DACCORD Development and Application of Co-ordinated Control of Corridors

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DACCORD

Development and Application of

Co-ordinated Control of Corridors

DACCORD

Development and Application of

Co-ordinated Control of Corridors

Eric

Kroes

- HCG

TTCM8, Brussels, 9 March 1999.

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Project Objectives

•

• To design, implement, validate and demonstrate a

To design, implement, validate and demonstrate a

Dynamic Traffic Management System (DTMS)

for integrated and

co-for integrated and co-

ordinated

control of inter-

control of

inter-urban motorways

urban motorways

•

• To further develop an open system architecture for

To further develop an open system architecture for

inter-urban traffic management

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Project Approach

practical

experimentation with DTM and control tools

system architecture development

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Consortium

•

• 6 Main contractors:

6 Main contractors:

–

– HCGHCG, CSST, INRETS, TUC, TNO-TPD, AINE, CSST, INRETS, TUC, TNO-TPD, AINE

•

• 22 Partners from 8 countries:

22 Partners from 8 countries:

–

– NL(8), I(5), FR(4), D(1), DK(1), GB(1), GR(1), S(1)NL(8), I(5), FR(4), D(1), DK(1), GB(1), GR(1), S(1)

–

– Network operators (7), Universities (5), Consultants (10)Network operators (7), Universities (5), Consultants (10)

•

• 3 Test sites:

3 Test sites:

A9A9 A7 A8 A10 A6 A1 A2 A9 A4 A44 Amsterdam Paris Paris Brescia

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Focus of the Project

•

• DTMS System Architecture

DTMS System Architecture

–

– Improved framework and incorporation of ControlImproved framework and incorporation of Control

•

• Dynamic Traffic Management Tools

Dynamic Traffic Management Tools

–

– On-line data cleaningOn-line data cleaning

–

– On-line travel time estimation and predictionOn-line travel time estimation and prediction

•

• Integrated and Co-

Integrated and Co-

ordinated

Control Tools

–

– MotorwayMotorway-to-motorway control-to-motorway control

–

– Enhanced lane control and co- Enhanced lane control and co-ordinated ordinated rampramp metering (CRM)

metering (CRM)

–

– Network level CRM, enhanced routing control and Network level CRM, enhanced routing control and integrated motorway network control

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Other ITS-areas

Traffic Management System

Information Architecture Institutional Architecture Logical Architecture Application Architecture Infrastructure Architecture

Improved

Architecture framework

Improved

Architecture framework

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Logical

Architecture

Co-ordinated Traffic Control

Co-Co-

ordinated

Traffic Control

Data cleaning strategies scenarios DSS Co-ordinate activation TC measures expected effects Short term prediction Monitoring Traffic state data Alarm phase

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Scenario-DB Incident DB Central Control loop TC-measure TC-measure Roadworks DB TRAC DB Cleaning & aggregation Prediction & AFM qual Point Monitoring operator support tool IM-DSS RM-DSS •

• Applications areApplications are made up of

made up of

components

•

• Applications ShareApplications Share components

components

•

• Communication viaCommunication via ICT infrastructure

ICT infrastructure

Application Architecture

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On-line Travel Time

Estimation & Prediction

On-line Travel Time

Estimation & Prediction

•

• What is TTE&P, and how does it work?

What is TTE&P, and how does it work?

–

– Instantaneous, weighted instantaneous, prediction usingInstantaneous, weighted instantaneous, prediction using STM, BTM, or time series model

STM, BTM, or time series model

•

• What does TTE&P aim to achieve?

What does TTE&P aim to achieve?

–

– Prediction travel time as perceived by driverPrediction travel time as perceived by driver

•

• What can it be used for?

What can it be used for?

–

– Information provision, monitoring network performanceInformation provision, monitoring network performance

•

• Where has TTE&P been tested on-line?

Where has TTE&P been tested on-line?

