This paper puts together an analytical formulation to compute optimal tolls for multi-class traffic. The formulation is comprised of two major modules. The first one is an optimization component aimed at computing optimal tolls assuming a Stackelberg game in which the toll agency sets the tolls,...

Probe vehicles are increasingly receiving more attention as an alternative means of collecting real-time traffic data needed for system optimization. This paper focuses on real-time estimation of queue lengths from the location information of probe vehicles in a queue at an isolated and...

This paper describes the key findings from a major research project aimed at assessing the impacts of the Port Authority of New York and New Jersey's time of day pricing initiative on the behavior of commercial carriers. The paper, believed by the authors to be the first comprehensive study on...

In the US, there is a long tradition of toll roads, beginning with the Lancaster Turnpike that was built at the end of the 18th century connecting Philadelphia and Lancaster. There are currently more than 300 toll facilities in the US, which is probably the largest number of toll facilities in...

This paper proposes a theoretical methodology and practical data collection approach for modeling enroute driver behavioral choice under Advanced Traveler Information Systems (ATIS). The theoretical framework is based on conflict assessment and resolution theories popularized in psychology and...

This paper discusses preliminary results from an in-laboratory experiment to study enroute driver behavior under ATIS. The case study was conducted using FASTCARS (Freeway and Arterial Street Traffic Conflict Arousal and Resolution Simulator), an interactive microcomputer-based travel choice...

It has been contended that in-laboratory experimentation with interactive microcomputer simulation can substitute for the lack of real-world applications and provide a useful approach to data collection and driver behavior analysis. With the rapid development but limited real-world deployment of...

This paper explores the use of cooperative, distributed multi-agent systems to improve dynamic routing and traffic management. On the supply-side, real-time control over the transportation network is accomplished through an agent-based distributed hierarchy of system operators. Allocation of...