Vision and motivation Energy eCoMove Solutions Wasted energy due to - PDF document

Vision and motivation Energy eCoMove Solutions Wasted energy due to : - Inefficient deceleration - Wrong gear & engine speed eCoMove benefit - Excessive speed, acceleration - Poor anticipation ecoSmartDriving - Congestion - Poorly synchronised signals ecoFreight & Logistics - Choice of inefficient route ecoTrafficManagement + Control Residual wasted energy - Lack of know-how, motivation ~ Energy consumption of gy p ~ ~ ~ Energy consumption of gy p ~ ~ ~ ~ “perfect eco-driver” “perfect eco-driver” Situation today The future Time Research questions 1. To what extent can eCoMove solutions decrease fuel consumption / CO 2 emissions of vehicle/fleet/network with cooperative technologies ? 2. How can eCoMove sustainably change the behaviour of 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)? Our challenge as a project: to have all sectors working towards integrated solutions and standards

Integrated approach for “Green Mobility” Factors eCoMove Integrated Cooperative Systems eCoMove Integrated Cooperative Systems Green Routing inefficient route choice  Optimum route from static & dynamic factors  Map learns from experience excess acceleration/speed ecoSmart Driving Assistant wrong gear/speed choice /  Generate most efficient driving strategy  Dynamic driving advice via HMI inefficient deceleration eCoMove Post Trip Driving Analysis  Feedback from “Virtual Trainer” savings target = 20% improvement not sustained  Long-term coaching strategy of total energy use Measures for Freight lack of motivation  eco logistics planning  Training and eco bonus scheme Adaptive Balancing & Control too many stops  Balanced priority control  eco green wave  eco route distribution non-optimised signals eco Motorway Management unstable flow, speed too high  Speed and headway control  Prioritised ramp metering congestion congestion  eco merging assistant i i t t R Residual wasted energy id l t d ecoTraveller support Theoretical minimum Theoretical minimum  Fuel consumption and emission prediction  eco strategy model fuel consumption for ~ fuel consumption for specific ~ ~ ~ specific vehicle, driver vehicle, driver eCoMove Solutions and journey and journey Situation today The future 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 S d d i i t k • Inefficient routing (due to unexpected events) – Non-driving tasks • Vehicle condition & (electrical) energy consumers

Cooperative data exchange as enabler Project Structure SP1 SP1 WP 1.1 WP 1.1 WP 1.2 WP 1.2 Dissemination & Dissemination & IP Coordination IP Coordination SP1 - IP Coordination and Dissemination SP1 IP Coordination and Dissemination Exploitation Exploitation Exploitation Exploitation Cooperative Mobility Systems and Services for Cooperative Mobility Systems and Services for Energy Efficiency Energy Efficiency WP 2 WP 2 WP 6.5 WP 6.5 WP 6.5 Use Cases & Use Cases & SP2 - Core Technology Integration Proof of Concept Proof of Concept Proof of Concept Requirements Requirements Validate requirements Validate requirements WP 3 WP 3 WP 6.4 WP 6.4 WP 6.4 Architecture & Architecture & SP4 SP5 SP2 SP2 SP3 Impact Assessment Impact Assessment Impact Assessment Specifications Specifications ecoFreight ecoTraffic ecoSmart and Management Driving SP3 SP3 WP 4 WP 4 Logistics and Control WP 6.3 WP 6.3 WP 6.3 SP6 SP6 Technical Technical Field Trials Field Trials Field Trials Development Development & Validation & Validation & Validation SP4 SP4 SP6 - Validation and Evaluation SP6 Validation and Evaluation WP 5 WP 5 WP 5 WP 5 Integration & Integration & SP5 SP5 Verification Verification

Development flow WP3 WP3 WP4: Technical Development WP4: Technical Development WP5 WP5 WP6 WP6 WP2 WP2 Core technologies Core technologies SP2 SP2 Requiremen Architectur Verificatio Validation In-car applications In-car applications SP3 SP3 In-truck applications In-truck applications SP4 SP4 nts n re n Infrastructure applications Infrastructure applications SP5 SP5 SP6 SP6 Main activities • 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) 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 meas res (SP5) measures (SP5) • Test and validate eCoMove system (SP6) – In 5 field trials and simulation environment – User acceptance and cost-benefit analysis

Core Technologies (SP2) • Communication platform adapted from technology developed and validated in the CVIS and SAFESPOT EU projects, and for the first time fully integrated to provide support for both V2V and V2I communication fully integrated to provide support for both V2V and V2I communication, meeting the expected communication requirements of the eCoMove applications • ecoMessages defined for information exchange de ed o o at o e c a ge amongst vehicles (V2V), between vehicles and traffic system (V2I) and between vehicles and data processing and provision services; these standard messages include an ecoFVD message describing vehicle’s progress, fuel consumption and destination, as well as an ecoTSD message about traffic situation sent from the traffic system to vehicles in the vicinity Communication facilities in eCoMove • Compliant with ETSI ITS architecture • Connection factory based on Java MIDP and OSGi • Connection factory based on Java MIDP and OSGi • Applications can be written independent of lower layers transport/networking/media properties • Identical API supported by platforms from NEC and Q- Free and Peek • Support for – IEEE802.11p with ETSI g5 profile – GeoNetworking, Single Hop Broadcast and Unicast – IPv6 over 3G

ecoMessages • ETSI ITS standards-based • V2X messages for safety and efficiency V2X messages for safety and efficiency – CAM, ECOCAM, VPM, DENM, SRM • I2V messages for consumption efficiency – SLAM, TSPDM, ITM, TPEGM • Common message for service management (SA) • ETSI PlugTests-proven • ecoMessage OSGi Bundles available ecoMessage OSGi Bundles available • Multiple channels (G5, UDP, HTTP) IPv6 Connectivity • Network Mobility (NEMO) already supported and verified by partners in previous projects (e.g. CVIS, Smartfreight, GeoNet) • For eCoMove trials, on-board and road-side units are connected to the global IPv6 network via the tunneling over IPv4 Internet over UMTS UMTS, without NEMO. ith t NEMO Other IPv6 IPv6 Firewall Firewall Service Internet Internet Centers eCoMove IPv6 eCoMove IPv6 VPN Server VPN Server Application Application DNS server DNS server IPv6 gateway IPv6 gateway Server Server Logical link IPv4 Internet IPv4 Internet IPv4 Internet IPv4 Internet S Service Center i C t Vehicle or Gateway Gateway CCU/router CCU/router VPN VPN Application Server Application Server Road-side unit VPN Client VPN Client Client Client AU1 AU1 AUn AUn host host host host

Core Technologies (SP2) • ecoMAP digital map comprising a static database (e.g. road curvature) enhanced with dynamic attributes (e g curvature) enhanced with dynamic attributes (e.g. traffic light status), including energy consumption data, needed for eco-driving support, green routing and eco trip planning • ecoModels situational (eSiM) & strategic (eStraM) prediction models taking into account real time area wide information regarding driving and traffic conditions as real time area-wide information regarding driving and traffic conditions, as well as energy use to support traffic control strategies for the entire road network and the eco-driver assistant in individual vehicles ecoMap • Spatial map database enabling eCoMove technologies: – static digital map database – additional “ eco ” attributes additional eco attributes – dynamic information along road segments • Present in different eCoMove ITS stations: – Vehicle, Roadside Unit, Traffic Management Centre • Common interface (contained in the Reference Platform as OSGi bundle) for accessing static & dynamic data • API to write dynamic data into the map • API to write dynamic data into the map • AGORA-C and/or OpenLR will be supported • Map maker- independen t data specifications – Implementation from partner map providers