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Abstract:
Improving the uniformity of bus arrival intervals and operational service reliability through effective control strategies is an important way to enhance the quality of bus services and the satisfaction of passengers. First, a bus operation model was developed in consideration of the fluctuation of passenger boarding demand at stops. Second, a bus interval speed regulation strategy was proposed based on travel time deviation feedback mechanism, and then a station passenger information guidance strategy was designed based on the boarding choice behavior model. To minimize passenger travel costs and bus headway deviations, this paper proposed a combination optimization control strategy integrating speed regulation and boarding guidance for bus operation and the solution method. Taking the bus Route No. 57 in Beijing as an example, this paper performed the numerical simulation comparison experiments for four scenarios. The results show that the combination control strategy has the best optimization effect. Compared with the no control strategy, the stability of bus operation has been improved by 47.7% through the proposed method, and the bus bunching on the route was avoided. The comprehensive cost considering travel time and congestion has been reduced by 18.71%. The study also compared the optimization effects of strategies under different passenger income levels and passenger guidance information compliance rates. The results show that the effect of information guidance strategies on reducing total travel costs reduce as income levels increase. When the passenger guidance information compliance rate is 0.7. The combination control strategy has the most significant improvement effect on bus operation and passenger travel. This study can provide important support for the bus operation reliability and service quality improvement. © 2023 Science Press. All rights reserved.
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Journal of Transportation Systems Engineering and Information Technology
ISSN: 1009-6744
Year: 2023
Issue: 6
Volume: 23
Page: 165-175
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count: 2
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 12
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