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SUMMARY Gaining insights into pedestrian flow operations and assessment tools for pedestrian walking speeds and comfort is important in, for instance, planning and geometric design of infrastructural facilities, as well as for management of pedestrian flows under regular and safety-critical circumstances. Pedestrian flow operations are complex, and(More)
The vision of intelligent vehicles traveling in road networks has prompted numerous concepts to control future traffic flow, one of which is the in-vehicle actuation of traffic control signals. The key of this concept is using intelligent vehicles as actuators for traffic control systems, replacing the traditional roadside systems. Under this concept, we(More)
This paper presents a dynamic mixed discrete-continuous choice approach to modeling pedestrian travel and activity choice behavior in public facilities. The approach views revealed behavior as a manifestation of pedestrians' preferences by assuming that pedestrians choose the alternative that maximizes expected (subjective) utility, while taking into(More)
In this paper we explore the idea of dimensionality reduction and approximation of OD demand based on principal component analysis (PCA). First, we show how we can apply PCA to linearly transform the high dimensional OD matrices into the lower dimensional space without significant loss of accuracy. Next, we define a new transformed set of variables (demand(More)
Real-time freeway traffic state estimation plays an important role in Dynamic Traffic Management (DTM) and Advanced Traveler Information Systems (ATIS). One of the model-driven estimation techniques used in practice is based on the Extended Kalman Filter (EKF). It consists of two components: the Predictor forecasts the traffic state over a short period of(More)
Freeway traffic state estimation and prediction are central components in real-time traffic management and information applications. Model-based traffic state estimators consist of a dynamic model for the state variables (e.g., a first- or second-order macroscopic traffic flow model), a set of observation equations relating sensor observations to the system(More)