Traveler Information System to Optimized Journey Using Multi Agent in a Co-Modal Frame Work

Abstract

Traveller information systems play a significant role in most travellers' daily trips. These systems assist travellers in choosing the best routes to reach their destinations and possibly select suitable departure times and modes for their trips. we present an advanced traveller information system (ATIS) for public and private transportation, including vehicle sharing and pooling services. The ATIS uses an agent based architecture and multi-objective optimization to answer trip planning requests from multiple users in a co-modal setting, considering vehicle preferences and conflicting criteria. At each set of user’s requests, the transportation network is represented by a co-modal graph that allows decomposing the trip planning problem into smaller tasks: the shortest routes between the network nodes are determined and then combined to obtain possible itineraries. Using multi-objective optimization, the set of user vehicle-route combinations is determined according to the user’s preferences, and all possible route agents’ coalitions are ranked.