Integration of Information and Optimization Models for Routing in City Logistics (Paperback, 2012 ed.)

As urban congestion continues to be an ever increasing problem, routing in these settings has become an important area of operations research. This monograph provides cutting-edge research, utilizing the recent advances in technology, to quantify the value of dynamic, time-dependent information for advanced vehicle routing in city logistics. The methodology of traffic data collection is enhanced by GPS based data collection, resulting in a comprehensive number of travel time records. Data Mining is also applied to derive dynamic information models as required by time-dependent optimization. Finally, well-known approaches of vehicle routing are adapted in order to handle dynamic information models. This book interweaves the usually distinct areas of traffic data collection, information retrieval and time-dependent optimization by an integrated methodological approach, which refers to synergies of Data Mining and Operations Research techniques by example of city logistics applications. These procedures will help improve the reliability of logistics services in congested urban areas.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	International Series in Operations Research & Management Science, 177
Release date:	June 2014
First published:	2012
Authors:	Jan Ehmke
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Paperback
Pages:	198
Edition:	2012 ed.
ISBN-13:	978-1-4899-9858-3
Categories:	Books > Earth & environment > Regional & area planning > Transport planning & policy > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Business & Economics > Industry & industrial studies > Transport industries > Road transport industries > Road transport & haulage trades
LSN:	1-4899-9858-6
Barcode:	9781489998583

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