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A bi-level programming for bus lane network design
Institution:1. Transportation Management College, Dalian Maritime University, Dalian 116026, PR China;2. School of Automotive Engineering, Dalian University of Technology, Dalian 116024, PR China;3. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, PR China;1. School of Economics and Management, China University of Petroleum, Qingdao 266580, PR China;2. School of Management, Harbin Institute of Technology, Harbin 150001, PR China;3. School of Finance, Hubei University of Economics, Wuhan 430205, PR China;1. Faculty of Business Administration, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador A1B 3X5, Canada;2. DeGroote School of Business, McMaster University, Hamilton, Ontario L8S 4L8, Canada;1. Institute of Transportation Engineering, Zhejiang University, Hangzhou, Zhejiang 310058, China;2. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong 999077, China;3. Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL 32611, United States;1. Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA;2. Department of Civil and Environmental Engineering, University of South Florida, FL, USA
Abstract:This paper proposes a bi-level programming model to solve the design problem for bus lane distribution in multi-modal transport networks. The upper level model aims at minimizing the average travel time of travelers, as well as minimizing the difference of passengers’ comfort among all the bus lines by optimizing bus frequencies. The lower level model is a multi-modal transport network equilibrium model for the joint modal split/traffic assignment problem. The column generation algorithm, the branch-and-bound algorithm and the method of successive averages are comprehensively applied in this paper for the solution of the bi-level model. A simple numerical test and an empirical test based on Dalian economic zone are employed to validate the proposed model. The results show that the bi-level model performs well with regard to the objective of reducing travel time costs for all travelers and balancing transit service level among all bus lines.
Keywords:Bus lane distribution  Bi-level programming  Benefit equilibrium  Column generation algorithm
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