This paper aims at an agent-based simulation of the interplay between two types of agents within a transport system: travelers, and traffic signals. For the simulation of this interplay, a computationally efficient traffic model is needed. It is thus shown how queue models can be used to model traffic flow and spill-back at signalized intersections. c © 2011 Published by Elsevier Ltd. Selection...

New ideas are explored for managing multimodal traffic on isolated approaches to signalized intersections. Strategies are proposed that both: segregate distinct modes along the approach, and more effectively resolve the disruptive capacity-reducing conflicts that arise between throughmoving and turning traffic traveling in adjacent lanes. The proposed schemes produce capacities that consistentl...

In this paper, we provide a hierarchical coordination framework for connected and automated vehicles (CAVs) at two adjacent intersections. This consists of an upper-level scheduling problem low-level optimal control problem. By partitioning the area around intersections into different zones, formulate each individual CAV aimed minimizing its total travel time. For CAV, solution designates arriv...

The development of a quantitative intersection aggressiveness propensity index (API) is described in this paper. The index is intended to capture the overall propensity for aggressive driving to be experienced at a given signalized intersection. The index is a latent quantity that can be estimated from observed environmental, situational and driving behavior variables using structural equations...

Abstract: Traffic congestion is an issue in every major city. Many approaches have been tried. In this paper, we propose to model signalized intersections as finite controlled Markov chains. The intersection represents a noncooperative game where each player try to minimize its queue, so ǫ−Nash’s equilibrium is the solution. This paper is focused on the traffic light control problem for urban t...