2006Unpublished venueRequires access

Using Transit Vehicles to Measure Freeway Traffic Conditions

Benjamin A. Coifman, S. Kim

Open publisher page 14 citations

Abstract

Recently, many public transit systems have equipped their vehicles with automatic vehicle location (AVL) systems, which periodically provide position and speed for each transit vehicle in the fleet. Although AVL is deployed for transit operations, the vehicles also provide valuable information about the traffic stream throughout the road network. In this study we develop a methodology to mine the transit AVL data and find all trips that use any portion of a pre-specified portion of a freeway. These trips are then used to measure travel time and average speed over the freeway, thereby quantifying conditions on the facility. The results are validated against concurrent loop detector data from the corridor, though the greatest benefit would be expected in areas without fixed vehicle detection.

About this research paper

What this paper is about

Recently, many public transit systems have equipped their vehicles with automatic vehicle location (AVL) systems, which periodically provide position and speed for each transit vehicle in the fleet. Although AVL is deployed for transit operations, the vehicles also provide valuable information about the traffic stream throughout the road network. In this study we develop a methodology to mine the transit AVL data and find all trips that use any portion of a pre-specified portion of a freeway. These trips are then used to measure travel time and average speed over the freeway, thereby quantifying conditions on the facility. The results are validated against concurrent loop detector data from the corridor, though the greatest benefit would be expected in areas without fixed vehicle detection.

Why it matters

OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Recently, many public transit systems have equipped their vehicles with automatic vehicle location (AVL) systems, which periodically provide position and speed for each transit vehicle in the fleet. Although AVL is deployed for transit operations, the vehicles also provide valuable information about the traffic stream throughout the road network. In this study we develop a methodology to mine the transit AVL data and find all trips that use any portion of a pre-specified portion of a freeway. These trips are then used to measure travel time and average speed over the freeway, thereby quantifying conditions on the facility. The results are validated against concurrent loop detector data from the corridor, though the greatest benefit would be expected in areas without fixed vehicle detection.

Key concepts: Transit (satellite), Automatic vehicle location, Transport engineering, Measure (data warehouse), TRIPS architecture, Computer science, Position (finance), Public transport

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