Each year traffic continues to increase on our highways and byways, so there is a need to better control and manage this increasing mobility and enhance safety. Solutions can be found in a more profound and intense vehicle-to-vehicle and vehicle-to infrastructure interaction. TNO is helping to open up new possibilities for traffic management and cooperative vehicle systems in the form of TISNET.
Effective traffic management requires new state-of-the-art data collection systems that provide traffic indicators - e.g., speed - at a high level of detail using distributed data and models. TNO's TISNET (Traffic Infrastructure Sensor Network) develops intelligent infrastructure systems by means of wireless sensor networks in the road. TISNET can provide information about the position and speed of every individual vehicle without requiring communication with the vehicle. Its distinctive features are vehicle independence, high accuracy, robustness and reliability as well as scalability (by density and size) and real-time monitoring. TISNET applications are complementary to other related developments like car-to-car communication, Floating Car Data and cooperative systems for driving assistance.
The TISNET concept is based on wireless sensor networks of extremely cheap and maintenance free miniature sensors in the tarmac. With a few sensors every square metre, 50% may be dysfunctional without affecting the robustness and reliability of the system. These sensors communicate with the road side units (RSU) via a wireless network and smart algorithms translate the various individual detections into vehicle trajectories. In this case every vehicle is detected the moment it enters the network and can be followed accordingly. Given the high sensor density, several vehicle parameters (presence, speed, lateral position) or road parameters (occupation, traffic jam position) can be determined very accurately. This boosts the information on what is happening on the road. Based on historical data we can also analyse and research the causes and effects of incidents or dangerous traffic situations.
TISNET can help solve a large number of existing problems in respect of identifying vehicles or detecting undesirable or unsafe traffic situations such as incident management and tunnel safety, the use of additional lanes during congestion and dynamic infrastructure guidance. The vehicle trajectory component provides information about the deviation of traffic indicators in time or space and a more detailed picture about the actual traffic circumstances. This enhances congestion management, lane keeping and shockwave control. Finally, data collected by the TISNET system can be used for detailed traffic and travel information, traffic management and driver analysis.