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Deep Learning Based Proactive Multi-Objective Eco-Routing Strategies for Connected and Automated Vehicles
Whether myopic or proactive, the multi-objective routing, with travel time and GHG minimization as objectives, outperformed the single objective routing strategies, causing a reduction in the average travel time (TT), average vehicle kilometre travelled (VKT), total GHG and total NOx by 17%, 21%, 18%, and 20%, respectively.
Greenhouse Gas Emission Prediction on Road Network using Deep Sequence Learning
Mitigating the substantial undesirable impact of transportation systems on the environment is paramount.
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