This paper addresses a multi-objective simulation-based signal control problem through the case study of “Nancy Grand Cœur” (NGC) eco-neighbourhood.
Secondly, we propose a multi-objective optimization method by using evolutionary algorithms and find the optimal traffic control plan to be used in C129 during ...
May 21, 2018 · Secondly, we propose a multi-objective optimization method by using evolutionary algorithms and find the optimal traffic control plan to be used ...
Multi-objective traffic signal optimization using 3D mesoscopic simulation and evolutionary algorithms. Adriana Simona Mih˘ait˘aa,∗, Laurent Dupontb ...
May 21, 2018 · The current proposed simulation-optimisation framework aims at supporting the traffic engineering decision-making process and the smart city.
Secondly, we propose a multi-objective optimization method by using evolutionary algorithms and find the optimal traffic control plan to be used in C129 during ...
Secondly, we propose a multi-objective optimization method by using evolutionary algorithms and find the optimal traffic control plan to be used in C129 during ...
Feb 15, 2024 · Multi-objective traffic signal optimization using 3D mesoscopic simulation and evolutionary algorithms. Adriana Simona Mihăiţă (1) , Laurent ...
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Multi-objective Evolutionary Algorithms (MOEAs) are in many ways superior to tra- ditional search methods. They have been widely utilized in traffic signal ...
In this paper we there- fore propose a simulation-optimisation approach at a mesoscopic level by using evolutionary algorithms for the optimization of various ...