1 / 25

Benjamin Schiereck, Sales Manger Traficon Germany

Improving road and tunnel safety via incident management: implementing a video image processing system. Video Detection Solutions. Benjamin Schiereck, Sales Manger Traficon Germany. Introduction Incident Management: Video Based Incident Detection Basic Functions of Incident Management

daria
Download Presentation

Benjamin Schiereck, Sales Manger Traficon Germany

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Improving road and tunnel safety via incident management: implementing a video image processing system Video Detection Solutions Benjamin Schiereck, Sales Manger Traficon Germany

  2. Introduction Incident Management: Video Based Incident Detection Basic Functions of Incident Management Video Image Processing Functions, Methodology & System architecture Detection rate Automatic Incident Detection system Cases (Eye on fire in a tunnel) Typical Freeway and Tunnel AVI files Summary Conclusions Outline of Presentation

  3. Introduction More Secondary Accidents & Long Traffic Jams More Accidents & More Cars Involved SOLUTION? More Traffic Time INCIDENT MANAGEMENT

  4. Traffic Monitoring, Prevention Incident Detection Incident Verification Driver Information Incident Clearing Basic Functions of Incident Management

  5. Most important is safe infrastructure Monitor traffic situation, speed and occupancy using video cameras. Set appropriate speeds on VMS panels Fast information about the incident Fast reaktion on incident e.G.. Closing the Tunnel Traffic Monitoring – Prevention All about time

  6. Traffic Monitoring on Highway using cameras!!

  7. Access control, situation in the Tunnel Monitoring actions with video Slow driving vehicle Traffic jam in tunnel Speed differences Occupancy Intervehicle distances VMS Panels Ventilation control Traffic Monitoring in Tunnel

  8. Detection Rate Incident Detection with respect to dedicated camera positions for incident detection Data collection for Outdoors Applications and for dedicated camera positions for data collection

  9. Direct Incident detection, Time to Detect, Time to Verify • Importance to avoid traffic jams • Importance to avoid secondary accidents Verona, ITALY Foix, FRANCE

  10. Incident Management Video Based Incident Detection Verona, ITALY

  11. Video Image Processing Functions • Stopped vehicle • Slow moving • Counting • Inverse direction • Distances between cars • Fallen objects • Pedestrians • Smoke

  12. System Architecture CAMERA VIP T M S

  13. Case 1: Fire in a Tunnel – Oslo 1996

  14. Type of Vehicle Stopped Vehicle Visible Smoke First Visible Flames Global Fire Car 0min. 3 min. 5 min. 8 min. Van 0min. 5 min. 8 min. 15 min. Engine fire (2%) 0min. Fast Fast Fast Brake Fire (98%) 0min. 10 min. 12 min. 20 min. Video Image Processing Methodology Evolution of Fires of Vehicles in and around Tunnels Data from Escota France,1999

  15. Case 2: ORESUND - Situation • Because this is quite a long tunnel at under sea level, the owner requested a highly redundantsystem with a very high detection rate, high reliability (MTBF) and a very high level of service (% Uptime). • This was one of the reasons why the detection cameras were installed at 60 metres distance, but programmed to cover at least 120 m.

  16. Detection Rate False Detections False Detection Cost Reliability ORESUND : Other considerations Öresund

  17. C1 C2 C3 C4 C5 C6 100m 100m 100m 100m 100m 100m C1 C2 C3 C4 C5 C6 60m 60m 60m 60m 60m 60m 60m 120m Redundancy Figure1: Distance between two cameras set at 100 metres without overlapping field of view Figure 2: Distance between two cameras set at 60 metres with overlapping field of view

  18. Video Detection examples: Tunnel Applications Stopped Vehicle Detection Incident Detection Inverse Direction Detection Pedestrian Detection Smoke Detection Object Detection

  19. Video Detection examples: Highway & Bridge Applications Stopped Vehicle Detection Inverse Direction Detection at night

  20. Summary Basic Advantages of Video Based Incident Detection: • Fast incident detection rate • Visual verification • High system reliability • Easy to install and modify • Low false detection rate & cost • Low overall lifetime cost

  21. Video detection works reliable. Video detection is the fastest way to detect. Video detection has the lowest false alarms rate. Video detection offers immediate verification via CCTV. AID, Automatic Incident detection is the best detection method for Incident management Conclusions

  22. Why use other incident detection if you will verify by video? Just use Video Incident detection Directly Thank You

  23. Tel Germany +49 (0) 5446 – 20 65 32 E-mail: info@traficon.de www.traficon.com

More Related