Integration of Information and Optimization Models for Routing in City Logistics

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Ehmke, Jan Fabian (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2012.
Σειρά:International Series in Operations Research & Management Science, 177
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Integration of Information and Optimization Models for Routing in City Logistics  |h [electronic resource] /  |c by Jan Fabian Ehmke. 
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490 1 |a International Series in Operations Research & Management Science,  |x 0884-8289 ;  |v 177 
505 0 |a Introduction -- City Logistics -- Attended Home Delivery -- Knowledge Discovery and Data Mining -- Analysis of Floating Car Data -- Provision of Distance Matrices -- Evaluation of Information Models -- Routing in City Logistics -- Evaluation of Optimization Models -- Conclusions and Outlook. 
520 |a 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. 
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