Highlights Integrate a simplified emission estimation model and mesoscopic dynamic traffic simulator. Cross-resolution representation based on simplified kinematic wave and linear car following models. Evaluate network-wide traffic dynamics and vehicle emission/fuel consumption impact. Construct effective microscopic and macroscopic traffic stream representations.
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.
Integrating a simplified emission estimation model and mesoscopic dynamic traffic simulator to efficiently evaluate emission impacts of traffic management strategies
Transportation Research Part D: Transport and Environment ; 37 ; 123-136
2015-01-01
14 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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