Journal of South China University of Technology (Natural Science Edition) ›› 2015, Vol. 43 ›› Issue (10): 29-34,41.doi: 10.3969/j.issn.1000-565X.2015.10.005

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Traffic Signal Optimization Method Considering Low Emissions and Short Delay

Yang Zhao-sheng1，2 Qu Xin2 Lin Ci-yun1，2 Bing Qi-chun2 Gong Bo-wen1，2   

  1.  1． State Key Laboratory of Automotive Simulation and Control∥Jilin Province Key Laboratory of Ｒoad Traffic，Jilin University， Changchun 130022，Jilin，China; 2． School of Transportation，Jilin University，Changchun 130022，Jilin，China
  • Received:2015-04-24 Revised:2015-07-07 Online:2015-10-25 Published:2015-09-06
  • Contact: 林赐云( 1980-) ，男，博士，讲师，主要从事交通信号控制基础理论与应用技术研究． E-mail:linciyun@jlu.edu.cn
  • About author:杨兆升( 1941-) ，男，教授，博士生导师，主要从事智能交通系统关键理论与技术研究．
  • Supported by:
    Supported by the National Key Technology Ｒesearch and Development Program of the Ministry of Science and Technology of China( 2014BAG03B03) and the Foundation for Youths of National Natural Science Foundation of China( 51308248， 51408257)

PDF

120

Abstract: In order to achieve low emissions and short delays through the multi-objective optimization control of traffic signals，first，the trajectory of the vehicle is described，and the vehicle emissions are calculated based on the vehicular specific power ( VSP) ． Then，the relationship between emissions and delays is quantified by means of the regression analysis，and a traffic signal control model for reducing emissions and shortening delays is constructed to optimize the cycle time and the green time of the signal control intersection． Thus，low emissions and short delays are realized through the multi-objective intelligent control of traffic signals． Finally，the constructed model is verified by a VISSIM simulation and on the basis of a survey about a typical intersection in the city of Changchun． Comparative analysis of the results before and after the optimization shows that the delays are shortened by about 10. 54% and the emissions are reduced by 13. 41%，which proves that the proposed control technology is effective．

Key words: traffic signal control, low emission, multi-objective optimization, vehicle trajectory, vehicular specific power

CLC Number: