Traffic instability is an important but undesirable feature of traffic flow. This paper reports our
experimental and empirical studies on traffic flow instability. We have carried out a large …

This paper formulates a simplified traffic smoothing model for guiding movements of
connected automated vehicles on a general one-lane highway segment. Adapted from the …

One effective strategy of cooperative vehicle‐highway systems with connected and
automated vehicles (CAVs) is speed harmonisation, which dynamically adjusts vehicle …

In order to meet the fine demand of different travelers, a multi-dimensional prediction method
of travel time is proposed combining the toll collection data and meteorological data of …

This paper presents the design and results for field tests regarding the environmental
benefits in stop-and-go traffic of an algorithmic green driving strategy based on inter-vehicle …

This paper studies the traffic oscillations under connected environment by connecting it with
vehicles' car-following behaviors. The manual vehicles are calibrated with the intelligent …

Cloud-based video surveillance requires protecting privacy yet allowing cloud to perform
motion detection and tracking. Prior art allows performing surveillance on encrypted videos …

This dissertation proposes a data-driven optimization-based framework to model traffic
dynamics under uncertainty including travel demand, transportation network (ie route …