The connected vehicle is a rapidly emerging paradigm aimed at deploying and developing a
fully connected transportation system that enables data exchange among vehicles …

The network sensor location problem (NSLP) for origin–destination (OD) estimation
identifies the optimal locations for sensors to estimate the vehicular flow of OD pairs in a …

The path flow reconstruction problem is used to determine the minimum set of links that must
be equipped with traffic monitoring devices to identify vehicle paths in a road network. This …

The most important research topic in traffic network modeling for more than a decade has
been the effort to formulate and solve more complex and realistic models, especially to …

This paper presents an effort to develop a virtual testbed for assessing probe vehicle data
generation by IntelliDrive vehicles within a microscopic traffic-simulation environment …

A microsimulation method is presented for evaluating the effectiveness of potential
intelligent transportation system (ITS) strategies under nonrecurrent congestion. The …

This study proposed a real-time inductive loop signature based vehicle reidentification
approach, RTREID-2M, which improved the previously developed RTREID-2 algorithm on …

This study develops a novel estimation method under low-frequency probe data using the
Bayesian approach. Given the challenges in estimating travel time under low-frequency …

This study formulates a hierarchical Bayesian mixture model for estimating travel time
distributions along freeway sections by using small data samples from vehicle probes, which …

The effect of the application of advanced transport information system (ATIS) and road
pricing is studied in a transportation system under non-recurrent congestion. A stochastic …