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

"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"--Provided by publisher Front Matter....Pages i-xiv Introduction....Pages 1-5 Front Matter....Pages 7-7 City Logistics....Pages 9-22 Attended Home Delivery....Pages 23-33 Front Matter....Pages 35-35 Knowledge Discovery and Data Mining....Pages 37-57 Analysis of Floating Car Data....Pages 59-80 Front Matter....Pages 81-81 Provision of Distance Matrices....Pages 83-104 Evaluation of Information Models....Pages 105-116 Front Matter....Pages 117-117 Routing in City Logistics....Pages 119-156 Evaluation of Optimization Models....Pages 157-177 Conclusions and Outlook....Pages 179-182 Back Matter....Pages 183-197