01020261

Component

https://doi.org/10.3141/1945-02

http://scholar.google.com...hung&publication_year=2006

Travel time variability has recently become an important measure in transportation system management and has begun to be treated as a major factor influencing travel decisions. The main purpose of this study is to develop a database to help understand traffic variability of point measures and route-level measures by incorporating existing traffic surveillance systems. This study develops an integrated geographic information system database for traffic analysis in Orange County, California, and reports temporal and spatial traffic variability as measures of travel reliability. The database is to provide the analysis framework to study travel time variability at both the section level and the route level. In many cases, traffic data are used for traffic operations without the data being stored. The archived traffic data can play an important role as a way of measuring freeway performance. Such historic data make it possible to analyze such travel time variability from a long-term perspective. The database developed in this study is expected to help researchers and practitioners understand travel time variability as a measure of transportation system reliability by providing the analysis framework.

01031684

English

pp 12-23

2006

Transportation Research Record: Journal of the Transportation Research Board

0309099536

Print

Figures (9) ; References (13) ; Tables (4)

Data banks; Databases; Decision making; Loop detectors; Route choice; Traffic congestion; Traffic data; Transportation system management; Travel; Travel time

System reliability; Travel time variability

Orange County (California)

Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Mar 3 2006 11:12AM

• Accuracy Assessment of Traffic Monitoring Devices Vehicle by Vehicle
• Artificial Neural Network Method for Length-Based Vehicle Classification Using Single-Loop Outputs
• Cellular-Based Data-Extracting Method for Trip Distribution
• Characterization of Truck Traffic in California for Mechanistic-Empirical Design
• Detection of Invalid Loop Detector Data in Urban Areas
• Effect of Sensor Spacing on Performance Measure Calculations
• Evaluation of Quartz Piezoelectric Weigh-in-Motion Sensors
• Identification and Correction of Dual-Loop Sensitivity Problems
• Identifying Lane-Mapping Errors at Freeway Detector Stations
• Sensitivity of NCHRP 1-37A Pavement Design to Traffic Input
• Statistical Investigations of Statutory Holiday Effects on Traffic Volumes
• Using Automatic Vehicle Identification Data to Gain Insight into Travel Time Variability and Its Causes