Skip to main content

IBM and NXP partner on Dutch connected car pilot

The first results of a smarter traffic pilot, conducted in the Dutch city of Eindhoven by IBM and NXP Semiconductors demonstrate how the connected car automatically shares braking, acceleration and location data that can be analysed by the central traffic authority to identify and resolve road network issues, say the companies. “The trial successfully showed that anonymous information from vehicles can be analysed by local traffic authorities to resolve road network issues faster, reduce congestion and impr
February 21, 2013 Read time: 4 mins
The first results of a smarter traffic pilot, conducted in the Dutch city of Eindhoven by 62 IBM and 566 NXP Semiconductors demonstrate how the connected car automatically shares braking, acceleration and location data that can be analysed by the central traffic authority to identify and resolve road network issues, say the companies.

“The trial successfully showed that anonymous information from vehicles can be analysed by local traffic authorities to resolve road network issues faster, reduce congestion and improve traffic flow,” said Ab Oosting, 1816 European Union project manager for the Collaborative Region of Eindhoven SRE. “By receiving the information in real time, road authorities can utilize mobile technologies to immediately deploy emergency response teams and road workers to resolve issues. Traffic centre staff can promptly respond and manage traffic flows away from accidents and dangerous traffic situations.”

The city region of Eindhoven (SRE) is located at the hub of several international transportation routes, where relatively small incidents can have major consequences for the system as a whole. In 2011, approximately 30,000 people were killed in the European Union as a consequence of collisions in traffic. The 1690 European Commission recently adopted an ambitious Road Safety Programme, which aims to cut traffic deaths in Europe between 2011 and 2020 by 50 percent. Intelligent transport solutions (ITS) can help improve European road conditions and safety. The twelve-month trial was designed to provide the regional government with insights to maintain roads, reduce traffic congestion and increase road safety.

With greater connectivity, today’s automobiles generate a vast amount of data that can be used to enhance the driving experience, while improving traffic condition and road safety. For example, with IBM MobileFirst, which combines the power of mobile and cloud-enabled technologies, the same sensors that alert drivers about low tire pressure or broken lights can also automatically provide insight into traffic patterns.

During the trial, IBM, NXP and its partners equipped 200 participating cars with a device containing the NXP telematics chip “ATOP” that gathers relevant data from the central communication system of the car (CAN-bus). Relevant sensor data, that were indicators of potholes or icy roads, were collected in-vehicle and transmitted to the cloud-enabled IBM Smarter Traffic Center.

Using the power of IBM analytics, raw data from the vehicles highlighted 48,000 incidents over a period of six months, from 1.8 billion sensor signals. Incidents included heavy rain, black spots, switching on of hazard lights or fog. The disparate data from thousands of sensors was managed and analyzed through the IBM SmartCloud enterprise service, making it possible to dynamically manage the needed computer capacity, which can vary dramatically depending on whether it is a peak traffic period or an unexpected event occurs.

This information enables road officials to act in near real-time on dangerous road conditions, accidents or growing traffic density. It also informs drivers in the vicinity of an incident through smartphone or built-in navigation device.

For example, a new speed is recommended to a driver based on current weather and road conditions via a mobile application though an in-vehicle navigation system or mobile device, or the location of the closest road assistance vehicle is identified. These aspects were successfully tested in the trial. In the future, a traffic command centre could provide more personalised detours, routes and traffic information to a driver to better avoid congestion.

This pilot is one of several initiatives SRE has begun to improve mobility in the region. In an earlier six-month road pricing trial conducted by the city, IBM and NXP, advanced road pricing technology was successfully used to incentivise drivers to change their driving behavior, reduce road congestion and contributed to a greener environment. Seventy percent of drivers changed their behaviour to avoid rush-hour travel when presented with the right incentives, demonstrating that road pricing systems can have a positive effect on driving habits and help alleviate traffic.

Related Content

  • May 31, 2013
    Data goldmines offer rich pickings
    Astronomical is not too grand a term to describe the current rate of growth in transportation-related data. Massive amounts of traffic related information, such as speed, volume, incidents and weather are being generated every second by road operators and users alike. Big data’ derives its name from the sheer amount and complexity of available raw data. Its potential value is starting to emerge among the intelligent transportation systems community. A gold rush is taking place to capture this value, with da
  • August 23, 2024
    Data is driving force behind TomTom's intelligent traffic management
    The complexities of modern urban life have put unprecedented strain on transportation infrastructure. Traffic congestion, accidents, and inefficient resource allocation are persistent challenges. However, as Frans Keijzer, Bid Manager EMEA and APAC at TomTom Enterprise explains, a powerful tool has emerged to reshape the way we manage our roads: big data.
  • January 17, 2013
    Predictive analytics aid Cologne’s congestion management
    The City of Cologne, Germany, and IBM have completed a smarter traffic pilot to predict and manage traffic flow and road congestion in the city. The pilot demonstrates how the city of Cologne can anticipate, better manage, and in many cases, avoid traffic jams and trouble spots across the city using analytics technology. Germany’s fourth largest city, Cologne has a population of just over one million, is a retail centre, hub for trade shows and a cultural center with many museums and galleries. The increas
  • February 3, 2012
    Detection analysis technology successfully predicts traffic flows
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -