Urban traffic signal control with connected and automated vehicles: A survey
Inefficient traffic control is pervasive in modern urban areas, which would exaggerate traffic
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …
A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing
Multimodal data fusion (MMDF) is the process of combining disparate data streams (of
different dimensionality, resolution, type, etc.) to generate information in a form that is more …
different dimensionality, resolution, type, etc.) to generate information in a form that is more …
Connected vehicle as a mobile sensor for real time queue length at signalized intersections
With the development of intelligent transportation system (ITS) and vehicle to X (V2X), the
connected vehicle is capable of sensing a great deal of useful traffic information, such as …
connected vehicle is capable of sensing a great deal of useful traffic information, such as …
Effects of crash warning systems on rear-end crash avoidance behavior under fog conditions
Reduced visibility conditions increase both the probability of rear-end crash occurrences
and their severity. Crash warning systems that employ data from connected vehicles have …
and their severity. Crash warning systems that employ data from connected vehicles have …
Integrating IoT with LQR-PID controller for online surveillance and control of flow and pressure in fluid transportation system
In the modern upgradation era, monitoring and control system is essential to ensure the
smooth operation of the long-distance pipeline in the fluid transportation system. Now-a …
smooth operation of the long-distance pipeline in the fluid transportation system. Now-a …
Various methods for queue length and traffic volume estimation using probe vehicle trajectories
The rapid development of connected vehicle technology and the emergence of ride-hailing
services have enabled the collection of a tremendous amount of probe vehicle trajectory …
services have enabled the collection of a tremendous amount of probe vehicle trajectory …
Utilizing bluetooth and adaptive signal control data for real-time safety analysis on urban arterials
Real-time safety analysis has been widely adopted to reveal the relationship between real-
time traffic characteristics and crash occurrence, and these results could be applied to …
time traffic characteristics and crash occurrence, and these results could be applied to …
Real-time queue length estimation for signalized intersections using vehicle trajectory data
Queue length is one of the most important performance measures for signalized
intersections. Many methods for queue length estimation based on various data sources …
intersections. Many methods for queue length estimation based on various data sources …
High time-resolution queue profile estimation at signalized intersections based on extended Kalman filtering
The dynamic spatiotemporal characteristics of queues at urban intersections are crucial to
traffic operation tasks such as signal performance measure and signal optimization. This …
traffic operation tasks such as signal performance measure and signal optimization. This …
Fuzing license plate recognition data and vehicle trajectory data for lane-based queue length estimation at signalized intersections
Queue length is one of the most important performance measures for signalized
intersections. With recent advancements in connected vehicles and intelligent mobility …
intersections. With recent advancements in connected vehicles and intelligent mobility …