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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2020  >  20(3): 89-99
MA Chang-xi, WANG Chao, HAO Wei, LIU Jing, ZHANG Zhao-lei. Emergency customized bus route optimization under public health emergencies[J]. Journal of Traffic and Transportation Engineering, 2020, 20(3): 89-99. doi: 10.19818/j.cnki.1671-1637.2020.03.008
Citation: MA Chang-xi, WANG Chao, HAO Wei, LIU Jing, ZHANG Zhao-lei. Emergency customized bus route optimization under public health emergencies[J]. Journal of Traffic and Transportation Engineering, 2020, 20(3): 89-99. doi: 10.19818/j.cnki.1671-1637.2020.03.008
shu

Emergency customized bus route optimization under public health emergencies

doi: 10.19818/j.cnki.1671-1637.2020.03.008
  • 1.

    School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, Gansu, China

  • 2.

    School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan, China

Funds:

National Natural Science Foundation of China 71861023

Humanities and Social Sciences Research Program of Ministry of Education 18YJC630118

International Cooperation Project of Ministry of Science and Technology of China Montenegro 3-2

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    Abstract
  • Considering the requirements of epidemic prevention and control under public health emergencies, an optimization method of emergency customized bus routes was constructed. The closed areas and road sections in the city were screened and set as the emergency customized bus forbidden areas. Taking the occupancy rate of passengers not exceeding the safety threshold as the constraint, and considering the matching of supply and demand, the optimization model of public health emergency customized bus route was constructed by minimizing the total running time of all emergency customized buses. The genetic algorithm was designed to solve the model. The chromosome was encoded by the three-segment hybrid coding method. The three chromosomes were composed of the customized bus parking lot number, boarding station number and alighting station number. The chromosomes were decoded by using the greedy strategy. A simulation case was used to verify the feasibilities of the optimization model and algorithm, and the optimization results were compared with the customized bus route optimization scheme based on the same passenger transport task under the normal circumstance. Research result shows that the number of vehicles required for the emergency customized bus route under public health emergencies is 2 more than that under the normal circumstance. The total travel time of vehicles increases by 6.997 h compared with that under the normal circumstance. The customized bus route optimization model under the normal circumstance cannot be directly used in public health emergency scenarios. The optimization model and algorithm of customized bus route based on the emergency scenario can obtain the optimized scheme from many alternatives through the fast calculation. It can not only meet the requirement of epidemic prevention, but also meet people's travel needs under public health emergencies.

     

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