Developing and Field Implementing a Dynamic Eco-Routing System
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2017-04-01
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TRIS Online Accession Number:01644751
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Edition:Final Report
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NTL Classification:NTL-ENERGY AND ENVIRONMENT-ENERGY AND ENVIRONMENT;NTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMS;
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Abstract:The study develops two different eco-routing systems and uses them to investigate and quantify the system-wide impacts of implementing an eco-routing system. The first one is basically a Nash Equilibrium feedback system, which uses the Ant Colony optimization approach; Ant Colony based ECO-routing technique (ACO-ECO). The comparison shows that the enhanced ACO-ECO algorithm reduces the network-wide fuel consumption and CO2 emission levels in the range of 2.3% to 6.0%, and reduces the average trip time by approximately 3.6% to 14.0% compared to the ECO-Subpopulation Feedback Assignment or ECO-SFA. The second developed eco-routing system is a system optimum eco-routing technique, the Linear Programming Feedback Eco-routing System (LPS-ECO), that can better utilize the road network resources. The LPS-ECO load-balances the traffic, so, it reduces the traffic congestion, consequently, minimizes the system wide fuel consumption and emission levels. The LPS-ECO is compared to the shortest-path-based eco-routing that is based on ECO-SFA. The comparison shows that for high traffic demands the LPS-ECO produces fuel consumption savings that reach 38%. LPS-ECO also produces savings in travel time in most of the cases. The study also developed a model to realistically simulate the eco-routing system in a connected vehicle environment and quantifies the impact of the communication performance on the eco-routing. The study shows that the communication can significantly affect the eco-routing system.
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