Abstract
We investigate the problem of adaptive traffic light control of multiple intersections using real-time traffic data collected by a wireless sensor network (WSN). Previous studies mainly focused on optimizing the intervals of green lights in fixed sequences of traffic lights and ignored the traffic flow's characteristics and special traffic circumstances. In this paper, we propose an adaptive traffic light control scheme that adjusts the sequences of green lights in multiple intersections based on the real-time traffic data, including traffic volume, waiting time, number of stops, and vehicle density. Subsequently, the optimal green light length can be calculated from the local traffic data and traffic condition of neighbor intersections. Simulation results demonstrate that our scheme produces much higher throughput, lower average waiting time and fewer number of stops, compared with three control approaches: The optimal fixed-time control, an actuated control and an adaptive control.
Original language | English |
---|---|
Title of host publication | 2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings |
DOIs | |
Publication status | Published - 29 Aug 2011 |
Event | 2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Budapest, Hungary Duration: 15 May 2011 → 18 May 2011 |
Conference
Conference | 2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring |
---|---|
Country/Territory | Hungary |
City | Budapest |
Period | 15/05/11 → 18/05/11 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Applied Mathematics