Welcome to Journal of Automotive Safety and Energy,

Journal of Automotive Safety and Energy ›› 2024, Vol. 15 ›› Issue (5): 711-722.DOI: 10.3969/j.issn.1674-8484.2024.05.009

• Intelligent Driving and Intelligent Transportation • Previous Articles     Next Articles

Multi-objective bi-level programming model for optimization design of bus-HOV lanes

YAO Ronghan1,2(), XU Wentao2, LIN Zijing3,2, WANG Libing1   

  1. 1. School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China
    2. School of Transportation and Logistics, Dalian University of Technology, Dalian 116024, China
    3. College of International Economics and Trade, Ningbo University of Finance and Economics, Ningbo 315175, China
  • Received:2024-08-24 Revised:2024-09-22 Online:2024-10-31 Published:2024-11-07

Abstract:

A multi-objective bi-level programming model for optimization design of bus-HOV (bus and high occupancy vehicle) lanes was formulated to enhance the utilization of exclusive bus lanes. The upper level of the model aimed to minimize the total travel impedance, transit operating costs and vehicle emissions; its lower level realized the user equilibrium of a multi-modal transportation network considering non-HOV, HOV and bus. The non-dominated sorting genetic algorithm Ⅱ and the methods of successive average and successive weight average were used to solve the model and lower level, respectively. The model and its solution algorithms was validated with the Nguyen-Dupuis network. The results show that the given algorithm can effectively obtain the Pareto optimal solution set of the setting scenario of the bus-HOV lanes; the reasonable setting scenario of the bus-HOV lanes can effectively promote carpooling; compared with not setting the bus-HOV lanes, permitting all and a part of high occupancy vehicles to enter the bus-HOV lanes makes the total travel impedance decrease by -0.007%~1.088% and 0.038%~4.493%, makes the transit operating costs ascend 1.057%~3.864% and 4.011%~5.611%, and makes the vehicle emissions reduce -7.598%~-1.111% and -0.677%~3.526%, respectively; when the passenger volume of original destination (OD) pairs is not lower than its critical value, setting the bus-HOV lane is helpful to increase the bus passenger volume.

Key words: traffic engineering, bi-level programming model, multi-objective optimization, bus and high occupancy vehicle lane (bus-HOV lane), user equilibrium

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