Final Report Summary - REACT (Realizing Enhanced Safety and Efficiency in European Road Transport)
The REACT project meant to represent a breakthrough towards the long-term vision of reducing traffic deaths significantly and improving transport infrastructure efficiency. Integrating state-of-the-art technologies, REACT would sense natural and infrastructure conditions within and in the vicinity of each equipped vehicle, transmit sensed real-time data to a central server where they would be analysed by a set of sophisticated prediction and decision-making models, and would generate:
1) safety alerts, speed and route recommendations, to be communicated to specific vehicle drivers; and
2) relevant information for road and law enforcement authorities.
The main scientific and technological objectives of the REACT project were:
1) Develop/adapt real time mobile sensors that measure natural and infrastructure conditions such as road friction sensors, visibility sensors and traffic sensors.
2) Develop a method for generating in-car recommendations to the driver based strictly on data from the vehicle's in-car sensors.
3) Develop state-of-the-art secure communication capability: i) Within car communication from sensors to in-car computer and ii) two-way communication between car and central server.
4) Develop/adapt analysis, prediction, and decision-making models in a central server.
The main work items that were performed during reported period of the project were:
1) The system architecture and the communication system were developed: a) The communication system with the vehicles and the traffic management center was designed. b) The in-vehicle telematics system (prototype and pilot) communicating with sensors and collecting information received from distributed sensors was designed.
2) Real time mobile sensors measuring natural and infrastructure conditions were developed: a) The visibility sensor was developed and installed on board the test vehicle and first experiments were carried out. b) The traffic sensor was developed and demonstrated. c) A first version of the friction monitor on dedicated automotive hardware was realized. A prototype of this automotive hardware was firstly built in the REACT project.
3) The decision model for generating in-car recommendations to the driver (advices and warnings) was developed.
4) The prediction, and decision-making models in the central server were developed: a) The accident risk prediction model was realized. b) The Traffic and Route Quality Prediction models were defined and developed. c) The software design of the graphical user interface for monitoring of traffic state, traffic prediction and travel times was carried out. d) The conception of the software integration for the city and highway models were realised. e) The decision logic for the alert and guidance system (Traffic Flow Harmonization and Optimisation) was developed. f) The integration in the cars started and a draft detailed test plan was written.
The expected end results related to the objectives of the first period were the following:
- Real time mobile sensors that measure natural and infrastructure conditions.
- Generated in-car recommendations to the driver based strictly on data from the vehicle's in-car sensors based on a well designed decision-making model.
- Developed state-of-the-art secure within car communication capability from sensors to in-car computer and between the car and the central server (two-way communication).
- Prediction, and decision-making models developed (Natural and infrastructure prediction model, traffic monitoring model, safety risk prediction model, traffic prediction model, decision-making model).
The REACT project could lead in the reduction of traffic fatalities, increasing road transport efficiency, and contributing to greater standardization and harmonization throughout Europe.
1) safety alerts, speed and route recommendations, to be communicated to specific vehicle drivers; and
2) relevant information for road and law enforcement authorities.
The main scientific and technological objectives of the REACT project were:
1) Develop/adapt real time mobile sensors that measure natural and infrastructure conditions such as road friction sensors, visibility sensors and traffic sensors.
2) Develop a method for generating in-car recommendations to the driver based strictly on data from the vehicle's in-car sensors.
3) Develop state-of-the-art secure communication capability: i) Within car communication from sensors to in-car computer and ii) two-way communication between car and central server.
4) Develop/adapt analysis, prediction, and decision-making models in a central server.
The main work items that were performed during reported period of the project were:
1) The system architecture and the communication system were developed: a) The communication system with the vehicles and the traffic management center was designed. b) The in-vehicle telematics system (prototype and pilot) communicating with sensors and collecting information received from distributed sensors was designed.
2) Real time mobile sensors measuring natural and infrastructure conditions were developed: a) The visibility sensor was developed and installed on board the test vehicle and first experiments were carried out. b) The traffic sensor was developed and demonstrated. c) A first version of the friction monitor on dedicated automotive hardware was realized. A prototype of this automotive hardware was firstly built in the REACT project.
3) The decision model for generating in-car recommendations to the driver (advices and warnings) was developed.
4) The prediction, and decision-making models in the central server were developed: a) The accident risk prediction model was realized. b) The Traffic and Route Quality Prediction models were defined and developed. c) The software design of the graphical user interface for monitoring of traffic state, traffic prediction and travel times was carried out. d) The conception of the software integration for the city and highway models were realised. e) The decision logic for the alert and guidance system (Traffic Flow Harmonization and Optimisation) was developed. f) The integration in the cars started and a draft detailed test plan was written.
The expected end results related to the objectives of the first period were the following:
- Real time mobile sensors that measure natural and infrastructure conditions.
- Generated in-car recommendations to the driver based strictly on data from the vehicle's in-car sensors based on a well designed decision-making model.
- Developed state-of-the-art secure within car communication capability from sensors to in-car computer and between the car and the central server (two-way communication).
- Prediction, and decision-making models developed (Natural and infrastructure prediction model, traffic monitoring model, safety risk prediction model, traffic prediction model, decision-making model).
The REACT project could lead in the reduction of traffic fatalities, increasing road transport efficiency, and contributing to greater standardization and harmonization throughout Europe.
