2. Literature Review
1. Vehicle Routing Problem. Vehicle assignment and routing problems have been studied for several decades. Most traditional methodologies for this class of problems have been proposed based on adaptations of static algorithms and developed under static travel time, but they less consider dynamic traffic flow conditions
2. Optimal Path Problem in STD Networks. In realworld transportation networks, there exists more than one path connecting the current customer-node with the next unserved one, so taking which path to continue the delivery should be decided based on certain optimality criterions.That is to say, optimal path finding problem between two customer nodes is the fundamental subproblem for VRP and should be addressed first here to cope with the STD nature of travel times. If the uncertainty of link travel times can be captured to determine the optimal path efficiently,
3. Summary of Past Literature. Although routing models in STD networks are gaining greater attention in the literature and industry, a general modeling framework and efficient solution algorithm which is applicable to large-scale real-world networks are still lacking. Stochastic and timedependent travel times are more extensively operated on optimal path analysis between two service nodes when executing VRP delivery. So we refer to the robust approach here and apply it to solve the subproblem of STDVRPTW. The path, which minimizes the worst-case travel times over all the candidate paths, is defined as the optimal path connecting any two customer nodes.
2. Literature Review1. Vehicle Routing Problem. Vehicle assignment and routing problems have been studied for several decades. Most traditional methodologies for this class of problems have been proposed based on adaptations of static algorithms and developed under static travel time, but they less consider dynamic traffic flow conditions2. Optimal Path Problem in STD Networks. In realworld transportation networks, there exists more than one path connecting the current customer-node with the next unserved one, so taking which path to continue the delivery should be decided based on certain optimality criterions.That is to say, optimal path finding problem between two customer nodes is the fundamental subproblem for VRP and should be addressed first here to cope with the STD nature of travel times. If the uncertainty of link travel times can be captured to determine the optimal path efficiently,3. Summary of Past Literature. Although routing models in STD networks are gaining greater attention in the literature and industry, a general modeling framework and efficient solution algorithm which is applicable to large-scale real-world networks are still lacking. Stochastic and timedependent travel times are more extensively operated on optimal path analysis between two service nodes when executing VRP delivery. So we refer to the robust approach here and apply it to solve the subproblem of STDVRPTW. The path, which minimizes the worst-case travel times over all the candidate paths, is defined as the optimal path connecting any two customer nodes.
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