A Metaheuristic for the Pickup and Delivery Problem with Time Windows
ICTAI '01 Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence
An adaptive solution to dynamic transport optimization
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Multi-agent Crisis Management in Transport Domain
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
Agent-based system with learning capabilities for transport problems
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
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The realising of transport requests plays an important role for companies regarding cost. For this reason the construction of an optimal and effective transport planning and scheduling, offering the best use of transport means is hugely important. One of the researched transport problems at present is PDPTW. In this work, the PDPTW problem will be extended by adding changeable and uncertain travel times between given locations, which will then be examined and learnt by the dispatching company system. The changeable travel times are the results of traffic jams forming and propagating. The applied multi-agent approach allows us to consider the problem on the level of a whole company and on the local level analysed by a particular vehicle. The other aspects which are taken into consideration are traffic patterns, whose goal it is to facilitate the optimal routes for the given traffic patterns. These patterns contain the information about the dependencies between the traffic state on the particular routes.