Research Article

Prediction of Traffic Flow considering Electric Vehicle Market Share and Random Charging

Table 1

Characteristics comparison of related work.

StudiesProblem settingModelSolution algorithmTest examplesDwell time cost at FCS

Yuan et al. (2022)The optimal EV charging demand and EV flows in the TUE solutionEV stochastic traffic assignment problem-traffic user equilibriumDL-based surrogate model124-node TN and 118-node PDN system of Nanjing cityYes
Chen et al. (2020)Location problems considering UEBilevel mathematical model considering the equilibrium of route choice and waiting time for chargingNLP algorithmsSioux-falls network Nguyen and Dupuis networkYes
Wang et al. (2019)Large-scale location and capacity design problemThe charging equilibrium model along with the optimal recharging strategiesA customized neighbourhood search strategyYangtze river Delta networkYes
Geng et al. (2019)The coordinated operation of urban transportation and power distribution network with elastic charging demandA multiclass user traffic equilibrium assignment model with elastic charging demandAlternating direction multiplier methodThe topology of the UTN and PDNNo
Ferro et al. (2019)Determining jointly the traffic and the charging service assignmentThe electric vehicles user equilibrium assignment modelLagrange multiplierGenoa municipality (Liguria region)No
This paperPrediction of traffic flow considering electric vehicle market share and random chargingMulticlass stochastic user equilibrium model based on improved logit modelThe method of successive averageSioux Falls networkYes