Eco friendly Route Planning

Eco friendly Route Planning The ecompass Approach Christos Zaroliagis Computer Technology Institute & Press Diophantus, Greece 1

ecompass eco friendly urban Multi modal route PlAnning Services for mobile users FP7 288094 Collaborative Project (STREP) 1.11.2011 31.10.2014 2

Main Aims Address high environmental impact of urban mobility (people & goods) New mobility concepts and methodological framework for route planning optimization, regarding: Private cars Fleets of vehicles Multi modal public transportation Deliver innovative tools and services for mobile users to enable eco awareness in urban multi modal dltransportt services to familiar end user mobile devices Etblih Establish new scientific principles i (novel algorithmic i solutions) 3

Objectives Mobilityof of private car drivers Intelligent on board navigation systems that seamlessly provide green route recommendations Mobility of goods through fleets of vehicles Eco aware logistics and fleet management system used by backoff staff and on board systems used by drivers Mobilityof of city dwellers andtourists Advanced web and mobile services facilitating the use of complex urban public transportation networks making green passenger transport more appealing Personalized recommendations for daily sightseeing itineraries 4

Approach Eco aware navigation & fleet management Context aware & personalized public transport route planning 5

Eco aware navigation Private Vehicle NavigationSystem Eco efficient routes through traffic prediction Increased reliability of road traffic input data Robust routes recommendation Increased eco efficiency through traffic load balancing Alternative route recommendations Driving style dependent route recommendations and eco coaching Transfers to public transportation 6

Eco aware fleet management Fleet/logistics Management System Eco aware vehicle route planning Eco friendly routes for fleets of vehicles based on traffic prediction Increased reliability of road traffic input data Recommendation of load balanced vehicle route assignments 7

Context aware & personalized public transport route planning Web andmobileservices for multi modal modal public transport route planning taking into account contextual information various user constraints and optimization criteria Multi modal Public Transportation Route Planning Multi objective OD multi modalmodal public transportation route planning Optimized personalized daily multi modal public transportation routes for tourists 8

Novel end products & services Environmentally- friendly on-board navigator Environmentally-friendly logistics/fleet management system Real-time multimodal public transportation data Multimodal transportation routes optimization logic On-board navigator Optimal multimodal public transportation route Private vehicles Vehicle navigation and fleet management services Fleets of goods or humans transportation vehicles Regular public transportation passenger Tourists that visit sites using public transportation Web and mobile services for optimal multimodal urban mobility route planning 9

Progress so far Use Group Identification, Needs & Requirements Analysis Specification of Use Cases and Priority Application Scenarios Specification of the ecompass System Architecture Pilot Planning New Prospects in Eco friendly vehicle routing and multi modal route planning Market Analysis & Preliminary Exploitation Strategy 10

Fundamental System Model User location Public transport data Traffic data Points of interest Weather and environmental info User behaviour monitoring i data User preferences ecompass system Optimal route Multimodal route planning Personalised Route Recommendations/ Eco-coaching Pre-planning suggestions Park & Drive Traffic prediction Mission information Fleet Management Data Fuel cost data 11

Detailed System Model 12

Use Cases & Pilots ecompass services will be evaluated and validated through specific use scenarios Two pilot tests in the City of Berlin Pilot 1: private cars and fleets of vehicles Pilot 2: citizens/tourists in public transport using road infrastructure elements and vehicle fleets individual car traffic and public transport data 13

Consortium CTI (Computer Technology Institute & Press Diophantus ) Coordinator CERTH (Centre for Research & Technology Hellas) ETHZ (Swiss Federal Institute of Technology) KIT (Karlsruhe Institute of Technology) TomTom (TomTom InternationalB.V.) CT (Client Technology) and UXD (User Experience Design) depts PTV (Planung Transport Verkehr AG) 14

Epilogue ecompass provides a great opportunity towards addressing the high demand, eco friendly urban mobility challenges offering novel end products and services More information about ecompass at http://www.ecompass project.eu project.eu 15