This book presents fundamental concepts and general approaches to City Logistics. City Logistics initiatives are required to solve urban freight transport problems including high levels of traffic congestion, negative environmental impacts, high energy consumption and a shortage of labor. The focus of this work is on modeling City Logistics. Modeling is of crucial importance, since estimates of the impacts generated by City Logistics measures are required for evaluating them. It highlights the formulation of mathematical models of vehicle routing and scheduling with Intelligent Transport Systems (ITS), optimal terminal locations and impact estimation by City Logistics measures. Heuristics techniques such as genetic algorithms, simulated annealing and tabu search are also given to identify approximate optimal solution of these combinatorial optimization problems. Sophisticated logistics systems can now be developed by integrating Global Positioning Systems (GPS) and Geographical Information Systems (GIS) in conjunction with application software. In this context, the book presents a theoretical and practical treatment of modeling City Logistics based on ITS.
Content:
• Front Matter
• Preface
• Table of Contents
1. Introduction
2. Modelling City Logistics
3. City Logistics with ITS
4. Demand and Supply Models
5. Impact Models
6. Vehicle Routing and Scheduling
7. Vehicle Routing and Scheduling with ITS
8. Location of Logistics Terminals
9. Future Perspectives
• References
Index