Increasing congestion on freeways and problems associated with existing detectors have
spawned an interest in new vehicle detection technologies such as video image processing. …

For the problem of tracking vehicles on freeways using machine vision, existing systems
work well in free-flowing traffic. Traffic engineers, however, are more interested in monitoring …

Recent research has investigated various means of measuring link travel times on freeways.
This search has been motivated in part by the fact that travel time is considered to be more …

The paper presents an algorithm for matching individual vehicles measured at a freeway
detector with the vehicles’ corresponding measurements taken earlier at another detector …

An approach is presented for estimating future travel times on a freeway using flow and
occupancy data from single-loop detectors and historical travel-time information. Linear …

A clear understanding of car following behavior and microscopic relationships is critical for
advancing traffic flow theory. Without empirical microscopic data, plausible but incorrect …

This paper develops an improved algorithm for estimating velocity from single loop detector
data. Unlike preceding works, the algorithm is simple enough that it can be implemented …

Roadway networks span large distances and can be difficult to monitor. Most efforts to
collect roadway usage data either require a large fixed infrastructure or are labor intensive. …

Roadway usage, particularly by large vehicles, is one of the fundamental factors determining
the lifespan of highway infrastructure. Operating agencies typically employ expensive …

Vehicle speed is a key variable for the calibration, validation, and improvement of traffic
emission and air quality models. Lidar technologies have significant potential in vehicle tracking …