Journal ArticleDOI
Optimal deployment of public charging stations for plug-in hybrid electric vehicles
TLDR
In this article, the authors developed an equilibrium modeling framework that captures the interactions among availability of public charging opportunities, prices of electricity, and destination and route choices of plug-in hybrid electric vehicles (PHEVs) at regional transportation and power transmission networks coupled by PHEVs.Abstract:
This paper develops an equilibrium modeling framework that captures the interactions among availability of public charging opportunities, prices of electricity, and destination and route choices of plug-in hybrid electric vehicles (PHEVs) at regional transportation and power transmission networks coupled by PHEVs. The modeling framework is then applied to determine an optimal allocation of a given number of public charging stations among metropolitan areas in the region to maximize social welfare associated with the coupled networks. The allocation model is formulated as a mathematical program with complementarity constraints, and is solved by an active-set algorithm. Numerical examples are presented to demonstrate the models and offer insights on the equilibrium of the coupled transportation and power networks, and optimally allocating resource for public charging infrastructure.read more
Citations
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The Sustainability of Integrating Contactless Occasional Charging in Electric Vehicle Material Handling
TL;DR: In this paper, the authors examined the impact and potential of using contactless occasional recharging for non-road electric vehicles (nrEV) integrated within a manufacturing line, recognising the need to balance the (sometimes competing) demands of delivering reliable and efficient production while respecting environmental and sustainable needs.
Strategic Planning and Design for Electric Bus Systems
Ran Wei,Xiaoyue Cathy Liu +1 more
TL;DR: Important decisions in deploying electric buses and charging stations will include, among others, identifying appropriate driving range (battery specification) for electric buses, allocating electric buses to appropriate transit routes, and determining locations of charging stations and their corresponding capacities that can charge the electric buses in a cost and time-effective way.
Computing spatial charging needs using an agent-based demand model
TL;DR: In this article, the authors present a fine-grained approach for determining the charging needs and allocating the according charging infrastructure using the results of an agent-based traffic demand model.
Multi-population-based differential evolution algorithm for optimization problems
TL;DR: The results suggest that the proposed algorithm is one of effective and promising methods for optimal EV centralized charging.
Impact of Vehicle Automation on Electric Vehicle Charging Infrastructure Siting and Energy Demand
TL;DR: In this paper, the authors present a method to characterize the impact of privately-owned autonomous electric vehicles on electric vehicle charger placement, distribution, utilization, and power demand using Seattle, WA as a case study.
References
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Book
Mathematical Programs with Equilibrium Constraints
TL;DR: Results in the book are expected to have significant impacts in such disciplines as engineering design, economics and game equilibria, and transportation planning, within all of which MPEC has a central role to play in the modelling of many practical problems.
Journal ArticleDOI
Foundations of dynamic traffic assignment : the past, the present and the future
TL;DR: This opening paper will summarize the current understanding of DTA, review the existing literature, make the connection to the approaches presented in this special issue, and attempt to hypothesize about the future.
Journal ArticleDOI
CONOPT—A Large-Scale GRG Code
TL;DR: It is concluded that GRG codes can be very competitive with other codes for large-scale nonlinear programming from both an efficiency and a reliability point of view.
Journal ArticleDOI
Mathematical Programs with Complementarity Constraints: Stationarity, Optimality, and Sensitivity
Holger Scheel,Stefan Scholtes +1 more
TL;DR: Several stationarity concepts, based on a piecewise smooth formulation, are presented and compared and Fiacco-McCormick type second order optimality conditions and an extension of the stability results of Robinson and Kojima are presented.