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Integrating a simplified emission estimation model and mesoscopic dynamic traffic simulator to efficiently evaluate emission impacts of traffic management strategies
Institution:1. School of Sustainable Engineering and the Built Environment, Arizona State University, USA;2. Department of Civil, Construction and Environmental Engineering, North Carolina State University, USA;3. Department of Civil and Environmental Engineering, University of Utah, USA;4. Institute for Transportation Research and Education (ITRE), Department of Civil, Construction and Environmental Engineering, North Carolina State University, USA;1. Traffic Engineering Laboratory (LICIT), Université de Lyon, F-69000 Lyon, France, IFSTTAR, LICIT, F-69675 Bron, ENTPE, LICIT, F-69518 Vaulx En Velin, France;2. Institut Mines-Télécom, Télécom Bretagne, UMR CNRS 6285 Lab-STICC, Technopôle Brest Iroise, CS 83818, 29238 Brest Cedex 3, France;3. Trinity College Dublin, School of Computer Science and Statistics, Distributed Systems Group, Ireland;4. Laboratoire d’InfoRmatique en Image et Systèmes d’information, Université de Lyon, France;1. Institute of Transportation Studies, 4000 Anteater Instruction and Research Bldg, University of California, Irvine, CA 92697-3600, United States;2. Department of Civil and Environmental Engineering, California Institute for Telecommunications and Information Technology, Institute of Transportation Studies, 4000 Anteater Instruction and Research Bldg, University of California, Irvine, CA 92697-3600, United States;3. Department of Civil and Environmental Engineering, Institute of Transportation Studies, 4000 Anteater Instruction and Research Bldg, University of California, Irvine, CA 92697-3600, United States;1. School of Science, Southwest University of Science and Technology, Mianyang, Sichuan, China;2. Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Beijing, China;3. China Aerodynamics Research and Development Center, Mianyang, Sichuan, China;1. School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85281, USA;2. School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ 85281, USA;1. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;2. College of Science and Technology, Texas Southern University, Houston, TX 77004, USA
Abstract:This paper presents a computationally efficient and theoretically rigorous dynamic traffic assignment (DTA) model and its solution algorithm for a number of emerging emissions and fuel consumption related applications that require both effective microscopic and macroscopic traffic stream representations. The proposed model embeds a consistent cross-resolution traffic state representation based on Newell’s simplified kinematic wave and linear car following models. Tightly coupled with a computationally efficient emission estimation package MOVES Lite, a mesoscopic simulation-based dynamic network loading framework DTALite is adapted to evaluate traffic dynamics and vehicle emission/fuel consumption impact of different traffic management strategies.
Keywords:Emission estimation  Dynamic traffic assignment  Integrated traffic emission model  Cross-resolution model
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