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The influence of traffic on heavy-duty vehicle platoon formation.

, , , , and . Intelligent Vehicles Symposium, page 150-155. IEEE, (2015)

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MOEA/D with opposition-based learning for multiobjective optimization problem., , , , , , , and . Neurocomputing, (2014)Optimal controls of fleet trajectories for fuel and emissions.. Intelligent Vehicles Symposium, page 1059-1064. IEEE, (2013)Behavior Measurement, Analysis, and Regime Classification in Car Following., and . IEEE Trans. Intelligent Transportation Systems, 8 (1): 144-156 (2007)Adaptive Group-Based Signal Control Using Reinforcement Learning with Eligibility Traces., and . ITSC, page 2412-2417. IEEE, (2015)Link speed prediction for signalized urban traffic network using a hybrid deep learning approach., , , , and . ITSC, page 2195-2200. IEEE, (2019)A Multi-Objective Agent-Based Control Approach With Application in Intelligent Traffic Signal System., and . IEEE Trans. Intelligent Transportation Systems, 20 (10): 3900-3912 (2019)MOEA/D with uniform decomposition measurement for many-objective problems., , , , , and . Soft Comput., 18 (12): 2541-2564 (2014)The influence of traffic on heavy-duty vehicle platoon formation., , , , and . Intelligent Vehicles Symposium, page 150-155. IEEE, (2015)MOEA/D with biased weight adjustment inspired by user preference and its application on multi-objective reservoir flood control problem., , , , , , , , , and 1 other author(s). Soft Comput., 20 (12): 4999-5023 (2016)Towards intelligent fleet management: Local optimal speeds for fuel and emissions.. ITSC, page 2201-2206. IEEE, (2013)