Isam A. Kaysi

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The processing of vehicles at unsignalized intersections is a complex and highly interactive process, whereby each driver makes individual decisions about when, where, and how to complete the required maneuver, subject to his perceptions of distances, velocities, and own car's performance. Typically, the performance of priority-unsignalized intersections(More)
This paper develops a hybrid choice-latent variable model combined with a Hidden Markov model in order to analyze the causes of aggressive driving and forecast its manifestations accordingly. The model is grounded in the state-trait anger theory; it treats trait driving anger as a latent variable that is expressed as a function of individual(More)
Aggressive driving is typically stimulated by impatience, frustration, or anger and manifests itself through unsafe driving behaviors such as running red lights, traffic weaving, or tailgating. Studying aggressive driving behavior is important since such behavior has been shown to be a major cause of traffic accidents and quantifying it and its determinants(More)
The objective of this paper is to assess the potential of intelligent transportation systems (ITS) in alleviating traffic congestion in a developing congested city and to analyze implications related to vehicle-induced emissions. The Greater Beirut Area road network is used as the test bed for evaluation of specific strategies for incident management, which(More)
This paper presents the design, analysis and results of a driving simulator experiment conducted to study the interaction between drivers and pedestrians in a mixed-street environment. Ninety-six students of the American University of Beirut (AUB) participated in the experiment that took place in the Transportation and Infrastructure Laboratory of AUB. The(More)
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