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Traffic state estimation is important input to traffic information and traffic management systems. A wide variety of traffic state estimation methods exist, either data-driven or model-driven. In this paper a model-driven approach is used: the LWR model solved by the Godunov scheme. The most widely applied method to combine this model with real-time data is the Extended Kalman Filter (EKF). A large...
Demand modeling for a newly built transit system is a major issue for the feasibility study. The complexity for such demand modeling stems from the complicated multi-modal trip making by travelers. This paper proposes to build an innovative transit system PRT in the east port area of Rotterdam to improve the efficiency of the existing public transport services and to enhance the accessibility to this...
Lane flow distribution is one of the factors affecting the capacity of a road section operated by a traffic signal. It is common in practice to assume this distribution independent on the traffic conditions. This paper analyses the interdependency between the dynamics of queues at isolated signalised intersections and the lane-changing behaviour of vehicles. A queuing model, based on Markov Chain...
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