Kaan Ozbay

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This paper describes Rutgers Incident Management System (RIMS) software that is developed to evaluate the benefits of various incident management strategies and technologies. This tool can generate incidents and test various response strategies and technologies. South Jersey highway network is used as a test network due to the available historical incident(More)
In this paper, the development of a microscopic simulation model of the New Jersey Turnpike (NJTPK) using Paramics microscopic simulation software is presented. The model is validated/calibrated using the detailed vehicle-by-vehicle toll data at each toll plaza in the NJTPK. The dataset includes the entry toll plaza, exit toll plaza, entry and exit times,(More)
The impacts of disasters have been recently attracting increasing attention of researchers and policy makers. Nevertheless, there has been little consensus about how an efficient inventory management model can be developed for post-disaster conditions. Victims of a disaster are generally gathered into shelters during and after a severe disaster to ensure(More)
"The contents of this report reflect the views of the author(s) who is (are) responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the New Jersey Department of Transportation or the Federal Highway Administration. This report does not constitute a standard,(More)
This paper proposes mathematical programming models with probabilistic constraints in order to address incident response and resource allocation problems for traffic incident management. In incident response problems, we introduce the concept of quality of service during a potential incident to give the operator the flexibility to determine the optimal(More)
The contents of this report reflect the views of the authors who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the New Jersey Department of Transportation or the Federal Highway Administration. This report does not constitute a standard, specification,(More)
Stochastic optimization has become one of the important modeling approaches in the transportation network analysis. For example, for traffic assignment problems based on stochastic simulation, it is necessary to use a mathematical algorithm that iteratively seeks out the optimal and/or suboptimal solution because an analytical (closed-form) objective(More)
1 Prevention of secondary crashes is one of the priorities in traffic incident management. However, limited 2 information on secondary crashes has largely impeded the selection of appropriate countermeasures. The 3 primary goal of this paper is to improve the understanding of secondary crashes, which is achieved by two 4 major steps. First, an analysis(More)
This paper uses Stochastic Learning Automata (SLA) theory to model the learning behavior of commuters within the context of the combined departure time route choice (CDTRC) problem. The SLA model uses a reinforcement scheme to model the learning behavior of drivers. In this paper, a multi-action Linear Reward-Penalty reinforcement scheme is introduced to(More)