|Type: Field operational test|
|Tested system/service: Intelligent Speed Adaptation|
|Countries: The Netherlands||? test users|
|12 partners||200 vehicles|
|Active from 06/2011 to 12/2012|
|Data catalogue||Tools catalogue|
|Data sets used in this FOT:
||The following tools|
were used in this FOT:
Part of Dutch Program: Brabant In-Car II
The trial has demonstrated the opportunities to improve traffic flow and increase traffic safety. The new technology helps the region of Eindhoven to monitor and report dangerous road conditions in real time and warn drivers in the vicinity to avoid accidents.
Traffic must be seen as a system where individual actions can have major consequences for the system as a whole. Research has shown that small disturbances very quickly lead to full-blown traffic jams. For example, traffic jams often occur when one car breaks firmly, forcing the cars behind to break as well, causing a chain reaction that can impact the entire traffic system. Sudden breaking is often a result of bad road conditions caused by holes, loose stones or ice.
Today automobiles, and the roads they are driving on, are equipped with thousands of sensors. Cars are increasingly connected and create a vast amount of data that can be used to improve traffic conditions and driving experience. For example, currently sensors in cars alert drivers via their dashboard for low tire pressure, broken lights, or engine failures. Also, heavy breaking (ABS), strong acceleration and slippery roads will be registered by these sensors. To monitor traffic density road sensors, mobile phone data and data from navigation devices are already used.
What has been done? The project partners have equipped all participating cars with a device, containing the NXP ATOP chip that gathers relevant data from the central communication system of the car (CAN-bus). This device bundles and translates all relevant car sensor data anonymously before sending it with software from Tass Technology Solutions and via the KPN Mobile Data Network to an IBM Smart Traffic Center, along with GPS location data. IBM uses sophisticated analytics on car data to inform drivers and road authorities about dangerous road conditions, accidents or growing traffic density in real-time. The system reduces the number of accidents; time to clear the roads and related congestion. What is unique about the project is that by using Beijer Automotive technology, we can read these CAN-bus signals from over 90% of all existing cars on the road today.
Benefit for Traffic authorities The anonymous information from the IBM Smart Traffic Center enables local traffic authorities to resolve road network issues (holes in the road, oil on the road, black ice). By receiving the information in real time, road authorities like Rijkswaterstaat can act faster and immediately deploy emergency response teams and road workers to resolve issues. Traffic centres staff can promptly respond and manage traffic flows away from accidents and dangerous roads.
Benefit for Commuters Commuters in the Eindhoven region with a Smartphone or connected navigation device can benefit from the trial by receiving personal information based on their specific location about road conditions in their vicinity. This information from the IBM Smart Traffic Centre will also be available for car navigation systems and Smartphone’s via the new SMART-In-Car App developed by Technolution. The app makes use of Nokia’s Location Based Services Platform. With this App, commuters will be able to get real time notifications about dangerous traffic conditions ahead, slippery roads, accidents and roadwork. Technical University Eindhoven has generated even more use case that can be applied in potential future development of even more advanced apps.
Participation of cab company / fleet owners A large cab company in the Region of Eindhoven, Cibatax, and the ANWB (Road Side Assistance service), have participated in the pilot to better understand how they can improve their quality of service, efficiency and proactively maintain their fleet of vehicles. Almost 200 cars (cabs of Cibatax and service cars of the ANWB) have been equipped with a special on board unit for this project. This unit is connected by Tass Technology Solutions to the IBM Smarter Traffic Center and gives the cab company and ANWB real time information on vehicle data and route data. This helps Cibatax to detect and repair issues, help improve driving patterns of the fleet and individual drivers, increase fuel efficiency and minimise environmental impact. The cab drivers will receive feedback on optimised safety and eco driving. The feedback results from combining several in-car data elements in a sophisticated driving style algorithm of TNO.
- 1 Details of Field Operational Test
- 2 Financing
- 3 Cooperation partners and contact persons
- 4 Applications and equipment
- 5 Methodology
- 6 Sources of information
Details of Field Operational Test
Start date and duration of FOT execution
May 2012 – December 2012
Eindhoven region in The Netherlands
Collect CAN-data from cars with the aim to improve: - maintenance of vehicle fleet (for fleet owners) - driving style (for professional drivers) - knowledge about the status on the roads (for road autorities) - useful in-car advises (for the drivers) This leads to reduced congestion, improved road safety and reduced fuel consumption and car emission.
Smartphone app can display relevant events For example: information about real time traffic, dynamic maximum speed, Fog, heavy rain Drivers of the vehicle fleet involved in this experiment really improved their driving style and fuel consumption.
- Ask for real innovations, not for solving one mobility challenge: this will address the challenge and stimulate real ‘exportable’ innovation. - It’s too much a challenge to ask for real innovative solutions that are expected to be deployed large scale from day one.
• Press interview + article in news paper ‘De Gelderlander’, Nijmegen June 21st , 2012 • Demo on Internet of Things conference Shanghai June 29th, 2012 • Movie on World Cities Summit Singapore July 2nd, 2012 • Automechanika in Frankfurt Sep 11th-16th, 2012 • Business News Radio Amsterdam, Sep 25th, 2012 • Press event Beurs van Berlage, Amsterdam Oct 17th, 2012 • ITS World Congress, Vienna Oct 22nd -26th, 2012 • Spitsmijden, Den Bosch Event Nov 7th, 2012 • Cartes Congress, Paris Nov 6th-9th, 2012 • Singapore marketing event Nov 21st, 2012 • Business News Radio Amsterdam, Nov 30th, 2012 • CESA conference, Paris Dec 4th, 2012 • Automotive app conference, Berlin Dec 4th, 2012 • Traffic Management Symposium, Hoofddorp Dec 12th, 2012 • End event Brabant In-Car II, Helmond Dec 14th, 2012
Summary, type of funding and budget
Cooperation partners and contact persons
- Public Authorities:
- SRE: Samenwerkingsverband regio Eindhoven (Innovation Eindhoven City Region)
- Provincie Noord-Brabant
- Ministry of Infrastructure and the Environment
- Tass Technology solutions
- Beijer Automotive
- Vehicle Manufacturer:
- TU Eindhoven
- Research Institutes:
- Others (specify):
Applications and equipment
Equipment carried by test users
Pre-simulation / Piloting of the FOT
Method for the baseline
Techniques for measurement and data collection
Floating car data: CAN-data and GPS
Recruitment goals and methods
Methods for the liaison with the drivers during the FOT execution
Methods for data analysis, evaluation, synthesis and conclusions
Sources of information
|Contact||Maurice Geraets +|
|Country||The Netherlands +|
|Ended||December 2012 +|
|Is type of||Field operational test +|
|Number of partners||12 +|
|Number of vehicles||200 +|
|Started||June 2011 +|
|Tested system or service||Intelligent Speed Adaptation +|
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