News updates
- GOOD ROUTE 6th Newsletter
Sixth newsletter published, 30 January 2009 Inside... - ICT in Transport Logistics International workshop successfully realized!
The international workshop ICT in Transport Logistics, jo... - GOOD ROUTE 5th Newsletter
Fifth newsletter published, 30 September 2008 Insi...
Project Objectives
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 data, 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.
This aim is approached through the following main objectives:
- Critical analysis of dangerous goods accidents, relevant localisation and practices, and the needs of all actors involved in dangerous goods transportation (dangerous goods companies, transporters, drivers, recipient clients, transport infrastructure owners, authorities, etc.), to specify an integrated, cost-efficient, law-abiding, fair and modular system.
- Development of a classification system and ontological framework between dangerous cargo, vehicle types and road infrastructure elements, to automatically permit or re-route specific dangerous good vehicles through specific road infrastructures (i.e. tunnels, long bridges, etc.).
- Development of a collaborative platform, that is able to gather and process in real time vehicle and cargo as well as environmental data (road status, unexpected obstacles, weather conditions, population density) as input to an optimal routing and route guidance system.
- Development of a minimum risk guidance system, that is able to route and re-route dangerous goods vehicles, taking into account individual and societal risk (based upon the collaborative platform based dynamic data), as well as conflict resolution and equity schemes.
- Develop a Control Center algorithm, to oversee the routing and monitoring of all dangerous goods vehicles within a certain geographical area, provide the necessary traffic and environmental data to them and inform in real time their logistic chain for any unscheduled re-routing required.
- Develop an on-board automatic data retrieval and storage system, to monitor key dangerous goods vehicle parameters (actual vs planned route, speed, weight per axle, etc.), able to supply it to local nodes (i.e. police car at toll station or before tunnel/bridge, etc.), for enforcement purposes.
- Develop optimal user interfaces for both the drivers of the dangerous goods vehicle and the control operator, to provide them with appropriate information and/or warning, without causing them workload enhancement or other unnecessary behavioural adaptations.
- Integrate all functions on top of a vehicle prototype and test them in 3 Pilot sites, Europewide, to evaluate their reliability, usability, successfulness, cost-efficiency and thus estimate their potential safety impact and viability.
- 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.