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
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