Vehicle index estimation for signalized intersections using sample travel times
We introduce in this paper the concept of vehicle indices in a cycle at a signalized
intersection which are the positions of vehicles in the departure process of the cycle. We …
intersection which are the positions of vehicles in the departure process of the cycle. We …
Dynamic data-driven local traffic state estimation and prediction
Traffic state prediction is a key problem with considerable implications in modern traffic
management. Traffic flow theory has provided significant resources, including models based …
management. Traffic flow theory has provided significant resources, including models based …
Estimating link flows in road networks with synthetic trajectory data generation: Inverse reinforcement learning approach
While traffic volume data from loop detectors have been the common data source for link
flow estimation, the detectors only cover a subset of links. These days, other data sources …
flow estimation, the detectors only cover a subset of links. These days, other data sources …
A distributed framework for network-wide traffic monitoring and platoon information aggregation using V2V communications
This study explores an innovative framework for distributed traffic monitoring and information
aggregation using vehicle-to-vehicle (V2V) communications alone. We envision the …
aggregation using vehicle-to-vehicle (V2V) communications alone. We envision the …
A microstate spatial-inference model for network-traffic estimation
AJ Fowe, Y Chan - Transportation Research Part C: Emerging …, 2013 - Elsevier
Abstract In an Advanced Traveler Information System (ATIS), sensors are often used to
monitor and obtain traffic information on a real-time basis. Knowing that traffic sensors cover …
monitor and obtain traffic information on a real-time basis. Knowing that traffic sensors cover …
[HTML][HTML] Traffic state estimation from vehicle trajectories with anisotropic Gaussian processes
Accurately monitoring road traffic state is crucial for various applications, including travel
time prediction, traffic control, and traffic safety. However, the lack of sensors often results in …
time prediction, traffic control, and traffic safety. However, the lack of sensors often results in …
Probe vehicle-based traffic state estimation method with spacing information and conservation law
T Seo, T Kusakabe - Transportation Research Part C: Emerging …, 2015 - Elsevier
This paper proposes a method of estimating a traffic state based on probe vehicle data that
contain spacing and position of probe vehicles. The probe vehicles were assumed to …
contain spacing and position of probe vehicles. The probe vehicles were assumed to …
Estimating traffic flow in large road networks based on multi-source traffic data
Traffic flow data collected by traffic sensing devices is crucially important for transportation
planning and transportation management. However, traffic sensing devices are typically …
planning and transportation management. However, traffic sensing devices are typically …
RoutesFormer: A sequence-based route choice Transformer for efficient path inference from sparse trajectories
Sensor and machine learning technologies have improved the perception of traffic systems
by providing detailed data about individual vehicle trajectories. Combining data from …
by providing detailed data about individual vehicle trajectories. Combining data from …
Estimating traffic volumes for signalized intersections using connected vehicle data
Recently connected vehicle (CV) technology has received significant attention thanks to
active pilot deployments supported by the US Department of Transportation (USDOT). At …
active pilot deployments supported by the US Department of Transportation (USDOT). At …