–

– Amsterdam A10 motorway networkAmsterdam A10 motorway network

–

– Paris SIER motorway networkParis SIER motorway network

–

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On-line Travel Time

Estimation & Prediction

On-line Travel Time

Estimation & Prediction

R o u t e 5 - 0 2 /1 2 /9 8 - without data cleaning

0 10 20 30 40 50 60 70 80 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 T im e Travel time (mn) Measure f o r e c a s t ing TEPA w eighted TEPA

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On-line Travel Time

Estimation & Prediction

On-line Travel Time

Estimation & Prediction

0 2 / 1 2 / 9 8 - r o u te 5 - F o r e c a s t i n g 0 1 0 2 0 3 0 4 0 5 0 6 0 7 0 8 0 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 T i m e Travel time (mn) M e a s u r e w ith o u t d a t a c le a n in g w ith d a t a c le a n in g

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On-line Travel Time

Estimation & Prediction

On-line Travel Time

Estimation & Prediction

•

• Conclusions:

Conclusions:

–

– Estimation: simple methods perform wellEstimation: simple methods perform well

–

– Prediction: the algorithms used do not (yet) offer aPrediction: the algorithms used do not (yet) offer a clear improvement over estimation

clear improvement over estimation

–

– Data cleaning: produced significant improvement inData cleaning: produced significant improvement in estimation and prediction results (Paris: -15% error)

estimation and prediction results (Paris: -15% error)

–

– Monitoring systems: “unpleasant surprises” (clockMonitoring systems: “unpleasant surprises” (clock (non)

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Integrated Motorway

Network Control

Integrated Motorway

Network Control

•

• What is IMNC, and how does it work?

What is IMNC, and how does it work?

–

– Optimal combination of VMS, RM and MTMCOptimal combination of VMS, RM and MTMC

•

• What does IMNC aim to achieve?

What does IMNC aim to achieve?

–

– MinimiseMinimise Total Time Spent (in network and at origins) Total Time Spent (in network and at origins)

•

• What strategies can be used?

What strategies can be used?

–

– Dynamic optimal control, constrained control variablesDynamic optimal control, constrained control variables

–

– Use of METANET traffic modelUse of METANET traffic model

–

– Generic control software tools: AMOC and OASISGeneric control software tools: AMOC and OASIS

•

• How effective is IMNC?

How effective is IMNC?

–

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Integrated Motorway

Network Control

Integrated Motorway

Network Control

0 50 100 150 200 250 300 350 400 450 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 A6 TTS (with control) A6 TTS (no control) Time TTS (vh*h) 0 50 100 150 200 250 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00

A6a TTS (with control) A6a TTS (no control)

Time TTS (vh*h)

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Integrated Motorway

Network Control

Integrated Motorway

Network Control

0 100 200 300 400 500 600 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00

A6W TTS (with control) A6W TTS (no control) TTS (vh*h) Time 0 50 100 150 200 250 300 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 A6a TTS (with control) A6a TTS (no control)

Time TTS (vh*h)

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Integrated Motorway

Network Control

Integrated Motorway

Network Control

•

• Conclusions:

Conclusions:

–

– IMNC reduces recurrent congestion and increases meanIMNC reduces recurrent congestion and increases mean speed on motorway

speed on motorway

–

– Simulation results for Paris network suggest very largeSimulation results for Paris network suggest very large potential benefit particularly for heavy traffic conditions:

potential benefit particularly for heavy traffic conditions:

TTS -61% on A6W, -1% on BPI, -3% on A6a

–

– Simulation results for hypothetical network suggest:Simulation results for hypothetical network suggest: TTS for only CRM -16%, only VMS -30%, IMNC -37%

TTS for only CRM -16%, only VMS -30%, IMNC -37%

–

– AMOC and OASIS tools are operational, and IMNCAMOC and OASIS tools are operational, and IMNC approach can be meaningfully applied to real networks

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Co-ordinated Ramp

Metering demonstrator

Co-ordinated Ramp

Metering demonstrator

•

• CRM Demonstrator in Amsterdam was

CRM Demonstrator in Amsterdam was

implemented but could

not

be tested:

–

– implementation took extremely long (subcontracted toimplementation took extremely long (subcontracted to small company)

small company)

–

– insufficient support from road users (did not seeinsufficient support from road users (did not see congestion as problem)

congestion as problem)

–

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Summary of DACCORD

Achievements

Summary of DACCORD

Achievements

•

• System Architecture:

System Architecture:

–

– Improved framework and incorporation of controlImproved framework and incorporation of control

•

• Dynamic Traffic Management Tools

Dynamic Traffic Management Tools

–

– Advanced methodologies: data, travel time Advanced methodologies: data, travel time estest././predpred..

