Soft Computing and Signal Processing pp 263-270 | Cite as
Fleet Management and Vehicle Routing in Real Time Using Parallel Computing Algorithms
Conference paper
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Abstract
Algorithms which take uncertainty into account make better systems for fleet management and lead to greater efficiency. These algorithms are faster and can manage real-time traffic and even compute the location and status of vehicles with miscellaneous requests from users. Parallel computing technologies enable us to implement fuzzy-based algorithms which route the traffic in a much more efficient mechanism. This also improves the overall system of user request management by using meta-heuristics.
Keywords
Parallel computing Fleet management Fuzzy logic Meta-heuristics RoutingReferences
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