Traffic Safety
Our Aim: Vision Zero
With a wide range of research projects, we at the Institute of Highway Engineering would like to contribute to making the "Vision Zero" - i.e. the reduction of fatalities in road traffic to zero - a reality. However, the initial situation has changed fundamentally within the last decades, for example due to the increasing number of road users, changed demands on individual traffic and networked or automated mobility. Therefore, the currently established methods of road safety work are partly no longer effective in this context. New, preventive methods of safety analysis and concrete approaches to solutions are urgently needed.
New perspectives are offered here, for example, by innovative software solutions for safety analysis and for predicting accident events. Also to be considered is the expansion of traditional predictive possibilities through model-based predictions or traffic modeling.
Our forward-looking approaches also focus on all road users, regardless of the form of mobility they use. Adaptive control of traffic lights and other light signal systems can make a significant contribution to safety and comfort in cars, on bicycles or on foot.
In addition, emergency procedures can continue to be improved. An optimal rescue chain significantly increases the chances of survival for those involved if, despite preventive measures, a traffic accident does occur.
Implementation
Extension of Traffic and Behavior Models
- Distance models
- Lane change models
- Speed selection
Development of safety parameters
- Accident risk assessment
Sample Projects
5URVIVE - 5G-based comprehensive strategy to improve emergency care survival
Impacts of Longer Trucks - Effects of longer trucks on traffic safety and traffic flow at work sites
BAG-Controls - Increased safety in the performance of BAG-Controls
Lighting of Night Construction Sites - Requirements for the lighting of night construction sites on motorways
Bridge Guard - Automatic guidance and control system for bridges with structural deficiencies
DROVA - Development of a drone-based traffic analysis to optimize the use of existing infrastructure by federal highways with evaluation of the suitability for online traffic monitoring
Electronic Detection and Warning System - Electronic Detection and Warning System of False Drivers on Motorways Using Radio Technology
FeGiS+ - Early detection of dangerous areas in traffic
Habituation effects in the use of fluorescent materials
InTraSens - Intelligent Traffic Sensors
MeBeSafe - Measures for Behaving Safely in Traffic
NeMo - New approaches to traffic modeling considering complex geometries and data
SMaRt - Supporting the Man-in-the-loop in Roadtunnel
Risk Assessments - Fundamentals for simulations-based accident risk assessments