Integration of Information and Optimization Models for Routing in City Logistics

Author: Jan Ehmke
Edition: 2012
Binding: Kindle Edition
ISBN: B00A9YGHZE

Integration of Information and Optimization Models for Routing in City Logistics: 177 (International Series in Operations Research & Management Science)

As urban congestion continues to be an ever increasing problem, routing in these settings has become an important area of operations research. Get Integration of Information and Optimization Models for Routing in City Logistics computer books for free.
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 Check Integration of Information and Optimization Models for Routing in City Logistics our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

Integration of Information and Optimization Models for Routing in City Logistics Free

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 his 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

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