–

– Implemented on-line and evaluated in threeImplemented on-line and evaluated in three TCC’s TCC’s

•

• Integrated and Co-

Integrated and Co-

ordinated

Control Tools

–

– Developed new generic traffic control methods:Developed new generic traffic control methods: MTMC

MTMC, enhanced lane control, CRM, NLCRM,, enhanced lane control, CRM, NLCRM, enhanced VMS, advanced routing control, IMNC

enhanced VMS, advanced routing control, IMNC

–

– Implemented (but not tested: MTM and CRM)Implemented (but not tested: MTM and CRM)

–

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More Information

•

• DACCORD Deliverables

DACCORD Deliverables

–

– full list of Public Deliverables in Exploitation Planfull list of Public Deliverables in Exploitation Plan

•

• DACCORD

DACCORD

Website

: www.

hcg

.

nl

/

daccord

–

– currently being upgraded (ready April ‘99)currently being upgraded (ready April ‘99)

•

• Contact: e-mail:

Contact: e-mail:

daccord

@

hcg

.

nl

–

– contact person: Eric contact person: Eric Kroes Kroes or or Rik Rik van van GrolGrol

–

– phone: +31 70 346 9426phone: +31 70 346 9426

–

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System Architecture

Achievements

System Architecture

Achievements

•

• Concepts for central co-

Concepts for central co-

ordinated

traffic control

–

– context for DACCORD work on traffic modelscontext for DACCORD work on traffic models

–

– guideline for further evolutionary developmentsguideline for further evolutionary developments

•

• Concepts for ICT-infrastructure

Concepts for ICT-infrastructure

–

– view on state of the art technical systemview on state of the art technical system

–

– guideline for implementation & migrationguideline for implementation & migration

•

• Solutions for interoperability

Solutions for interoperability

–

– organisationalorganisational structure & information exchange structure & information exchange

–

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Motorway-to-Motorway Control

•

• What is MTMC, and how does it work?

What is MTMC, and how does it work?

–

– MTMC versus RM, signals or barriersMTMC versus RM, signals or barriers

•

• What does MTMC aim to achieve?

What does MTMC aim to achieve?

–

– Maintain capacity flow downstream of merge area Maintain capacity flow downstream of merge area

•

• What strategies can be used?

What strategies can be used?

–

– Fixed time versus traffic responsive (ALINEA)Fixed time versus traffic responsive (ALINEA)

•

• Where is MTMC applied, and how effective is it?

Where is MTMC applied, and how effective is it?

–

– Paris A6 west - BP, simulation using METACORParis A6 west - BP, simulation using METACOR

–

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Motorway-to-Motorway Control

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Motorway-to-Motorway Control

Scenario_7: MTMC A6a/BPI + BPI & A6W on-ramps

0 50 100 150 200 250 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 Temps(h:mn) TTS (vh.h) A6a BPI ALINEA No Control

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Motorway-to-Motorway Control

•

• Conclusions:

Conclusions:

–

– MTMC is a valuable tool for traffic control: reducesMTMC is a valuable tool for traffic control: reduces recurrent congestion and increases mean speed on

recurrent congestion and increases mean speed on

motorway

–

– Simulation results for A6W:Simulation results for A6W:

TTS -15% on A6W, -12% on BPI, no change for A6a

–

– Signal lights more effective than barrier (5% TTS)Signal lights more effective than barrier (5% TTS)

–

– METACOR powerful tool for evaluation MTMCMETACOR powerful tool for evaluation MTMC

–