An Optimization Model for Determining Bus-Stop Spacing Considering Environment Factor
by Jing Gong, (Lecturer, Department of Computer Science, Wuhan University of Technology, Zip Code 430063. E-mail: gongjing@whut.edu.cn), Xinping Yan, (Professor, Intelligent Transportation Systems Research Center, Wuhan University of Technology, Zip Code430063. E-mail: xpyan@whut.edu.cn), and Chaozhong Wu, (Professor, Intelligent Transportation Systems Research Center, Wuhan University of Technology, Zip Code430063. E-mail: chaozhongwu@gmail.com)
Section: Volume I: Highway Transportation, pp. 1871-1878, (doi: http://dx.doi.org/10.1061/41177(415)236)
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| Document type: |
Conference Proceeding Paper |
| Part of: |
ICTIS 2011: Multimodal Approach to Sustained Transportation System Development: Information, Technology, Implementation |
| Abstract: |
The spacing of transit stops clearly affects the operating time of public transportation system, passenger travel times and vehicle emissions. A model for determining bus-stop spacing is proposed to optimize the travel time of passengers, transit operation cost, and traffic pollution in urban areas. The relationship between bus-stop spacing and vehicle operation is established from analysis of bus operation process. The amount of pollution from vehicles is calculated by putting the required time-velocity input data into mobile emission model. Finally, a bus-stop spacing model is generated aiming at minimizing passengers total travel time cost, the transit operation cost and traffic air pollution cost. A corresponding genetic algorithm is also suggested as a solution. A bus route in Wuhan is examined as an example and the results show that the optimizing method is efficient and practical. |
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