00962054

Component

https://doi.org/10.3141/1826-04

http://scholar.google.com...dran&publication_year=2003

Vehicle reidentification was investigated as a method for deriving travel time and travel time distributions with loop and video detectors. Vehicle reidentification is the process of tracking vehicles anonymously from site to site to produce individual vehicle travel times and overall travel time distribution. Travel time and travel time distribution are measures of the performance and reliability of the transportation system and are useful in many transportation applications such as planning, operations, and control. Findings from the investigation included (a) results from a platoon reidentification algorithm that improved upon a previous individual vehicle reidentification algorithm, (b) sensitivity analysis on the effect of time windows in deriving travel times, and (c) derivation and goodness of fit of travel time distributions using vehicle reidentification. Arterial data from Southern California were used in testing the algorithm's performance. Test results showed that the algorithm can reidentify vehicles with an accuracy of greater than 95.9% with 92.4% of total vehicles; can calculate individual travel times with approximately 1% mean error with the most effective time window; and can derive travel time distributions that fit actual distributions at a 99% confidence level.

This paper appears in Transportation Research Record No. 1826, Intelligent Transportation Systems and Vehicle-Highway Automation 2003.

English

p. 25-31

2003

Transportation Research Record

0309085594

Figures (2) ; References (27) ; Tables (3)

Accuracy; Algorithms; Field studies; Goodness of fit; Identification systems; Loop detectors; Sensitivity analysis; Travel time; Vehicles; Video imaging detectors

Vehicle reidentification

Southern California

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

TRIS, TRB, ATRI

Aug 13 2003 12:00AM

• ANONYMOUS VEHICLE TRACKING FOR REAL-TIME TRAFFIC SURVEILLANCE AND PERFORMANCE ON SIGNALIZED ARTERIALS
• CALIFORNIA STATEWIDE INTELLIGENT TRANSPORTATION SYSTEMS PLAN EVALUATION: CASE STUDY OF CONFORMITY WITH NATIONAL INTELLIGENT TRANSPORTATION SYSTEMS ARCHITECTURE
• COST-EFFECTIVENESS OF INTELLIGENT TRANSPORTATION SYSTEM (ITS) DEPLOYMENT IN A MEDIUM-SIZED AREA: CASE STUDY WITH ITS DEPLOYMENT ANALYSIS SYSTEM
• INTERPRETING CELLULAR COVERAGE FOR TRANSPORTATION APPLICATIONS
• POTENTIAL OF ADVANCED TRAVELER INFORMATION SYSTEM TO REDUCE TRAVEL DISUTILITY: ASSESSMENT IN WASHINGTON, D.C., REGION
• SPECIALTY VEHICLE PLATFORM RESULTS FOR INTELLIGENT VEHICLE INITIATIVE: MINNESOTA FIELD OPERATIONAL TEST
• SYSTEM INTEGRATION AND FIELD TESTS FOR DEVELOPING IN-VEHICLE DILEMMA ZONE WARNING SYSTEM