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goodroote


  Objectives  
  • Critical analysis of dangerous goods accidents involved in dangerous goods transportation
• Development of a classification system and ontological framework between dangerous cargo, vehicle types and road infrastructure elements, to automatically re-route specific dangerous good vehicles through specific road infrastructures
• Development of a collaborative platform, that is able to process in real time vehicle and cargo
• Development of a minimum risk guidance system
• Develop a Control Center algorithm, to oversee the routing and monitoring of all dangerous goods vehicles within a certain geographical area
• Develop an on-board automatic data retrieval and storage system, to monitor key
dangerous goods vehicle parameters
• Develop optimal user interfaces for both the drivers of the dangerous goods vehicle and
the control operator
• Integrate all functions on top of a vehicle prototype and test them in 3 Pilot sites,
Europewide
• Involve all key actors in the dangerous goods transportation chain, as well as OEM's and
sensor suppliers; to result to an optimal business strategy for wide and quick diffusion of
the above system.
 


  Consortium  
  - CERTH/ Informatics and Telematics Institute& Hellenic Institute of Transport
- Centro Ricerche Fiat
- IVECO
- Planung Transport Verkehr AG
- SIEMENS S.A
- Universidad Politecnica de Madrid/ Life Supporting Technologies
- Telefonica I+D
- Gotthardstrassentunnel
- Societa Italiana per il Traforo Autostradel del Frejus
- Center of Applied Technologies
- University of Stuttgart
- Institute of Communications and Computer Systems
- Automobile and Touristic Club of Greece
- Finnish Road Enterprise
 
   
  Link  
  www.goodroute-eu.org

 

Several thousands of trucks carrying dangerous goods circulate within European roads on daily basis. They utilise urban roads, rural roads, highways, tunnels and long bridges and in some case they are not allowed in some of them. But the actual accident risk and impact when using secondary roads or other alternative ways is not calculated.

In addition, when due to unforeseen events (traffic jams, accidents, etc.) they need to change route, they do not have any particular guidance on the safest alternative nor are consequences of road choice to the business chain and societal risk calculated. GOOD ROUTE aims to develop a cooperative system for dangerous goods vehicles routing, monitoring, re-routing (in case of need), enforcement and driver support, based upon dynamic, real time date, in order to minimise the Societal Risks related to their movements, whereas still generating the most cost efficient solution for all actors involved in their logistic chain.

For this scope, a new classification scheme of the dangerous goods (according to ADR) with infrastructure based safety measures, context of transportation (i.e. level of loading) and vehicle characteristic, will be performed, dynamic data collection and fusion will be realised from I2V/V2V sources and a series of on-board sensors, risk calculation algorithms will be realised, leading to a new route guidance function, the “minimum risk route guidance”. The system will be integrated with an automatic,local node based, enforcement functionality and tested in 3 Pilots throughout Europe (in Finland, Switzerland and Italy), with emphasis in densely populated areas, tunnels and bridges. In addition, rerouting info and estimated delays will becommunicated to the vehicles logistic chain, thus optimally combining safety with transportation efficiency enhancement.