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Optimising courier routes in central city areas
Institution:1. Department of Infrastructure Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia;2. School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria 3010, Australia;1. Laboratoire d’Economie des Transports, ISH, 14 Av. Berthelot, 69363 Lyon cedex 07, France;2. Ecole Centrale de Lyon, 36 av Guy de Collongue 69134 ECULLY CEcully, France;3. Université de Lyon, CNRS, INSA-Lyon, LIRIS,Bâtiment Blaise Pascal et Jules Verne, Campus de la Doua, 69622 Villeurbanne Cedex, France;1. School of Traffic and Transportation, Beijing Jiaotong University, No. 3 Shangyuancun, Haidian District, Beijing 100044, China;2. National University of Singapore, 21 Lower Kent Ridge Road, Singapore 119077, Singapore;1. Department of International Logistics, Chung-Ang University, Seoul, Republic of Korea;2. School of Civil and Environmental Engineering, Nanyang Technological University, Singapore
Abstract:Determining efficient routes for couriers in central city areas is becoming more challenging due to growing levels of congestion. New technologies allow on-street loading zones to be booked to reduce waiting times and circulation.Couriers when planning deliveries need to consider both driving and walking routes to optimise their activities. A two-layer optimisation model has been developed for determining the best routes for minimising operating and environmental costs. A genetic algorithm is proposed to find (near-)optimal solutions. The output can provide guidance for couriers as well as planners who are involved in determining duration limits at loading zones.
Keywords:Courier route  Multi-objective optimisation  Two-layer optimsation  Genetic algorithm
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