01137520

Component

https://doi.org/10.3141/2121-10

http://scholar.google.com...+Kim&publication_year=2009

Many public transit agencies have equipped their fleet with automatic vehicle location (AVL) systems, which periodically provide the location of each vehicle in the fleet. Although the AVL is deployed for transit operations, the vehicles also provide valuable information about the traffic stream throughout the road network. This study developed a methodology to mine the transit AVL data to find all trips that use any portion of a prespecified freeway segment. These trips are then used to measure travel time and average speed over the freeway and thereby quantify conditions on the facility. The results are validated against concurrent loop detector data from a corridor. The greatest benefits, however, are in areas without fixed vehicle detection, so the methodology is also demonstrated on such a freeway corridor. The study corridors typically have fewer than 50 observations per day per kilometer per direction, so this paper includes a process for selecting those segments with at least one observation per hour. Even with this low density of observations, the data are aggregated to show clearly the recurring congestion patterns. Nonrecurring events are also evident, but they take longer to detect. With a higher frequency of observations (e.g., from other fleet AVL systems, cell phone tracking, or vehicle–infrastructure integration probe data), the methodology should also be effective for rapidly identifying nonrecurring congestion.

01147424

09-2282

English

pp 90-101

2009

Transportation Research Record: Journal of the Transportation Research Board

9780309126380

Print

Figures (12) ; References (6)

Automatic vehicle location; Data mining; Freeways; Loop detectors; Nonrecurrent congestion; Speed; Traffic characteristics; Traffic congestion; Traffic flow; Transit buses; Travel time

Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control

BTRIS, TRIS, TRB, ATRI

Jan 30 2009 6:38PM

• Adding Green Performance Metrics to a Transportation Data Archive
• Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data
• Combining State Route and Local Road Linear Referencing System Information
• Commodity-Specific Disaggregation of 2002 Freight Analysis Framework Data to County Level in New Jersey
• Detecting Differential Drift in Weigh-in-Motion Wheel Track Sensors
• Estimation for Seasonal Factors of Similarity-Based Traffic for Urban Roads in Florida
• Estimation of Travel Time on Urban Networks with Midlink Sources and Sinks
• Examining Common Distributional Assumptions of Travel Characteristics for Data Simulation
• Geographic Information System Framework for Stormwater Drainage Asset Management
• Intercity Person Trip Tables for Nationwide Transportation Planning in Israel Obtained from Massive Cell Phone Data
• Life-Cycle Cost Approach to Infrastructure Cost Calculation and Allocation
• Making Asset Management Work: Innovative Components for Successful Implementation by Local Agencies in Michigan
• Paso Del Norte Regional Mobility Information System: Creating Archived Transportation Data User Services and an Advanced Traveler Information System
• Real-Time Estimation of Arterial Travel Times with Spatial Travel Time Covariance Relationships
• Tracking Large Trucks in Real Time with License Plate Recognition and Text-Mining Techniques
• Video-Based Vehicle Detection and Tracking Using Spatiotemporal Maps