01033615

Component

https://doi.org/10.3141/1959-15

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

European regulations for the management of roadway tunnels became much more stringent after the 1999 Mount Blanc inferno. Several video image processing (VIP) devices for traffic surveillance have automated incident detection (AID) capabilities. Autoscope, Citilog, and Traficon were invited to make installations for testing their VIPs with eight preexisting cameras in Attica Tollway tunnels. The suppliers of the competing devices were responsible for setting and calibrating the devices for best results. No literature was found in which VIPs developed in 2000 or later were evaluated for incident detection. A 3,013-incident database was used to derive the detection rate and false-alarm rate for each device for the whole database, separately for each closed-circuit television camera, and by type of incident. Changes in detection performance after each manufacturer’s intervention were evaluated. T-tests were conducted on the significance of effects of low, medium, and high volume in weekday and weekend traffic, and natural or artificial lighting. A separate analysis was conducted for incidents that were artificially generated by Attica Tollway engineers and staff at off-peak times. The results show promise, but the evaluated performance was poor because of three reasons: low maturity of the technology, complex algorithms due to the provision of extensive functionality, and suboptimal camera location and height for image processing, but VIP devices must adapt to tunnel limitations.

01036675

English

0000-0001-6983-2321

pp 130-139

2006

Transportation Research Record: Journal of the Transportation Research Board

0309099684

Print

References (21) ; Tables (7)

Automatic incident detection; Cameras; Closed circuit television; Freeways; Image processing; Incident detection; Performance tests; Toll tunnels; Traffic surveillance; Tunnels; Video cameras

Bridges and other structures; Highways; Operations and Traffic Management; I73: Traffic Control

TRIS, TRB, ATRI

Mar 3 2006 10:28AM

• Amber Alert and Major Catastrophe Messages on Dynamic Message Signs: Focus Group Studies in Texas
• Assessing Weather, Environment, and Loop Data for Real-Time Freeway Incident Prediction
• Automated Adaptive Traffic Corridor Control Using Reinforcement Learning: Approach and Case Studies
• Components of Congestion: Delay from Incidents, Special Events, Lane Closures, Weather, Potential Ramp Metering Gain, and Excess Demand
• Comprehensive Evaluation of New Integrated Freeway Ramp Control Strategy
• Developments and Applications of Simulation-Based Online Travel Time Prediction System: Traveling to Ocean City, Maryland
• Estimation of Incident Delay and Its Uncertainty on Freeway Networks
• Feasibility Assessment of Metropolitan High-Occupancy Toll Lane Network in Atlanta, Georgia
• Flashing Message Features on Changeable Message Signs
• Improving Minnesota's Stratified Ramp Control Strategy
• Operational Effect of Single-Occupant Hybrid Vehicles in High-Occupancy Vehicle Lanes
• Real-Time Estimation of Critical Occupancy for Maximum Motorway Throughput
• Safety Evaluation of Buffer-Separated High-Occupancy Vehicle Lanes in Texas
• Set of New Traffic-Responsive Ramp-Metering Algorithms and Microscopic Simulation Results
• Transportation and Emergency Services: Identifying Critical Interfaces, Obstacles, and Opportunities
• Using Real-Life Dual-Loop Detector Data to Develop New Methodology for Estimating Freeway Travel Time Reliability
• Using Risk Analysis to Prioritize Intelligent Transport Systems: Variable Message Sign Case Study in Gold Coast City, Australia
• Validating Dynamic Message Sign Freeway Travel Time Messages with Ground Truth Geospatial Data