehicles simulation platform.(2) A connected vehicles simulation platform based on TransModeler (CVSP-TSM) is built up. On the basis of TransModeler deep secondary development technology, a research middleware for application layer of connected vehicle system is implemented, whose data acquisition mode is based on main function simulation of sensor level and network level of connected vehicles system. The research middleware for application layer makes the whole closed-loop process of research, development and test for traffic signal control algorithm with cooperative vehicle infrastructure available in connected vehicles data application mode.(3) An adaptive traffic signal control algorithm with cooperative vehicle infrastructure (ATSC-CVI) is put forward based on basic idea of classic full actuated control, which optimizes phase sequence and signal timing parameters by effective use of the connected vehicles data. Simulation experiments are carried out in CVSP-TSM, and the result shows that ATSC-CVI performs better than fixed time control and actuated control.(4) A priority traffic signal control algorithm with cooperative vehicle infrastructure for emergency vehicles (PTSC-CVI) is put forward based on ATSC-CVI to meet the priority demand of emergency vehicles, which uses methods of locking green and shortening red to adjust the traffic signal parameters. Simulation experiments are carried out in CVSP-TSM, and the result shows that PTSC-CVI can reduce travel time of emergency vehicles without significant effect on other vehicles.