0000034031 00000 n Proceedings of the twenty-eighth AAAI conference on artificial intelligence, A corridor-centric approach to planning electric vehicle charging infrastructure, Locating passenger vehicle refueling stations, A flexible reformulation of the refueling station location problem, Simulation–optimization model for location of a public electric vehicle charging infrastructure, Charging infrastructure planning for promoting battery electric vehicles: an activity-based approach using multiday travel data, Predicting the market potential of plug-in electric vehicles using multiday GPS data, Fuel economy, cost, and greenhouse gas results for alternative fuel vehicles in 2011, Battery electric vehicle driving and charging behavior observed early in the EV project, SAE electric vehicle and plug in hybrid electric vehicle conductive coupler, Plug-in electric vehicle infrastructure: a foundation for electrified transportation, Proceedings of the MIT transportation electrification symposium, Stochastic modeling of battery electric vehicle driver behavior: impact of charging infrastructure deployment on the feasibility of battery electric vehicles, Willingness to pay for electric vehicles and their attributes, Optimal deployment of public charging stations for plug-in hybrid electric vehicles, Stochastic traffic assignment, Lagrangian dual, and unconstrained convex optimization, Routing a vehicle with the limitation of fuel, Path-constrained traffic assignment: model and algorithm, Routing with time windows by column generation, Optimal routing under capacity and distance restrictions, The electric vehicle shortest-walk problem with battery exchanges, Efficient energy-optimal routing for electric vehicles, Proceedings of the twenty-fifth AAAI conference on artificial intelligence, Proceedings of the 2011 industrial engineering research conference, Abstract routing models and abstractions in the context of vehicle routing, Proceedings of the 24th international conference on artificial intelligence, Optimal route planning for electric vehicles in large networks, Cruising with a battery-powered vehicle and not getting stranded, New logistical issues in using electric vehicle fleets with battery exchange infrastructure, A general bilevel linear programming formulation of the network design problem, Bilevel programming for the continuous transport network design problem, Global optimization methods for the discrete network design problem, Speed-based toll design for cordon-based congestion pricing scheme, Variational inequality model for cordon-based congestion pricing under side constrained stochastic user equilibrium conditions, Optimal distance tolls under congestion pricing and continuously distributed value of time, Optimal joint distance and time toll for cordon-based congestion pricing, Toll pricing framework under logit-based stochastic user equilibrium constraints, Asymmetric stochastic user equilibrium problem with elastic demand and link capacity constraints, Robust optimization model of bus transit network design with stochastic travel time, Optimal location of wireless charging facilities for electric vehicles: flow-capturing location model with stochastic user equilibrium, Bus stop-skipping scheme with random travel time, Distributed computing approaches for large-scale probit-based stochastic user equilibrium problems, Prediction model of bus arrival time at signalized intersection using GPS data, An extended car-following model with consideration of the electric vehicle’s driving range, Calibration of platoon dispersion parameter considering the impact of the number of lanes, A note on hotspot identification for urban expressways, Potential crash risks of expressway on-ramps and off-ramps: a case study in Beijing, China, Assessment of expressway traffic safety using Gaussian mixture model based on time to collision, Long-distance-commuter (LDC) lane: a new concept for freeway traffic management, SAGE Publications Ltd, unless otherwise noted. endobj Electric vehicles are believed to be an effective solution for reducing greenhouse gas emissions. Markel33 summarized the components of the PEV infrastructure, challenges and opportunities related to design and deployment of the infrastructure and potential benefits. With respect to PEV market potential, the car of the near future is the hybrid gasoline–EV, and it will likely become the dominant vehicle platform by the year 2020.4 Global positioning system (GPS) data of the households were used to illustrate how PEVs can match different household (single-vehicle or multiple-vehicle) needs. Thus, there is an urgent need to develop optimal charging station location model on urban freeways, especially for inter-city trips. %PDF-1.7 %���� AC Level 1, AC Level 2, DC fast charging and battery swapping) but without any consideration of multi-class users. Lawler39 sketched a polynomial algorithm for its solution, which makes EV SPP polynomially solvable. These aspects are mostly concerned for the development and acceptance of EVs’ market. The structure of this article and main focus are described as follows: In section ‘Charging station design and location studies’, the studies on battery charging station and battery-swapping station (BSS) location, as well as their design, are briefly introduced. United Nations Environment Programme. CHAdeMO is the most common one used by the Nissan Leaf and Mitsubishi vehicles. studied the network design problem with relays (NDPR) on an undirected graph, which generalized the SPP with relays and the weight-constrained SPP. Plug-in hybrid electric vehicle (PHEV) is one of the AFVs which can reduce GHG emissions.2 The hybrid gasoline–EV is greatly promising in future since it can reduce gasoline consumption and GHG emissions from 30% to 50% without the need of changing the vehicle class.4 However, a more widespread use of EVs is still hindered by the limited battery capacity, which allows cruising ranges between 150 and 200 km.5 In addition, the chicken and egg problem6– who will build and buy the AFVs if a refuelling infrastructure is not in place and who will build the refuelling infrastructure before the AFVs are built – remains the most intractable barrier. Dong et al.28 studied EV charging station location problems and analysed the impact of public charging station deployment on increasing EVs’ travel miles. Sensitivity analysis for stochastic user equilibrium traffic assignment with constraints, Electric vehicle energy predictive optimal control by V2I communication. startxref Besides, the corresponding charging system (e.g. endobj The model can obtain an optimal solution much faster than the previous set cover version and it can be solved in the maximum cover form. Cost comparisons between the PHEV and conventional gasoline vehicle were conducted and the annual savings were given.29 The reduction that a PHEV provides in both transportation costs and GHG emissions with respect to a comparable conventional vehicle was also discussed.30 Smart and Schey31 analysed the Nissan Leaf, which is a BEV, and concluded that the drivers drove 6.9 miles per trip, 30.3 miles per day on average and the average number of charging times was 1.05 per day, as well as 82% of charging events were conducted at home. 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