Paper Info
Title
G-Maco: A Multi-Objective Route Planning Algorithm On Green Wave Effect For Electric Vehicles
Abstract
Electric Vehicles (EVs) is a promising transportation to alleviate traffic congestion and pollution problems and its route planning can save the limited energy. However, designing a reliable route planning strategy to achieve optimal route remains a challenging problem, especially when various objectives of both energy consumption and time cost are taken into consideration. Therefore, based on the traffic signal control technologies in urban areas and an EV energy consumption model, we formulate EV route planning problem as a multi-objective optimization problem and propose a Green wave band-based Multi-objective Ant Colony Optimization (G-MACO) algorithm to solve it. Moreover, relying on the field measurement data, the graphical model of urban road network containing relevant weights is also analyzed. Finally, simulation results show that the proposed algorithm can achieve a trade-off between energy consumption and time cost to realize the multi-objective optimization route planning.
Year
Venue
Field
2018
2018 IEEE 87TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING)
Ant colony optimization algorithms,Route planning,Traffic signal,Computer science,Algorithm,Graphical model,Energy consumption,Optimization problem,Traffic congestion
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Anqi Liu100.34
Changle Li237551.60
Bing Xia322.39
Wenwei Yue413.73
Zhifang Miao512.75