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A mesoscopic integrated urban traffic flow-emission model
Institution:1. Delft Center for Systems and Control (DCSC), Delft University of Technology, The Netherlands;2. Dynamic Systems & Simulation Laboratory, Technical University of Crete, Greece;1. Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Italy;2. Delft Center for Systems and Control, Delft University of Technology, The Netherlands;1. Escola de Engenharia de Lorena, Universidade de São Paulo, SP, Brazil;2. Faculdade de Engenharia de Guaratinguetá, Universidade Estadual Paulista, SP, Brazil;3. Shanghai Jiaotong University, Shanghai, China;4. Instituto de Física e Química, Universidade Federal de Itajubá, MG, Brazil;5. Instituto de Ciências Exatas e Biologicas, Universidade Federal de Ouro Preto, SP, Brazil;6. Instituto de Física, Universidade de São Paulo, SP, Brazil;1. Department of Civil Engineering, University of Messina, Italy;2. Department of Civil Engineering, University of Salerno, Italy;1. Université de Lyon, Lyon, France;2. IFSTTAR, COSYS-LICIT, Bron, France;3. ENTPE, LICIT, Vaulx-en-Velin, France;4. Department of Transportation Engineering, Università di Napoli Federico II, Italy;5. Institute for the Energy and Transport, European Commission – Joint Research Centre, Italy;1. Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 North Mathews Ave., Urbana, IL 61801, United States;2. College of Civil Engineering and Architecture, Zhejiang University, 866 Yuhangtang Rd, Hangzhou 310058, China
Abstract:Due to the noticeable environmental and economical problems caused by traffic congestion and by the emissions produced by traffic, analysis and control of traffic is essential. One of the various traffic analysis approaches is the model-based approach, where a mathematical model of the traffic system is developed/used based on the governing physical rules of the system. In this paper, we propose a framework to interface and integrate macroscopic flow models and microscopic emission models. As a result, a new mesoscopic integrated flow-emission model is obtained that provides a balanced trade-off between high accuracy and low computation time. The proposed approach considers an aggregated behavior for different groups of vehicles (mesoscopic) instead of considering the behavior of individual vehicles (microscopic) or the entire group of vehicles (macroscopic). A case study is done to evaluate the proposed framework, considering the performance of the resulting mesoscopic integrated flow-emission model. The traffic simulation software SUMO combined with the microscopic emission model VT-micro is used as the comparison platform. The results of the case study prove that the proposed approach provides excellent results with high accuracy levels. In addition, the mesoscopic nature of the integrated flow-emission model guarantees a low CPU time, which makes the proposed framework suitable for real-time model-based applications.
Keywords:Model interfacing framework  Mesoscopic model  Integrated flow-emission model
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