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An eco-routing model considering microscopic vehicle operating conditions
Institution:1. Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA;2. Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48825, USA;3. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China;4. School of Business Administration, Southwestern University of Finance and Economics, Chengdu, PR China;1. Department of Combinatorics and Optimization, Faculty of Mathematics, University of Waterloo, Canada;2. Department of Industrial and Systems Engineering, University of Minnesota, United States;3. Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, United States;1. Department of Industrial Engineering, Tsinghua University, Beijing, 100084, China;2. School of Industrial Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
Abstract:The eco-routing problem concerned in this paper addresses the optimal route choice of eco-drivers who aim to meet an emission standard imposed by regulators, while trying to find the path with the minimum total operating cost, which consists of both travel time and fuel costs. The paper first develops fuel consumption and greenhouse gas emissions estimation models that link emission rates to a vehicle’s physical and operational properties. Unlike most studies in the literature, the emission model developed in this paper retains as many microscopic characteristics as feasible in the context of route planning. Specifically, it is able to approximate the impacts of major acceleration events associated with link changes and intersection idling, and yet does not require detailed acceleration data as inputs. The proposed eco-routing model also explicitly captures delays at intersections and the emissions associated with them. Using a simple probabilistic model, the impacts of different turning movements on eco-routing are incorporated. The proposed model is formulated as a constrained shortest path problem and solved by off-the-shelf solvers. Numerical experiments confirm that vehicle characteristics, especially weight and engine displacement, may influence eco-routing. The results also suggest that ignoring the effects of turning movements and acceleration may lead to sub-optimal routes for eco-drivers.
Keywords:Eco-routing  Greenhouse gas emissions  Route choice  Emission standard  Constrained shortest path problem
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