PRINCIPLED NEGOTIATION AND MULTIAGENT TRANSPORTATION MANAGEMENT AND INFORMATION SYSTEMS
Jeffrey L. Adler, Victor J. Blue · 2001
Optimally routing vehicles over time and space is a central theme within real-time traffic management. This paper explores the application of a distributed artificial intelligence multiagent system that uses principled negotiation to improve dynamic routing and traffic management within roadway networks. On the demand side vehicles of individual drivers are equipped with intelligent route guidance systems capable of seeking and acquiring knowledge and assisting the traveler in developing trip itineraries. Real-time control over the transportation network is accomplished through an agent-based distributed hierarchy of system operators. Traveler information is gathered and disseminated by information service providers. Through pre-trip and en-route principled negotiation between agents, network performance is enhanced from the point of view of both drivers and system operators. The paper also demonstrates how this view of traffic management complements and builds upon the National ITS Architecture