Concepts and applications of backup coverage
Management Science
Waiting Strategies for Dynamic Vehicle Routing
Transportation Science
Exploiting Knowledge About Future Demands for Real-Time Vehicle Dispatching
Transportation Science
A multiperiod set covering location model for dynamic redeployment of ambulances
Computers and Operations Research
Waiting Strategies for Anticipating Service Requests from Known Customer Locations
Transportation Science
Survey: The vehicle routing problem: A taxonomic review
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Maximal covering location problem (MCLP) with fuzzy travel times
Expert Systems with Applications: An International Journal
A Decentralized Approach for Anticipatory Vehicle Routing Using Delegate Multiagent Systems
IEEE Transactions on Intelligent Transportation Systems
| Hi-index | 12.05 |
We have developed a decision support application for the Dutch Aviation Police and Air Support unit for routing their helicopters in anticipation of unknown future incidents. These incidents are not known in advance, yet do require a swift response. A response might include the dispatch of a police helicopter to support the police on the ground. If a helicopter takes too long to arrive at the crime scene, it might be too late to assist. Hence, helicopters have to be proximate when an incident happens to increase the likelihood of being able to support the police on the ground in apprehending suspects. We propose the use of a forecasting technique, followed by a routing heuristic to maximize the number of incidents where a helicopter provides a successful assist. We have implemented these techniques in a decision support application in collaboration with the Dutch Aviation Police and Air Support. Using numerical experiments, we show that our application has the potential to improve the success rate with a factor nine. The Dutch Air Support and Aviation Police are now using the application.