摘要This research studies ways to coordinate timetables in a regional bus transit with multiple transport modes to satisfy numerous realistic constraints, such as maximum and minimum departure intervals, by considering transfer among buses, subways, and passenger special lines with intersecting routes. The primary objective is to minimize the total waiting time for non-transferring and transferring passengers in all stops, while the secondary objective is to maximize the number of berths for all vehicles arriving at stations during a certain period. The constraint method converts the problem into a single objective programming problem. Based on the characteristic of the model, this study proposes an improved bacterial foraging optimization (BFO) design, which defines solution coding, redesigns the heuristic procedure to initialize chromosomes randomly, and uses the "ladder" concept to enhance bacterial foraging operation, to resolve the problem. Finally, a numerical example is provided to reveal the differences in schedule coordination between single and multiple transport modes as well as to analyze the influence of the best schemes of station capacity. Furthermore, the improved BFO is compared with other intelligent algorithms to verify the model as well as the accuracy and effectiveness of the algorithm.
Abstract：This research studies ways to coordinate timetables in a regional bus transit with multiple transport modes to satisfy numerous realistic constraints, such as maximum and minimum departure intervals, by considering transfer among buses, subways, and passenger special lines with intersecting routes. The primary objective is to minimize the total waiting time for non-transferring and transferring passengers in all stops, while the secondary objective is to maximize the number of berths for all vehicles arriving at stations during a certain period. The constraint method converts the problem into a single objective programming problem. Based on the characteristic of the model, this study proposes an improved bacterial foraging optimization (BFO) design, which defines solution coding, redesigns the heuristic procedure to initialize chromosomes randomly, and uses the "ladder" concept to enhance bacterial foraging operation, to resolve the problem. Finally, a numerical example is provided to reveal the differences in schedule coordination between single and multiple transport modes as well as to analyze the influence of the best schemes of station capacity. Furthermore, the improved BFO is compared with other intelligent algorithms to verify the model as well as the accuracy and effectiveness of the algorithm.
基金资助:Supported by the National Program on Key Basic Research Project (973 Program) (No.2012 CB725402); the National Natural Science Foundation of China (No.51338003, No.51178109); the China Postdoctoral Science Foundation (No.2013M540408); the Natural Science Foundation of Jiangsu High Education (No.13KJB580008); the Nantong Science and Technology Program (No.BK2014059); the Chongqing Key Lab of Traffic System & Safety in Mountain Cities Open Program (No.KTSS201303); and the Jiangsu Construction Systems Technology Project (No.2013ZD38)
魏明, 陈学武, 孙博. 多模式区域公交协调调度模型和算法[J]. Journal of Highway and Transportation Research and Development, 2015, 9(3): 78-84.
WEI Ming, CHEN Xue-wu, SUN Bo. Model and Algorithm of Schedule Coordination in Regional Bus Transit with Multiple Transport Modes. Journal of Highway and Transportation Research and Development, 2015, 9(3): 78-84.
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2015, Vol. 9 
