IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508
Special Section on Concurrent/Real-time and Hybrid Systems: Theory and Applications
Routing Autonomous Vehicles in the Improving Initial Task Assignment and Avoiding Deadlock Method
Yusuke MORIHIROToshiyuki MIYAMOTOSadatoshi KUMAGAI
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2008 Volume E91.A Issue 11 Pages 3229-3236

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Abstract

This paper discusses an on-line Tasks Assignment and Routing Problem (TARP) for Autonomous Transportation Systems (ATSs) in manufacturing systems. The TARP is a constrained version of the Pickup and Delivery Problem with Time Windows (PDPTW). In our former study, a cooperative algorithm, called the triple loop method, with autonomous distributed agents has been proposed. The Improving initial Task Assignment and Avoiding Deadlock method (ITAAD) is a faster algorithm than the triple loop method. In this paper, we propose a new vehicle routing method for the ITAAD. Results of computational experiments show effectiveness of the proposed routing method.

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© 2008 The Institute of Electronics, Information and Communication Engineers
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