NDLI: A data mining and optimization-based real-time mobile intelligent routing system for city logistics

Content Provider	IEEE Xplore Digital Library
Author	Canhong Lin King-lun Choy Pang, G. Ng, M.T.W.
Copyright Year	2013
Description	Author affiliation: Dept. of Ind. & Syst. Eng., Hong Kong Polytech. Univ., Hong Kong, China (Canhong Lin; King-lun Choy; Ng, M.T.W.) \|\| Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China (Pang, G.)
Abstract	City logistics is facing the challenging problem of providing a quick-response and on-time delivery service in congested urban areas with frequent traffic jams. The dynamically changing traffic conditions make the predetermined best transportation plans suboptimal and consequently cause increased logistics cost and even greater air pollution. To help the driver determine time-optimal routing solutions in order to avoid congestion according to the real-time traffic flow, a Real-time Mobile Intelligent Routing System is designed and deployed on drivers' Smartphones to help in routing decision making. Data mining techniques are employed to discover the routing patterns from the past cases of routing plans so as to generate case-based routing plans for the drivers. A metaheuristic is used to undertake the optimization of a real-time optimal routing plan based on real-time traffic information. A case study and computational experiments demonstrate the effectiveness of the proposed methods in significantly reducing the traveling time.
Starting Page	156
Ending Page	161
File Size	1439834
Page Count	6
File Format	PDF
ISBN	9781479909087
e-ISBN	9781479909100
DOI	10.1109/ICIInfS.2013.6731973
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-17
Publisher Place	Sri Lanka
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	optimization Routing Real-time systems Data mining real-time vehicle routing Variable Neighborhood Search Optimization Intelligent Transportation System Vehicles Logistics
Content Type	Text
Resource Type	Article

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