Panagiotis Georgiadis / 14 Jul 2016 19:56

ITS Domain(s):
Smart vehicles


Cooperative Mobility Systems and Services for Energy Efficiency
Challenges addressed
  • Smart vehicles

Results/Lessons Learnt

This project has created an integrated solution for road transport energy efficiency to help drivers, freight and road operators:

  • Save unnecessary kilometres driven (optimised routing)
  • Save fuel (eco-driving support)
  • Manage traffic more efficiently (optimised network management

The project’s core concept is that there is a theoretical minimum energy consumption achievable with the “perfect eco-driver” travelling through the “perfectly eco-managed” road network.

The eCoMove concept rests on the idea that, for a given trip by a particular driver in a particular vehicle, there is some theoretical least possible fuel consumption that could be achieved by the “perfect eco-driver” travelling through the “perfectly eco-managed” road network. In reality, both drivers and traffic management systems fall short of this ideal, and much fuel is wasted and CO2 emitted unnecessarily. The eCoMove innovations will target the two sources of this avoidable fuel consumption.

Separate sub-projects respectively develop solutions for eco-driving support for car drivers, and for both eco-driving support for trucks and eco-freight and logistics management. A third sub-project develops applications for cooperative eco-traffic management and control. A core technologies integration sub-project both ensures strong technical coordination across the IP and develops common core technologies. An assessment sub-project validates the performance and effectiveness of all applications in a number of urban, non-urban and motorway environments. Key objectives of eCoMove innovation are to develop and validate the following applications:

- a self-learning ecoSmartDriving “virtual coach” and assistant that uses information based V2V information, infrastructure information, etc.

- a dynamic ecoPreTrip planning tool and an on-trip ecoGreenRouting application to select the lowest-energy route, using information from V2V and V2I.

- a learning ecoDriverCoachingSystem to advise and motivate a commercial vehicle driver

- a cooperative ecoLogistics concept combining driver and vehicle management with optimised routing and individualised on-route traffic control

- a self-learning ecoAdaptive Balancing & Control system that minimises fuel consumption in a large area urban network by a combination of strategic routing and smooth traffic control based on a network wide predictive energy-use model

- a cooperative Fuel-efficient Motorway system that combines pro-active traffic calming measures with smooth merging at network bottlenecks.

These important eCoMove innovations are enabled by the use of cooperative information exchange: vehicle fuel consumption data & route destination by the traffic system, the traffic light phase data, speed and route recommendations by the vehicle. 

eCoMove core technologies:

  • eCoMove communication platform will be adapted from the technology developed and validated in the CVIS and SAFESPOT projects, and for the first time be fully integrated to provide support for both V2V and V2I communication, meeting the expected communication requirements of the eCoMove cooperative applications;
  • eCoMove messages will be defined for information exchanges amongst vehicles (V2V), between vehicles and the traffic system and between vehicles and data processing and provision services; these standard messages include an ecoFVD message to describe a vehicle’s progress, its fuel consumption and its destination, as well as an ecoTSD traffic situation data message sent from the traffic system to vehicles in the vicinity;
  • An ecoMap comprising a digital map database enhanced with additional attributes needed for eco-driving support, such as slope, historical speed profile and energy consumption data;
  • A situational operational model to describe, forecast and integrate for a vehicle the current driving situation and the dynamics of nearby vehicles and the traffic control system, as input for an eco-driver assistant application as developed in SP3 and SP4, and a strategic operational model for traffic prediction and traffic strategy assessment taking account of real area-wide energy use and specific energy “hot-spots” 

ecoSmart Driving Assistant

  • An experience-based expert system to provide the principles and detailed contributing factors of eco-driving performance for use continuously during a journey by an in-vehicle eco-driving assistant application by reference to the instantaneous theoretical minimum possible fuel consumption;
  • A self-learning “virtual eco-driving coach” assistant that watches over the driver, his actions, the surrounding traffic and the traffic light status to provide appropriate advice whenever the vehicle’s energy consumption increases too far above the theoretical minimum;

  • An ecoHMI concept that combines audio, visual and haptic elements to give a driver the right information and feedback at the right time and place and in the most effective ways in order to improve his eco-driving performance both momentarily and sustainably in the longer term;

  • An ecoCooperative Horizon in-vehicle platform that combines a static ecoMap enhanced with attributes needed for fuel-efficient route planning with a cooperative electronic horizon that plans a vehicle’s preferred trajectory taking account of known traffic incidents, the vehicle’s environment and information about nearby vehicles’ intentions as communicated by V2V links

  • An eco-trip monitor and recorder that processes a stream of vehicle-based data needed as input for real-time on-board and off-board eco-driving assistance functions and also records these data as a “storyboard” describing energy use factors along every part of the journey, to be used to play back the significant episodes where post-trip coaching would have the greatest benefit to improve the driver’s skills and behaviour

    ecoFreight & Logistics

  • An ecoDriver Coaching System for goods vehicle drivers that applies the eco-driving assistance principles developed in SP3 in combination with an in-vehicle and post-trip motivation, incentive and training package

  • A cooperative ecoFleet Planning & Routing application that combines fleet and city logistics planning with dynamic optimisation of vehicle operating parameters such as speed or acceleration profile and with cooperative traffic management and control, offering selective priority to trucks when following an approved route and time plan as negotiated between fleet and traffic management centres

    ecoTrafficManagement & Control

  • An ecoAdaptive Balancing and Control system for traffic control, improving traffic network energy efficiency through a self-balancing coordination of traffic lights using vehicle-sourced data on real energy consumption to create a strategic-level “energy consumption map” as shown in the following figure and applying energy-optimised local control to help vehicles drive smoothly and avoid unnecessary stops.

  • An ecoAdaptive Traveller Support application to send to drivers information on traffic state, route recommendations and speed profile data needed by on-board driver assistance systems

  • A simulation environment for development of cooperative traffic applications that integrates vehicle communications (V2V, V2I), individual vehicle movements and aggregated traffic flows, and that can model actual test sites used in the project

  • An ecoMotorway Management application combining energy-optimised speed and flow management measures with tools to improve metering and merging assistance at individual vehicle level.

Total budget
Funding instrument
  • FP7
  • EU

Technology readiness level
  • TRL 5 - Technology validated in relevant environment (industrially relevant environment in the case of key enabling technologies)
  • TRL 6 - Technology demonstrated in relevant environment (industrially relevant environment in the case of key enabling technologies)
Start date
End date
78 years
Tags / keywords:
Cooperative Energy-efficient traffic management Freight transport
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