Autonomous Vehicle Logistic System: Joint Routing and Charging Strategy
The smart city embraces gradual adoption of autonomous vehicles (AVs) into the intelligent transportation system. Contributed by their full-fledged controllability, AVs can respond to instantaneous situations with high efficiency and flexibility. In this paper, the authors propose a novel AV logistic system (AVLS) to accommodate logistic demands for smart cities. They focus on determining the optimal routes for the governed AVs in consideration of various requirements imposed by the vehicles, logistic requests, renewable generations, and the underlying transportation system. By coordinating their routes and charging schedules, the system can effectively utilize the renewable energy generated by distributed generations. The authors formulate the joint routing and charging problem in the form of quadratic-constrained mixed integer linear program. To improve its scalability, they develop a distributed solution method via dual decomposition. The authors conduct extensive simulations to evaluate the performance of proposed system and solution methods. The results show that AVLS can effectively utilize excessive renewable energy while accomplishing all logistic requests. The distributed solution can develop near-optimal solutions with compelling improvement in computational speed.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
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Supplemental Notes:
- Copyright © 2018, IEEE.
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Authors:
- Yu, James J Q
- Lam, Albert Y S
- Publication Date: 2018-7
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 2175-2187
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Serial:
- IEEE Transactions on Intelligent Transportation Systems
- Volume: 19
- Issue Number: 7
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1524-9050
- Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979
Subject/Index Terms
- TRT Terms: Electric vehicle charging; Electric vehicles; Intelligent vehicles; Logistics; Network analysis (Planning); Optimization; Routing; Traffic models
- Uncontrolled Terms: Smart cities
- Subject Areas: Energy; Freight Transportation; Highways; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01676884
- Record Type: Publication
- Files: TLIB, TRIS
- Created Date: Jul 27 2018 1:24PM