Back to Search
Start Over
An Open Traffic Light Control Model for Reducing Vehicles' \CO2 Emissions Based on ETC Vehicles.
- Source :
- IEEE Transactions on Vehicular Technology; Jan2012, Vol. 61 Issue 1, p97-110, 14p
- Publication Year :
- 2012
-
Abstract
- Usually, vehicles' stop-and-go driving will consume more fuel and emit more \CO2 than constant speed driving. To reduce vehicles' \CO2 emissions, vehicles' travel should be smoothed by reducing the stop-and-go times. In this paper, a three-tier structure is proposed to realize dynamic traffic light control for smoothing vehicles' travel. In tier-1, an electronic toll collection (ETC) system is employed for collecting road traffic flow data and calculating the recommended speed. In tier-2, radio antennas are installed near the traffic lights. Road traffic flow information can be obtained by wireless communication between the antennas and ETC devices. In tier-3, a branch-and-bound-based real-time traffic light control algorithm is designed to smooth vehicles' travels. After smoothing vehicles' travels, more vehicles can pass intersections with less waiting time and fewer short-time stops; therefore, the vehicles' \CO2 emissions can be reduced. Simulation results indicate that the proposed scheme performs much better than the adaptive fuzzy traffic light control method: The average waiting time, short-time stop times, and \CO2 emissions are greatly reduced, and the nonstop passing rate is greatly improved. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 00189545
- Volume :
- 61
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Vehicular Technology
- Publication Type :
- Academic Journal
- Accession number :
- 71540028
- Full Text :
- https://doi.org/10.1109/TVT.2011.2168836