A novel mobile charging service that utilizes vehicle-to-vehicle(V2V)charging technology has recently been proposed as a supplement to fixed charging infrastructure(CI),enabling electric vehicles(EVs)to exchange elect...A novel mobile charging service that utilizes vehicle-to-vehicle(V2V)charging technology has recently been proposed as a supplement to fixed charging infrastructure(CI),enabling electric vehicles(EVs)to exchange electricity.This study formulates a vehicle routing problem(VRP)of vehicle-to-vehicle(V2V)charging,optimizing the routing of discharging vehicles(DVs)to service recharging vehicles(RVs)while taking into account their willingness to join the V2V charging platform.A mixed integer linear programming(MILP)model is established to optimize the VRP-V2V(i.e.the VRP of V2V charging),which is known to be NP-hard.To solve large-scale instances for real-world applications,we propose an adaptive large neighbourhood search(ALNS)algorithm,which,when combined with the structure of the VRP-V2V problem,utilizes four local search procedures to enhance solution quality following destroy-and-repair operators.Results indicate that the proposed ALNS algorithm outperforms the optimization solver CPLEX in small-scale instances,and can solve large-scale instances that are unfeasible using the CPLEX solver.In a numerical analysis of Changsha’s large-scale network,we demonstrate that the V2V platform can save an average of 33.1%on the charging cost of RVs,hence raising customer satisfaction with charging services and reducing range anxiety.The platform’s profitability is also increased by using V2V charging in areas lacking fixed CI.展开更多
Improper lane-changing behaviours may result in breakdown of traffic flow and the occurrence of various types of collisions.This study investigates lane-changing behaviours of multiple vehicles and the stimulative eff...Improper lane-changing behaviours may result in breakdown of traffic flow and the occurrence of various types of collisions.This study investigates lane-changing behaviours of multiple vehicles and the stimulative effect on following drivers in a consecutive lanechanging scenario.The microscopic trajectory data from the HighD dataset are used for driving behaviour analysis.Two discretionary lane-changing vehicle groups constitute a consecutive lane-changing scenario,and not only distance-and speed-related factors but also driving behaviours are taken into account to examine the impacts on the utility of following lane-changing vehicles.A random parameters logit model is developed to capture the driver’s psychological heterogeneity in the consecutive lane-changing situation.Furthermore,a lane-changing utility prediction model is established based on three supervised learning algorithms to detect the improper lane-changing decision.Results indicate that 1)the consecutive lane-changing behaviours have a significant negative effect on the following lane-changing vehicles after lane change;2)the stimulative effect exists in a consecutive lane-change situation and its influence is heterogeneous due to different psychological activities of drivers;and 3)the utility prediction model can be used to detect an improper lane-changing decision.展开更多
基金funded by the National Natural Science Foundation of China(Grant No.72201281)the Natural Science Foundation of Hunan Province,China(Grant No.2023JJ40781).
文摘A novel mobile charging service that utilizes vehicle-to-vehicle(V2V)charging technology has recently been proposed as a supplement to fixed charging infrastructure(CI),enabling electric vehicles(EVs)to exchange electricity.This study formulates a vehicle routing problem(VRP)of vehicle-to-vehicle(V2V)charging,optimizing the routing of discharging vehicles(DVs)to service recharging vehicles(RVs)while taking into account their willingness to join the V2V charging platform.A mixed integer linear programming(MILP)model is established to optimize the VRP-V2V(i.e.the VRP of V2V charging),which is known to be NP-hard.To solve large-scale instances for real-world applications,we propose an adaptive large neighbourhood search(ALNS)algorithm,which,when combined with the structure of the VRP-V2V problem,utilizes four local search procedures to enhance solution quality following destroy-and-repair operators.Results indicate that the proposed ALNS algorithm outperforms the optimization solver CPLEX in small-scale instances,and can solve large-scale instances that are unfeasible using the CPLEX solver.In a numerical analysis of Changsha’s large-scale network,we demonstrate that the V2V platform can save an average of 33.1%on the charging cost of RVs,hence raising customer satisfaction with charging services and reducing range anxiety.The platform’s profitability is also increased by using V2V charging in areas lacking fixed CI.
基金sponsored by the National Natural Science Foundation of China (Grant No.71901223)the Natural Science Foundation of Hunan Province (Grant No.2021JJ40746)the Postgraduate Research and Innovation Project of Central South University (Grant No.1053320216523).
文摘Improper lane-changing behaviours may result in breakdown of traffic flow and the occurrence of various types of collisions.This study investigates lane-changing behaviours of multiple vehicles and the stimulative effect on following drivers in a consecutive lanechanging scenario.The microscopic trajectory data from the HighD dataset are used for driving behaviour analysis.Two discretionary lane-changing vehicle groups constitute a consecutive lane-changing scenario,and not only distance-and speed-related factors but also driving behaviours are taken into account to examine the impacts on the utility of following lane-changing vehicles.A random parameters logit model is developed to capture the driver’s psychological heterogeneity in the consecutive lane-changing situation.Furthermore,a lane-changing utility prediction model is established based on three supervised learning algorithms to detect the improper lane-changing decision.Results indicate that 1)the consecutive lane-changing behaviours have a significant negative effect on the following lane-changing vehicles after lane change;2)the stimulative effect exists in a consecutive lane-change situation and its influence is heterogeneous due to different psychological activities of drivers;and 3)the utility prediction model can be used to detect an improper lane-changing decision.
