Integration of information and optimization models for routing in city logistics /
<p>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 inform...
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Boston, MA
Springer US
2012.
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| Series: | International Series in Operations Research & Management Science
177 |
| Subjects: | |
| Online Access: | Click here to view the full text content |
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| Summary: | <p>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.</p><p>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.</p> |
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| Physical Description: | 1 online resource (XIV, 197 pages) 76 illustration, 17 illustration in colour, digital. |
| ISBN: | 9781461436287 |
| ISSN: | 0884-8289 |