Modelling Dynamic Vehicle Routing and Scheduling with Real Time Information on Travel Times

Author(s):  
Eiichi Taniguchi ◽  
Tadashi Yamada ◽  
Muneo Tamaishi
2003 ◽  
Vol 1857 (1) ◽  
pp. 102-108 ◽  
Author(s):  
Ta-Yin Hu ◽  
Tsai-Yun Liao ◽  
Ying-Chih Lu

Recent advances in commercial vehicle operations (CVO), especially in communication and information technologies, allow the study of dynamic vehicle routing problems under new and updated information, such as traffic conditions and new customers. Two major operational benefits of CVO include ( a) dynamically assigning vehicles to time-sensitive demands, and ( b) efficiently rerouting vehicles according to current traffic conditions. In this research, stochastic vehicle routing problems (SVRP) are considered and extended to incorporate real-time information for dynamic vehicle routing problems. The SVRP model is formulated by a chance-constrained model and is solved by CPLEX with branch-and-bound techniques. Numerical experiments are conducted in a Taichung city network to investigate dynamic vehicle routing strategies under real-time information supply strategies and to assess the effectiveness of such strategies in a dynamic perspective.


2011 ◽  
Vol 38 (7) ◽  
pp. 1086-1090 ◽  
Author(s):  
Sandro Lorini ◽  
Jean-Yves Potvin ◽  
Nicolas Zufferey

2000 ◽  
Vol 33 (9) ◽  
pp. 33-38 ◽  
Author(s):  
Eiichi Taniguchi ◽  
Tadashi Yamada ◽  
Yasushi Kakimoto

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