[PPT] - eCoMove: How to make cooperative systems eco-friendly Isabel PowerPoint Presentation

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www.ecomove-project.eu www.ecomove-project.eu

eCoMove: How to make cooperative systems eco-friendly

Isabel Wilmink, TNO

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eCoMove vision and motivation

The future Situation today

Wasted energy due to:

Inefficient deceleration
Wrong gear & engine speed
Excessive speed, acceleration
Poor anticipation
Congestion
Poorly synchronised signals
Choice of inefficient route
Lack of know-how, motivation

Energy consumption of “perfect eco-driver”

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eCoMove benefit Energy Time

eCoMove Solutions

Energy consumption of “perfect eco-driver” Residual wasted energy

ecoSmartDriving ecoFreight & Logistics ecoTrafficManagement + Control

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Finding the answer: Focus on existing inefficiencies

Pre-trip inefficiencies

– Vehicle condition – Trip planning

On-trip inefficiencies

– Primary driving tasks

Accelerating/decelerating
Gear changing
Idling
Keeping speed
Unnecessary stops

– Secondary driving tasks

Inefficient routing (due to unexpected events)

– Non-driving tasks

Vehicle condition & (electrical) energy consumers

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To develop a combination of cooperative systems and tools using V2V and V2I communication to help:

drivers sustainably eliminate unnecessary fuel

consumption;

fleet managers manage their vehicles more economically

and promote eco-driving through feedback & incentives;

road operators balance traffic flows in the most energy

efficient way.

Project objectives

Target is to reduce up to 20% fuel consumption and therefore CO2 emission

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Research questions

1. To what extent can eCoMove solutions decrease fuel

consumption/CO2 emissions of vehicle/fleet/network with cooperative technologies?

2. How can eCoMove sustainably change the behaviour
f private and professional drivers into a more eco-

friendly driving style?

3. What impact have eCoMove solutions in a cooperative

environment for the traffic system of a city/region/network (smoother flows, congestion avoidance, shorter travel distances and times)?

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Development flow

SP2 SP2 SP3 SP3 SP4 SP4 SP5 SP5

WP2 WP2 WP3 WP3 WP4: Technical Development WP4: Technical Development WP5 WP5

Requirements Architecture

Core technologies Core technologies

Verification

In-car applications In-car applications In-truck applications In-truck applications Infrastructure applications Infrastructure applications WP6

SP6

WP6

SP6

Validation

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Develop eCoMove core technologies (SP2)

– V2V & V2I communication platform based on CVIS & SAFESPOT projects results – Standardised cooperative messages for energy efficiency-relevant information exchange – ecoMap (digital map database enhanced with eco-relevant attributes) – ecoModels to advise optimal driving and traffic control strategies (micro- and macroscopic levels)

Develop eCoMove applications

– ecoSmartDriving applications for fuel-efficient driving behaviour (SP3) – eco Freight & Logistics applications for green freight routing and fuel consumption- optimised logistics (SP4) – ecoTrafficManagement & Control applications for energy-efficient traffic control & management measures (SP5)

Test and validate eCoMove system (SP6)

– In 5 field trials and simulation environment – User acceptance and cost-benefit analysis

Main activities

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ecoTripPlanning (pre trip) application to enable green routing
ecoSmartDriving (on trip) comprising three applications

– dynamic ecoNavigation: integrating information from the traffic centre, infrastructure, ecoMaps, ecoCooperative Horizon – ecoDriving support: dynamic advice to drive with least fuel consumption based

n driving context, traffic, driving tasks and strategies, driver’ driving style, vehicle

typology and fuel usage – ecoInformation: information to tune other vehicle functions to minimise fuel consumption

ecoPostTrip (post trip) driver’s record

used to optimise eco-driving coaching

ecoMonitoring relevant eco floating car

data distributed anonymously to the traffic control centre

ecoSmartDriving applications (SP3)

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in-vehicle Truck ecoNavigation, i.e. most efficient route for trucks
ecoDriver Coaching System for goods vehicle drivers:

– Pre-trip: ecoDriving training system with virtual simulator where the driver experiences the eCoMove system and its use cases – On-trip: real-time eco driving advice on in-vehicle display – Post-trip: fleet management backoffice to analyse trends, give feedback to the drivers, handle incentives

ecoFreight & Logistics (SP4)

cooperative ecoTour Planning taking into account previous

missions

– Find the best combination of vehicle, trailer, route, driver, system configuration based on Mission information, Traffic Management data, Truck & driver models and Routing system – Feedback from previous missions to adapt /optimise the planning & routing system

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ecoAdaptive Balancing & Control

strategies for traffic control, improving traffic network energy efficiency through traffic signal optimisation

ecoTrafficManagement & Control (SP5)

ecoAdaptive Traveller Support to

drivers through information on traffic state, route recommendations and speed profile data needed by on-board assistance systems

ecoMotorway Management combining

energy-optimised flow management on interurban network with ramp metering and merging assistance at vehicle level

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Conduct a study on European level on driver motivation and

behavioural change

Validate that eCoMove technologies, applications and services

meet the functional and non-functional requirements (e.g. data privacy and protection)

Demonstrate that the eCoMove framework supports the

interaction of the applications and services to meet the expectations of all stakeholders

Show that eCoMove technologies, applications and services

enable a more energy efficient land-based transport of passengers and goods

Validation & Evaluation (SP6)

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Assessment concept

Driving simulator studies Field trials

(Munich, Helmond, Torino)

Assessment of the eCoMove system (network simulation of Munich, Helmond & French motorways) eCoMove applications for cars, trucks and traffic management Microscopic traffic network simulation

(Munich, Helmond, French motorways)

Individual assessment of applications using different methods Assessment of the eCoMove system using traffic simulation models and emission

models. Qualitative

assessment of long term effects Integration of findings from field trials and driving simulator studies into the traffic simulation model for subsequent system assessment

Improved driver performance Improved driver performance System assessment Application assessment

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Validation categories & performance indicators

Environment

– fuel consumption, CO2 emissions (in total, per trip or per vehicle per km or tkm), other emissions (CO, NOX)

Mobility

– total/individual travel times, delays, number of stops, network speed, level of service

Driver behaviour

– Safety: times to collision, time headways, variations in speed, # hard braking events, speeding, distraction and workload – Compliance: following advices: on vehicle condition and on strategic, tactical and operational driving – Driver performance: gear changes, acceleration & deceleration performance, speed, idling – User acceptance: system on/off, usefulness, ease of use, satisfaction with the system

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5 test sites with

– Different traffic conditions – Different situations – Different scenarios and possibilities to cover eCoMove use cases

eCoMove test sites

Munich Helmond Motorway A9 Badhoevedorp Torino French Motorways

3 1 2

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Driving simulator studies

Fourstudies planned to cover different

research questions (DLR, TUM, VOLVO, TNO)

Testing different feedback and training

strategies to improve driver performance:

– Gear changes, acceleration & deceleration, compliance rate, HMI design, distraction

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Implementing and testing eCoMove applications in a

controlled environment

_ _ Safety Safety Driver performance Driver performance User acceptance User acceptance Environment Environment Mobility Mobility Compliance Compliance

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Traffic network simulation

VISSIM environments of Munich, Helmond and French

motorways

eCoMove traffic management apps run in real-time mode
Changes in driver performance are modelled based on

findings from field trials and driving simulator studies

Assessing direct and indirect effects:

– total/individual travel times, delays, number of stops, network speed, level of service, – fuel consumption, CO2 emissions (in total, per trip or per vehicle per km

r tkm), other emissions (CO, NOX)

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