Research Display Traffic Management

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1 Research Display Traffic Management Floating Car Data (FCD) DLR Institute of Transportation Systems Department Traffic Management Günter Kuhns, Matthias Tief

traffic flows) Characteristics: + Local mostly precise - High Costs, short lifetime - Only on main

2 Traffic Data Collection 1 (classic) Primarily stationary Induction loops (traffic flow, local speed, time gap, occupancy) Visual/Infrared sensors (esp. traffic flows) Characteristics: + Local mostly precise - High Costs, short lifetime - Only on main roads and there not everywhere - Travel times are not measured directly Qualität im Verkehrsmanagement - mehr als Verkehrsqualität > Folie 2

Traffic Data Collection 2 (research) Recent detection methods Stationary video detection Video detection on mobile platform Mobile Phone movements (GSM handover) Car2X (Car2Car and

3 Traffic Data Collection 2 (research) Recent detection methods Stationary video detection Video detection on mobile platform Mobile Phone movements (GSM handover) Car2X (Car2Car and Car2Infrastructure) Floating Car Data (FCD): GPS positions Characteristics FCD: + Low costs for infrastructure + Area wide detection (even on minor roads) + Direct measurement of travel times - Only a part of the total flow is measured - Spatial and Temporal noisy and incomplete Qualität im Verkehrsmanagement - mehr als Verkehrsqualität > Folie 3

4 FCD System architecture Taxi headquarter Disposition system digital radio oder GPRS FCD-Server Data processing Service Provider Data usage GPRS, SMS, RDS-TMC, HTTP... GPS GPS Qualität im Verkehrsmanagement - mehr als Verkehrsqualität > Folie 4

5 Traffic States with FCD FCD- data reception: GPS-position (WGS84) Longitude Latitude Time stamp Vehicle-ID (current speed) In time intervals of about 30 sec 3 min Main challenges: Noisy GPS-signals -> Filtering and justification Subsequent GPS-positions far away -> robust completion algorithm Non-representativity (f.ex. Bus lanes) -> Drop data Qualität im Verkehrsmanagement - mehr als Verkehrsqualität > Folie 5

FCD - Database DLR Key figures more than 10.

6 FCD - Database DLR Key figures more than probe vehicles Hamburg 1700 Taxis + Real-time system huge raw database since April 2001 (billions of position data) Vienna (A) 600 Taxis Cologne (in planning) 1200 Taxis Bonn (in planning) 360 Taxis Berlin 4300 Taxis Brunswick 160 Taxis Nuremberg 500 Taxis + Copenhagen (DK) 700 Taxis + Amsterdam (NL) 700 Taxis Frankfurt 800 Taxis Stuttgart 700 Taxis Munich 3000 Taxis Qualität im Verkehrsmanagement - mehr als Verkehrsqualität > Folie 6

7 FCD for Real Time Traffic Information Systems Examples of possible applications

Real Time Traffic Monitoring Hamburg (http://www.hamburg.

html) Traffic Condition Map Travel Time Monitoring for 12 routes Traffic

8 Real Time Traffic Monitoring Hamburg ( Traffic Condition Map Travel Time Monitoring for 12 routes Traffic barometer Update every 10 minutes Qualität im Verkehrsmanagement - mehr als Verkehrsqualität > Folie 8

locations of interest Routes clickable, Quality value route coverage Additional travel time < 50 % route coverage Jam

9 More Real Time Traffic Monitoring Applications Current travel time information for taxi drivers for defined routes (LOS-coding: red-yellow-green) Dynamic Routing (based on real-time or historical data) Travel time monitoring for locations of interest Routes clickable, Quality value route coverage Additional travel time < 50 % route coverage Jam Moderate floating Typical route travel time Qualität im Verkehrsmanagement - mehr als Verkehrsqualität > Folie 9

10 Using historical FCD for Traffic Management Systems and Logistics - Project SmartTruck - Optimized route scheduling - Quality management for traffic signals (QM4LSA)

Project SmartTruck The idea + Optimization of route scheduling Pre-day route schedules: Using historical daily speed profiles for each street

11 Project SmartTruck The idea + Optimization of route scheduling Pre-day route schedules: Using historical daily speed profiles for each street segment OnBoardUnits: Using current travel times for ad hoc optimization Qualität im Verkehrsmanagement - mehr als Verkehrsqualität > Folie 11

SmartTruck: Optimized route scheduling - results 1000 parcels, 5 tours, 300 km 1000 parcels, 4 tours, 260 km 15 % optimization Tours are more compact reducing driven kilometers Better

12 SmartTruck: Optimized route scheduling - results 1000 parcels, 5 tours, 300 km 1000 parcels, 4 tours, 260 km 15 % optimization Tours are more compact reducing driven kilometers Better Assignment of drivers to ad-hoc parcels With OBU drivers can be taken even for tours with which they are not familiar Qualität im Verkehrsmanagement - mehr als Verkehrsqualität > Folie 12

Frankfurter Allee Density profiles on inflows after matching

13 Quality management for traffic signals GPS density from FCD (Berlin, 1 month) Greifswalder Straße B96a Landsberger Allee Frankfurter Allee Density profiles on inflows after matching Qualität im Verkehrsmanagement - mehr als Verkehrsqualität > Folie 13

QM4LSA - Average jam lengths at traffic signals via GPS density Example Nuremberg, Erlanger Strasse direction city center (inflow from north) Estimation of maximum jam length From that also loss

14 QM4LSA - Average jam lengths at traffic signals via GPS density Example Nuremberg, Erlanger Strasse direction city center (inflow from north) Estimation of maximum jam length From that also loss times estimable Häufigkeitsprofil Zufluss 3 (Dienstage, Mittwoche, Donnerstage = / / / ) Absolute Häufigkeit Position [m] Qualität im Verkehrsmanagement - mehr als Verkehrsqualität > Folie 14

15 Summary Main advantages of FCD Low infrastructure costs Information about the whole street network (including minor roads) Direct measurement of travel times Best solution especially for services which need travel time information route planning navigation Much more is possible: Calculation of further traffic parameters: traffic volumes, emissions Traffic state evaluation for infrastructure management Evaluation of traffic management activities (changed speed limit, constr. sites) Comprehensive quality management for traffic signals Optimization of traffic flow control (traffic signals, VMS) Qualität im Verkehrsmanagement - mehr als Verkehrsqualität > Folie 15

Thank you for your Attention! eike.bretschneider@dlr.

Transportation Systems Department Traffic Management Rutherfordstraße 2

16 Thank you for your Attention! (030) German Aerospace Center (DLR) Institute of Transportation Systems Department Traffic Management Rutherfordstraße Berlin Qualität im Verkehrsmanagement - mehr als Verkehrsqualität > Folie 16

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