DACCORD Development and Application of Co-ordinated Control of Corridors
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1 DACCORD Development and Application of Co-ordinated Control of Corridors Eric Kroes - HCG TTCM8, Brussels, 9 March 1999.
2 Project Objectives To design, implement, validate and demonstrate a Dynamic Traffic Management System (DTMS) for integrated and co-ordinated ordinated control of inter- urban motorways To further develop an open system architecture for inter-urban traffic management
3 Project Approach practical experimentation with DTM and control tools system architecture development
4 6 Main contractors: Consortium HCG,, CSST, INRETS, TUC, TNO-TPD, AINE 22 Partners from 8 countries: NL(8), I(5), FR(4), D(1), DK(1), GB(1), GR(1), S(1) Network operators (7), Universities (5), Consultants (10) 3 Test sites: Brescia-Venice Paris Amsterdam A9 A7 A8 A10 Amsterdam A6 A9 A44 A4 A2 A1
5 Focus of the Project DTMS System Architecture Improved framework and incorporation of Control Dynamic Traffic Management Tools On-line data cleaning On-line travel time estimation and prediction Integrated and Co-ordinated ordinated Control Tools Motorway-to-motorway control Enhanced lane control and co-ordinated ordinated ramp metering (CRM) Network level CRM, enhanced routing control and integrated motorway network control
6 Improved Architecture framework Other ITS-areas Traffic Management System Logical Architecture Information Architecture Application Architecture Institutional Architecture Infrastructure Architecture
7 Co-ordinated ordinated Traffic Control expected effects strategies Logical Architecture scenarios DSS Co-ordinate activation Alarm phase Short term prediction Traffic state data Data cleaning TC measures Monitoring
8 Application Architecture RM-DSS IM-DSS Applications are made up of components Applications Share components Communication via ICT infrastructure TRAC DB operator support tool Scenario-DB Central Control loop Roadworks DB CTM-DSS Prediction & AFM qual Incident DB Cleaning & aggregation TC-measure TC-measure Point Monitoring
9 On-line Travel Time Estimation & Prediction What is TTE&P, and how does it work? Instantaneous, weighted instantaneous, prediction using STM, BTM, or time series model What does TTE&P aim to achieve? Prediction travel time as perceived by driver What can it be used for? Information provision, monitoring network performance Where has TTE&P been tested on-line? Amsterdam A10 motorway network Paris SIER motorway network Padua - Mestre (Venice) motorway network
10 On-line Travel Time Estimation & Prediction Route 5-02/12/98 - without data cleaning Measure forecasting TEPA weighted TEPA Travel time (mn) :23 6:38 6:54 7:06 7:29 7:43 7:58 8:30 8:59 9:19 9:34 9:48 10:07 10:20 10:27 Tim e
11 On-line Travel Time Estimation & Prediction 02/12/98 - route 5 - Forecasting Travel time (mn) Measure w ithout data cleaning w ith data cleaning 6:23 6:38 6:54 7:06 7:29 7:43 7:58 8:30 8:59 9:19 9:34 9:48 10:07 10:20 10:27 Time
12 On-line Travel Time Estimation & Prediction Conclusions: Estimation: simple methods perform well Prediction: the algorithms used do not (yet) offer a clear improvement over estimation Data cleaning: produced significant improvement in estimation and prediction results (Paris: -15% error) Monitoring systems: unpleasant surprises (clock (non)synchronisation synchronisation,, unwanted pre-processing)
13 Integrated Motorway Network Control What is IMNC, and how does it work? Optimal combination of VMS, RM and MTMC What does IMNC aim to achieve? Minimise Total Time Spent (in network and at origins) What strategies can be used? Dynamic optimal control, constrained control variables Use of METANET traffic model Generic control software tools: AMOC and OASIS How effective is IMNC? Simulations of Amsterdam network and Paris network
14 Integrated Motorway Network Control TTS(vh*h) A6TTS(with control) A6TTS(no control) 200 TTS(vh*h) A6aTTS (with control) A6aTTS (no control) Time Time :00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00
15 Integrated Motorway Network Control TTS(vh*h) TTS(vh*h) A6aTTS (withcontrol) A6aTTS (no control) 400 A6WTTS(with control) A6WTTS(no control) Time Time :00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00
16 Integrated Motorway Conclusions: Network Control IMNC reduces recurrent congestion and increases mean speed on motorway Simulation results for Paris network suggest very large potential benefit particularly for heavy traffic conditions: TTS -61% on A6W, -1% on BPI, -3% on A6a Simulation results for hypothetical network suggest: TTS for only CRM -16%, only VMS -30%, IMNC -37% AMOC and OASIS tools are operational, and IMNC approach can be meaningfully applied to real networks
17 Co-ordinated Ramp Metering demonstrator CRM Demonstrator in Amsterdam was implemented but could not be tested: implementation took extremely long (subcontracted to small company) insufficient support from road users (did not see congestion as problem) political hesitation (urban vs.. inter-urban network)
18 Summary of DACCORD Achievements System Architecture: Improved framework and incorporation of control Dynamic Traffic Management Tools Advanced methodologies: data, travel time est././pred. Implemented on-line and evaluated in three TCC s Integrated and Co-ordinated ordinated Control Tools Developed new generic traffic control methods: MTMC,, enhanced lane control, CRM, NLCRM, enhanced VMS, advanced routing control, IMNC Implemented (but not tested: MTM and CRM) Evaluated by means of simulation
19 More Information DACCORD Deliverables full list of Public Deliverables in Exploitation Plan DACCORD Website: : hcg.nl/daccord currently being upgraded (ready April 99) Contact: daccord@hcg hcg.nl contact person: Eric Kroes or Rik van Grol phone: fax:
20
21 System Architecture Achievements Concepts for central co-ordinated ordinated traffic control context for DACCORD work on traffic models guideline for further evolutionary developments Concepts for ICT-infrastructure view on state of the art technical system guideline for implementation & migration Solutions for interoperability organisational structure & information exchange common guideline for adaptation
22 Motorway-to- Motorway Control What is MTMC, and how does it work? MTMC versus RM, signals or barriers What does MTMC aim to achieve? Maintain capacity flow downstream of merge area What strategies can be used? Fixed time versus traffic responsive (ALINEA) Where is MTMC applied, and how effective is it? Paris A6 west - BP, simulation using METACOR Results positive, but MTMC not (yet) implemented
23 Motorway-to- Motorway Control
24 Motorway-to- Motorway Control Scenario_7: MTMC A6a/BPI + BPI & A6W on-ramps 250 TTS (vh.h) 200 A6a No Control ALINEA 150 BPI Temps(h:mn) 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00
25 Motorway-to- Motorway Control Conclusions: MTMC is a valuable tool for traffic control: reduces recurrent congestion and increases mean speed on motorway Simulation results for A6W: TTS -15% on A6W, -12% on BPI, no change for A6a Signal lights more effective than barrier (5% TTS) METACOR powerful tool for evaluation MTMC Political hesitation bottleneck for implementation
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