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Integrated optimization of transit priority operation at isolated intersections: A person-capacity-based approach
Institution:1. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai, PR China;2. Department of Systems and Industrial Engineering, The University of Arizona, 1127 E. James E. Rogers Way, P.O. Box 210020, Tucson, AZ 85721-0012, United States;1. University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai, PR China;2. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, 4800 Cao’an Road, Shanghai, PR China;3. Department of Systems and Industrial Engineering, University of Arizona, Tucson, AZ, USA;1. School of Transportation Science and Engineering, Beihang University, Beijing 100191, China;2. Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing 100191, China;3. Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY 12180, United States;1. Department of Civil and Environmental Engineering, University of Massachusetts, Amherst, MA 01003, United States;2. School of Engineering, University of Glasgow, Glasgow G12 8LT, United Kingdom;3. Institute of Transportation Studies, University of California, Berkeley, CA 94720, United States;1. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai, PR China;2. Department of Civil Engineering and Mechanics, University of Wisconsin at Milwaukee, United States;3. Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;4. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, SiPaiLou #2, Nanjing 210096, PR China;1. University of Florida, 365 Weil Hall, PO Box 116580, Gainesville, FL 32611, United States;2. Department of CISE, University of Florida, Gainesville, FL 32611, United States
Abstract:In this paper, a person-capacity-based optimization method for the integrated design of lane markings, exclusive bus lanes, and passive bus priority signal settings for isolated intersections is developed. Two traffic modes, passenger cars and buses, have been considered in a unified framework. Person capacity maximization has been used as an objective for the integrated optimization method. This problem has been formulated as a Binary Mixed Integer Linear Program (BMILP) that can be solved by a standard branch-and-bound routine. Variables including, allocation of lanes for different passenger car movements (e.g., left turn lanes or right turn lanes), exclusive bus lanes, and passive bus priority signal timings can be optimized simultaneously by the proposed model. A set of constraints have been set up to ensure feasibility and safety of the resulting optimal lane markings and signal settings. Numerical examples and simulation results have been provided to demonstrate the effectiveness of the proposed person-capacity-based optimization method. The results of extensive sensitivity analyses of the bus ratio, bus occupancy, and maximum degree of saturation of exclusive bus lanes have been presented to show the performance and applicable domain of the proposed model under different composition of inputs.
Keywords:Exclusive bus lanes  Lane markings  Bus signal priority  Person capacity
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