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Mesoscopic simulation for transit operations
Institution:1. Technion – Israel Institute of Technology, Haifa 32000, Israel;2. Royal Institute of Technology (KTH), Teknikringen 72, 100 44 Stockholm, Sweden;1. CF612, Department of Electrical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China;2. 231L Sackett Building, Department of Civil and Environmental Engineering, Pennsylvania State University, University Park, PA 16802, USA;3. 416 McLaughlin Hall, Department of Civil and Environmental Engineering, University of California, Berkeley, CA 94720, USA;1. Future Cities Laboratory, Singapore-ETH Centre, Singapore 138602, Singapore;2. Department of Civil & Environmental Engineering, National University of Singapore, Singapore 117576, Singapore;3. Transport Engineering Division, Civil Engineering Department, Universidad de Chile, Santiago, Chile;4. Institute for Transport Planning and Systems (IVT), ETH Zürich, Zürich 8093, Switzerland;1. Department of Civil and Materials Engineering, University of Illinois at Chicago, Chicago, IL, USA;2. Systems Modeling and Controls Group, Argonne National Laboratory, Argonne, IL, USA
Abstract:This paper presents a transit simulation model designed to support evaluation of operations, planning and control, especially in the context of Advanced Public Transportation Systems (APTS). Examples of potential applications include frequency determination, evaluation of real-time control strategies for schedule maintenance and assessing the effects of vehicle scheduling on the level of service. Unlike most previous efforts in this area, the simulation model is built on a platform of a mesoscopic traffic simulation model, which allows modeling of the operation dynamics of large-scale transit systems taking into account the stochasticity due to interactions with road traffic. The capabilities of Mezzo as an evaluation tool of transit operations are demonstrated with an application to a real-world high-demand bus line in the Tel-Aviv metropolitan area under various scenarios. The headway distributions at two stops are compared with field observations and show good consistency between simulated and observed data.
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