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Location Design of Electrification Road in Transportation Networks for On-Way Charging
Author(s) -
Yue Qiu,
Yong Du,
Shanchuan Yu,
Shengchuan Jiang
Publication year - 2020
Publication title -
journal of advanced transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.577
H-Index - 46
eISSN - 2042-3195
pISSN - 0197-6729
DOI - 10.1155/2020/7096767
Subject(s) - electrification , range (aeronautics) , driving range , transport engineering , constraint (computer aided design) , computer science , electric vehicle , mathematical optimization , battery (electricity) , path (computing) , electricity , automotive engineering , simulation , operations research , engineering , power (physics) , electrical engineering , computer network , mathematics , mechanical engineering , physics , quantum mechanics , aerospace engineering
Electric vehicles tend to be a great mobility option for the potential benefits in energy consumption and emission reduction. On-way charging (OWC) has been recognized to be a promising solution to extend driving range for electric vehicles. Location of the electrification road (ER) is a critical issue for future urban traffic management to accommodate the new mobility option. This paper proposes a mathematical program with equilibrium constraint (MPEC) approach to solve this problem, which minimizes the total travel time with a limited construction budget. To describe the drivers’ routing choice, a path-constrained network equilibrium model is proposed to minimize their travel time and prevent running out of charge. We develop a modified active set algorithm to solve the MPEC model. Numerical experiments are presented to demonstrate the performance of the model and the solution algorithm and analyze the impact of charging efficiency, battery size, and comfortable range.

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