The 2nd ERTICO Breakfast Workshop:
Intelligence into Urban Mobility



 Hosted by Dr Dieter-Lebrecht Koch MEP and
        ...
Intersection safety for cities


        Intelligent Co-operative Intersection Safety System
  In the Vehicle             ...
Intersection safety for cities
                                          Input - Object to match:
                        ...
Intersection safety for cities
                                                                                           ...
Intersection safety for cities

Trajectory Prediction is needed
                                                         P...
Intersection safety for cities
 Additional Infrastructure is needed
        Intersection controller
 RSU    with RSU

    ...
Intersection safety for cities
Red light violation
                                 Gerichtsstraße




                   ...
Intersection safety for cities

                                                                                   IRIS – ...
Intersection safety for cities
                                                                                           ...
Intersection safety for cities

                                                      IRIS – Left Turn
                   ...
Intersection safety for cities
... also include
 Improvement of traffic efficiency
 Reduction of congestion
 Reduction ...
Intersection safety for cities

 Additional sensing systems needed
 Standardisation needed
 How does the driver react o...
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Siemens

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Siemens

  1. 1. The 2nd ERTICO Breakfast Workshop: Intelligence into Urban Mobility Hosted by Dr Dieter-Lebrecht Koch MEP and Mrs Zita Gurmai MEP 08/01/2010 Hans-Joachim Schade, Siemens AG, Munich 1
  2. 2. Intersection safety for cities Intelligent Co-operative Intersection Safety System In the Vehicle At the Infrastructure  Co-operative system based on  Co-operative system based on the v2v communication. the v2i and i2v communication.  Each vehicle has its own view  The RSU as part of the of the real world. intersection controller has an overall view of the whole intersection. 2 Hans-Joachim Schade, Siemens AG, Munich
  3. 3. Intersection safety for cities Input - Object to match: 1. Location of the object (WGS84), 2. Speed vector / heading 3. Vehicle indicator state, route info Input - Infrastructure: 1. Traffic light states, Map Matching 2. Lane speed values 3. States of road-side detectors 3 Hans-Joachim Schade, Siemens AG, Munich
  4. 4. Intersection safety for cities veh veh id id rsu pos pos rsu ego id vel vel ego id pos pos type type pos pos vel type …… vel type …… …… com nodes, fusion result congestion congestion id tree id tree pos temporary id pos id length regional info ! pos length pos dir curbs dir curbs … … …… landmarks for fog fog referencing accident id accident id id id pos pos map from pos pos a,b a,b provider …… …… Need of a Local Dynamic Map • High resolution description of the intersection in form of an enhanced digital map • Static extensions: e.g. reference tracks, lane geometries, detector locations • Dynamic data items: e.g. traffic light states, object trajectories 4 Hans-Joachim Schade, Siemens AG, Munich
  5. 5. Intersection safety for cities Trajectory Prediction is needed Predicted Trajectory A PAST first detection of the vehicle Probability = 0.1 NOW last received position of the vehicle FUTURE 10 points; distance 0.5 sec Predicted Trajectory B Probability = 0.85 Predicted Trajectory C Probability = 0.05 time PAST NOW FUTURE 5 Hans-Joachim Schade, Siemens AG, Munich
  6. 6. Intersection safety for cities Additional Infrastructure is needed Intersection controller RSU with RSU WLAN Router + Antennas Laser Scanner RSU 2 1 3 3 6 Hans-Joachim Schade, Siemens AG, Munich
  7. 7. Intersection safety for cities Red light violation Gerichtsstraße virtual stop line  Need to be marked at the road  need to changed in LDM RSU TLC Critical Distance Critical Warning Zone Critical Warning (unicast) SAFESPOT-Vehicle 5 - 20m Hamburgerstraße West - East Critical Warning Zone SAFESPOT-Vehicle virtual stop line  Need to be marked at the road Critical  need to changed in LDM Warning (broadcast) Critical Distance RSU TLC Critical Warning SAFESPOT-Vehicle (broadcast) (but does not react on warning) Critical Warning (unicast) 5 - 20m SAFESPOT-Vehicle 7 Hans-Joachim Schade, Siemens AG, Munich
  8. 8. Intersection safety for cities IRIS – Red light violation Violator: SF vehicle Right turn cyclist Priority: - Warning: SF vehicle (unicast) RSU TLC VRU (cyclist) (no warning possible) Critical Warning SAFESPOT-Vehicle (unicast) Critical Distance Critical Warning Zone 8 Hans-Joachim Schade, Siemens AG, Munich
  9. 9. Intersection safety for cities IRIS – Right Turn Violator: SF vehicle Priority: VRU (Pedestrian) Warning: SF vehicle (unicast) Right turn pedestrian Virtual Virtual VRU (pedestrian) RSU TLC Detection Area Detection Area (no warning possible) Critical Warning SAFESPOT-Vehicle (unicast) Critical Distance Critical Warning Zone 9 Hans-Joachim Schade, Siemens AG, Munich
  10. 10. Intersection safety for cities IRIS – Left Turn Violator: SF vehicle Priority: VRU (Pedestrian) Left turn Warning: SF vehicle (unicast) RSU TLC Critical Warning SAFESPOT-Vehicle (unicast) Critical Warning Zone 10 Hans-Joachim Schade, Siemens AG, Munich
  11. 11. Intersection safety for cities ... also include  Improvement of traffic efficiency  Reduction of congestion  Reduction of emissions Traffic Control Centre with Adaptive Network Control System Controllers Traffic flow Benefits: • Waiting times reduction: 30 % - 35 % • Number of stops reduction: 20 % - 45 % 11 Hans-Joachim Schade, Siemens AG, Munich
  12. 12. Intersection safety for cities  Additional sensing systems needed  Standardisation needed  How does the driver react on these new assistant systems?  Future large FOT‘s  Deployment 12 Hans-Joachim Schade, Siemens AG, Munich
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