DocumentCode :
229306
Title :
GreenSwirl: Combining traffic signal control and route guidance for reducing traffic congestion
Author :
Jiaxing Xu ; Weihua Sun ; Shibata, Naotaka ; Ito, Minora
Author_Institution :
Nara Inst. of Sci. & Technol., Ikoma, Japan
fYear :
2014
fDate :
3-5 Dec. 2014
Firstpage :
175
Lastpage :
182
Abstract :
Serious traffic congestion is a major social problem in large cities. Inefficient setting of traffic signal cycles, especially, is one of the main causes of congestion. Green Wave is a method for controlling traffic signals which allows one-way traffic to pass through a series of intersections without being stopped by a red light. Green Wave was tested in several cities around the world, but the results were not satisfactory. Two of the problems with Green Wave are that it still stops the crossing traffic, and it forms congestion in the traffic turning into or out of the crossing streets. To solve these problems, we propose a method of controlling traffic signals, GreenSwirl, in combination with a route guidance method, GreenDrive. GreenSwirl controls traffic signals to enable a smooth flow of traffic through signals times to turn green in succession and through non-stop circular routes through the city. The GreenWave technology is extended thereby. We also use navigation systems to optimize the overall control of the city´s traffic. We did a simulation using the traffic simulator SUMO and the road network of Manhattan Island in New York. We confirmed that our method shortens the average travel time by 10%-60%, even when not all cars on the road are equipped to use this system.
Keywords :
digital simulation; road traffic control; traffic engineering computing; Green Wave; GreenDrive; GreenSwirl; Manhattan Island; New York; crossing traffic; navigation systems; no-stop circular routes; one-way traffic; route guidance; traffic congestion reduction; traffic signal control; traffic signal cycles; traffic simulator SUMO; Cities and towns; Green products; Navigation; Roads; Sensors; Timing; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Networking Conference (VNC), 2014 IEEE
Conference_Location :
Paderborn
Type :
conf
DOI :
10.1109/VNC.2014.7013337
Filename :
7013337
Link To Document :
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