A Battery Electric Vehicle Transportation Network Design Model with Bounded Rational Travelers

With governments worldwide emphasizing environmental protection and the global focus on carbon reduction, battery electric vehicle (BEV) industry has developed rapidly. An urban transportation network with BEVs as main form of will soon become mainstream. Motivated by abovementioned background, a BEV design problem is investigated, model established. The aims to minimize system travel time networks optimize government’s lane expansion scheme (the location number lanes) under limited budget. To consider characteristics drivers, charging time, range anxiety, bounded rationality factors are simultaneously incorporated into model. A heuristic algorithm designed based active set obtain local optimal solution actual-scale problem. Moreover, cutting-plane method used convert original different form, column generation technique embedded in avoid enumeration paths. Sensitivity analyses levels drivers government investment scales performed. experimental results demonstrate that can effectively solve provide decision support for formulating infrastructure construction policies.