Feeder transit routing optimization of driverless electric buses for heterogeneous demands

QI Geqi; ZOU Kaijie; ZOU Jie; LI Wenqian; CAO Jingxuan; WU Jiehao; ZHANG Wenyi

doi:10.16511/j.cnki.qhdxxb.2022.26.001

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Journal of Tsinghua University(Science and Technology) ›› 2022, Vol. 62 ›› Issue (7) : 1178-1185. DOI: 10.16511/j.cnki.qhdxxb.2022.26.001

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Feeder transit routing optimization of driverless electric buses for heterogeneous demands

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Abstract

The discomfort, inconvenience, and delays caused by congestion, environmental exposure and long wait time for conventional buses, shared bicycles or taxis for short feeder trips to and from subway stations are often the main reasons for passengers to quit public transportation. The wide variety of passenger service quality requirements for punctuality, speed, and comfort are difficult to fully satisfy when assuming demand homogenization. This study presents a feeder transit routing optimization method for driverless electric buses for meeting the heterogeneous demands of travelers. In the demand generation stage, users choose personalized indicators such as punctuality, speed, and comfort so that the model can fully consider the impact of personal preferences on the objective function. A vehicle route planning model is then developed with multiple routes and multiple soft time windows with the Tabu search algorithm used to solve the problem. A questionnaire is used to survey the user preferences for each demand index for a case study of the Beijing Fengtai Science and Technology Park subway station and its surrounding area of 4 km². This method significantly improves the ability of the planning results to satisfy heterogeneous commuter demands than the traditional method.

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urban traffic / heterogeneous demand / feeder transit routing optimization / driverless electric buses

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QI Geqi, ZOU Kaijie, ZOU Jie, LI Wenqian, CAO Jingxuan, WU Jiehao, ZHANG Wenyi. Feeder transit routing optimization of driverless electric buses for heterogeneous demands[J]. Journal of Tsinghua University(Science and Technology). 2022, 62(7): 1178-1185 https://doi.org/10.16511/j.cnki.qhdxxb.2022.26.001

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