Our work


WILLWARN is a sub-project in the PReVENT Integrated Project. PReVENT envisions the early availability of advanced, next generation preventive and active safety applications and enabling technologies and an accelerated deployment on European roads.

The goal of traffic simulations to be carried out by TNO is to assess the potential traffic impact of Wireless Local Danger Warning (WILLWARN).

Examples of traffic impacts to be measured are:

  • Traffic throughput;
  • Safety;
  • Connectivity.

An essential question during the development and deployment of the WILLWARN system is: how can we design the system such that effectiveness is maximized? Clearly, an inter-vehicle communication system only works if there are other equipped vehicles within range. The effectiveness of a local, self-organized communication network depends on both characteristics of the network, the percentage of WILLWARN-equipped vehicles and the protocols chosen for communication.

The work described in this section investigates the effectiveness of the system given a network. Specifically:

  • What is the penetration rate necessary to achieve a given effectiveness?
  • How effective are the proposed communication protocols? How does each of these methods work? What does the effectiveness depend on?
  • What are the possible driver reactions? Drivers may react to the hazard information in different ways. The reaction can depend on the proximity to the hazard and the type of driver. The reactions can include the choice of a different route, a lane change, a speed reduction, braking, or no reaction at all.
  • What are the effects on traffic? Traffic effects include safety, throughput on the network, travel times, congestion levels, etc.

In order to answer these questions, TNO will contribute to the evaluation of the WILLWARN system by simulating appropriate scenarios. TNO will make use of its ITS Modeller, an environment that provides the ability to model intelligent roads and vehicles to predict their effects on throughput, safety, noise and emissions. 

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