Intelligent transportation system based dynamic vehicle routing and scheduling with variable travel times

Vehicle routing and scheduling with time-varying data: A case study

“…Examples include Ichoua et al (2006) and Taniguchi and Shimamoto (2004). When the customer demands are for specific orders that need to be loaded at the depot, as occurs in our case study, then although these approaches may allow routes to be improved after a vehicle has left a depot, planning which customer is to be served on each vehicle route still needs to be determined when the vehicles are loaded based on expected travel times.…”

Simulation and optimisation of intermodal barge transport networks

“…The authors apply queueing theory to model traffic congestion and conclude that total travel times can be improved significantly when explicitly taking into account congestion during optimization. Variable travel times are studied in the context of urban freight transport by Taniguchi and Shimamoto (2004). Genetic algorithms are adopted for identifying near-optimal solutions and dynamic traffic simulation is used to update travel times.…”

The role of ITS in evacuation route optimization for emergency vehicles

“…In [27] an emergency management information system is reported; this system allows the data communication between the control centre and the operators involved in the emergency. Also in routing problem the data survey in real time play a fundamental role, in freight transport in [28] and [29] real time information on link travel time are provided by a probe vehicle equipped with a personal digital assistant and GPS antenna and used to improve vehicle routes. Considering rescue vehicles, the vehicle management is indicated with Computer Aided Dispatching (CAD).…”