Adaptive signal control system using connected vehicle data

使用互联车辆数据的自适应信号控制系统

• 批准号: 477481-2014
• 负责人: Razavi, Saiedeh
• 金额: $ 1.82万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=565806
• 关键词: Adaptive; signal; control; system; using

Conventional signal control systems use pre-determined signal timing schedules which often contribute to traffic congestion and delay. Adaptive signal control technologies adjust the traffic lights to accommodate traffic flow patterns, enable the use of maximum capacity of infrastructure and reduce costs for both motorists and operating agencies. Adaptive signal control technologies can use real time Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) data to determine the traffic volume and adjust the traffic light timing. This project aims at developing an adaptive signal control system using connected vehicle data. A primary concern regarding the deployment of such system that uses connected vehicle technology data is the degree of market penetration required for effectiveness. The design of an adaptive signal control algorithm needs to include innovative techniques to perform effectively despite the lack of data when lower number of vehicles is equipped with the

传统的信号控制系统使用预定的信号定时时间表，这往往会导致交通拥堵和延误。自适应信号控制技术调整红绿灯以适应交通流量模式，使基础设施的容量达到最大，并降低驾车者和运营机构的成本。自适应信号控制技术可以使用实时的车辆对车辆(V2V)和车辆对基础设施(V2I)数据来确定交通量和调整红绿灯配时。本项目旨在开发一种利用互联车辆数据的自适应信号控制系统。部署这种使用联网车辆技术数据的系统的一个主要问题是有效性所需的市场渗透程度。自适应信号控制算法的设计需要包括创新技术，以便在较少数量的车辆配备