00966706

Component

https://doi.org/10.3141/1855-04

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

A dynamic travel-time prediction model was developed for the South Jersey (southern New Jersey) motorist real-time information system. During development and evaluation of the model, the integration of traffic flow theory, measurement and application of collected data, and traffic simulation were considered. Reliable prediction results can be generated with limited historical real-time traffic data. In the study, acoustic sensors were installed at potential congested places to monitor traffic congestion. A developed simulation model was calibrated with the data collected from the sensors, and this was applied to emulate traffic operations and evaluate the proposed prediction model under time-varying traffic conditions. With emulated real-time information (travel times) generated by the simulation model, an algorithm based on Kalman filtering was developed and applied to forecast travel times for specific origin-destination pairs over different periods. Prediction accuracy was evaluated by the simulation model. Results show that the developed travel-time predictive model demonstrates satisfactory performance.

This paper appears in Transportation Research Record No. 1855, Transportation Data Research.

English

p. 32-40

2003

Transportation Research Record

0309085918

Figures (4) ; References (16) ; Tables (4)

Accuracy; Acoustic detectors; Advanced traveler information systems; Algorithms; Data collection; Forecasting; Kalman filtering; Origin and destination; Real time information; Traffic congestion; Traffic flow theory; Traffic simulation; Travel time

New Jersey

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

TRIS, TRB, ATRI

Dec 30 2003 12:00AM

• ALGORITHM FOR DETECTING AND CORRECTING ERRORS IN ARCHIVED TRAFFIC DATA
• APPLICATION OF PROBE-VEHICLE DATA FOR REAL-TIME TRAFFIC-STATE ESTIMATION AND SHORT-TERM TRAVEL-TIME PREDICTION ON A FREEWAY
• ASSESSMENT OF DATA-COLLECTION TECHNIQUES FOR HIGHWAY AGENCIES
• BEHAVIORAL MECHANISMS OF NONRESPONSE IN MAIL-BACK TRAVEL SURVEYS
• COLLECTING VEHICLE-SPEED DATA BY USING TIME-LAPSE VIDEO RECORDING EQUIPMENT
• CORRELATION TECHNIQUE FOR ESTIMATING TRAFFIC SPEED FROM CAMERAS
• DETECTING ERRORS AND IMPUTING MISSING DATA FOR SINGLE-LOOP SURVEILLANCE SYSTEMS
• DEVELOPING A COMMODITY FLOW DATABASE FROM TRANSEARCH DATA
• DEVELOPMENT OF A HYBRID MODEL FOR DYNAMIC TRAVEL-TIME PREDICTION
• DEVELOPMENT OF A SYSTEM FOR COLLECTING LOOP-DETECTOR EVENT DATA FOR INDIVIDUAL VEHICLES
• ESTIMATING ANNUAL AVERAGE DAILY TRAFFIC FROM SATELLITE IMAGERY AND AIR PHOTOS: EMPIRICAL RESULTS
• ESTIMATING CORRIDOR TRAVEL TIME BY USING TRANSIT VEHICLES AS PROBES
• EVALUATION OF AN ARTIFICIAL NEURAL NETWORK TECHNIQUE APPLIED TO MULTIPLE-SENSOR WEIGH-IN-MOTION SYSTEMS
• GENERATING VEHICLE-SPECIFIC SPEED PROFILES FROM AUTOMATIC TRAFFIC RECORDERS
• IMPROVING A TRAVEL-TIME ESTIMATION ALGORITHM BY USING DUAL LOOP DETECTORS
• MICROSCOPIC TRAFFIC DATA COLLECTION BY REMOTE SENSING
• PRESERVATION OF INFRASTRUCTURE BY USING WEIGH-IN-MOTION COORDINATED WEIGHT ENFORCEMENT
• SIMPLEX-BASED CALIBRATION OF TRAFFIC MICROSIMULATION MODELS WITH INTELLIGENT TRANSPORTATION SYSTEMS DATA
• TECHNOLOGIES FOR TRUCK CLASSIFICATION AND METHODOLOGIES FOR ESTIMATING TRUCK VEHICLE MILES TRAVELED
• TEMPORAL VARIABILITY OF CAR USE AS AN INPUT TO DESIGN OF BEFORE AND AFTER SURVEYS
• TRAVEL-TIME RELIABILITY AS A MEASURE OF SERVICE
• USE OF LONG-TERM PAVEMENT PERFORMANCE DATA TO DEVELOP TRAFFIC DEFAULTS IN SUPPORT OF MECHANISTIC-EMPIRICAL PAVEMENT DESIGN PROCEDURES
• WEB-BASED RURAL ROAD ASSET-MANAGEMENT SYSTEM