DocumentCode :
3224957
Title :
Signal Optimization Problem with Pedestrians Non-complying at a Single Intersection
Author :
Li, Ying-Feng ; Shi, Zhong-ke ; Zhou, Zhi-Na
Author_Institution :
Coll. of Autom., Northwestern Polytech. Univ., Xian
Volume :
2
fYear :
2008
fDate :
20-22 Oct. 2008
Firstpage :
288
Lastpage :
292
Abstract :
Without persons specially assigned to manage pedestrians, pedestrians almost are reluctant to wait in developing cities, such as Xipsilaan during green phases for vehicles. Thus, some vehicles may conflict with pedestrianspsila noncompliance, and be delayed. To solve the signal optimization problem of urban traffic with pedestrianspsila noncompliance, a hybrid optimization algorithm is developed. In this algorithm, the performance index (PI), concerned on the total retained vehicles over the whole control period, includes the number of retained vehicles for waiting green signal and violating pedestrians. The number of retained vehicles for pedestrians violating is estimated by a Monte Carlo method. The simulations are conducted under the condition of heavy traffic demands. The results indicate that, under the condition of heavy traffic flow, this method is more available to protect the pedestrians than the traditional method.
Keywords :
Monte Carlo methods; optimisation; traffic; Monte Carlo method; hybrid optimization algorithm; pedestrians; performance index; signal optimization; urban traffic; Automation; Cities and towns; Conference management; Delay estimation; Educational institutions; Genetic algorithms; Intelligent vehicles; Performance analysis; Technology management; Traffic control; Colony following; Genetic algorithm; Integrated queues; Pedestrian non-compliance; Signal optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
Type :
conf
DOI :
10.1109/ICICTA.2008.306
Filename :
4659769
Link To Document :
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