Evaluation Framework for Dynamic Vehicle Routing Strategies Under Real-Time Information

2001 ◽  
Vol 1774 (1) ◽  
pp. 115-122 ◽  
Author(s):  
Ta-Yin Hu
Keyword(s):  
Vehicle Routing ◽  
Real Time ◽  
Evaluation Framework ◽  
Dynamic Vehicle Routing ◽  
Real Time Information ◽  
Time Information

Study of Solution Approach for Dynamic Vehicle Routing Problems with Real-Time Information

2003 ◽  
Vol 1857 (1) ◽  
pp. 102-108 ◽  
Author(s):  
Ta-Yin Hu ◽  
Tsai-Yun Liao ◽  
Ying-Chih Lu
Keyword(s):  
Vehicle Routing ◽  
Real Time ◽  
Information Technologies ◽  
Vehicle Routing Problems ◽  
Dynamic Vehicle Routing ◽  
Routing Problems ◽  
Solution Approach ◽  
Traffic Conditions ◽  
Real Time Information ◽  
Time Information

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.

A Study on Vehicle Routing Problems Considering IoT based Real Time Information

2016 ◽  
Author(s):  
Kangbae Lee ◽  
Doo-hwan Kim ◽  
Hyung Rim Choi ◽  
Byung Kwon Park ◽  
Min Je Cho ◽  
...  
Keyword(s):  
Vehicle Routing ◽  
Real Time ◽  
Vehicle Routing Problems ◽  
Routing Problems ◽  
Real Time Information ◽  
Time Information
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