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Lane departure warning


Description
Warning is given to the driver in order to avoid leaving the lane unintentionally. Video image processing is the most important technology. Warnings can be acoustic, visual or haptic.

Impacts
The system should affect especially accidents in which two vehicles collide frontally, a vehicle leaves the road without colliding with another vehicle, and in which two or more vehicles collide laterally. Reductions in both accident number and severity are expected. Current accident reduction estimate is ca 10%.

Studies
Lane departure warning was found to have potential to prevent 6.1% of crashes involving large trucks included in the LTCCS database. The estimates are based on real-world crash data collected in Large Truck Crash Causation Study (LTCCS) which was conducted from 2001 to 2003. The LTCCS study conducted on-scene investigations for real-world crashes and produced a database of 1070 accidents. This data was used to make case by case estimations of the applicability of crash avoidance countermeasures for each crash based on expert knowledge on the analysed systems and their effectiveness in various crash scenarios. Kingsley, K. J. 2009 Evaluating crash avoidance countermeasures using data from FMCS's/NHTSA's large truck accident causation study. Proceedings of the 21st International Technical Conference on the Enhanced Safety of Vehicles Conference (ESV) - International Congress Center Stuttgart, Germany, June 15–18, 2009.
A collision mitigation braking system which is able to collect information about the environment around the vehicle, warn the driver, and perform a braking manouvre could have prevented 17.8% of all accidents involving personal injury in the data sample. The corresponding safety potential of a lateral guidance system consisting of lane keeping assistant and lane change assistant was estimated to be up to 7.3%. It was estimated that a car fleet equipped with both lateral guidance and collision mitigation braking system could have avoided up to 25.1% of all accidents included in the data sample. The results are based on an in-depth analysis of a sample of 2,025 accidents taken from a database maintained by German Insurers Accident Research (UDV). Kuehn, M., Hummel, T and Bende, J. 2009 Benefit estimation of advanced driver assistance systems for cars derived from real-life accidents. Proceedings of the 21st International Technical Conference on the Enhanced Safety of Vehicles Conference (ESV) - International Congress Center Stuttgart, Germany, June 15–18, 2009.
Lane departure warning systems reduce the number of accidents and accident-related congestion. The impact on the CO2 emissions was estimated to be 0.008% in Europe. The impact on the CO2 emissions has been estimated on the basis of safety impact estimates provided by the eIMPACT project and assumptions made by the authors. Klunder G. A, Malone, K., Mak, J., Wilmink, I. R., Schirokoff, A., Sihvola, N., Holmén, C., Berger, A., de Lange, R., Roeterdink, W. and Kosmatopoulos, E. 2009 Impact of Information and Communication Technologies on Energy Efficiency in Road Transport - Final Report. TNO report for the European Commission.
Intelligent vehicles with automatic cruise control and lane departure warning system reduce the number of accidents by 8% save 3% of fuel. When driving with ACC and LDW, emissions were reduced up to 10%. The report is a literature study. The results have been obtained in a Dutch field test. Reinhardt, W. and Kompfner, P. 2007 ICT for Clean & Efficient Mobility Final Report Draft, v6.0, 12-12-2007
The number of unintentional lane crossings decreased with 35 % on secondary roads and on highways because of lane departure warning. Drivers also kept better course to prevent warnings. A field operational test with 20 cars conducted in the Netherlands Alkim, T. P., Bootsma, G., Hoogendoorn, S. P. 2007 Dutch Field Operational Test experience with “the Assisted Driver”, Proceedings of the 14th World Congress on ITS, 9-13 October 2007, Beijing, Peoples' Republic of China.
Lane departure warning system was estimated to reduce the number of single vehicle road departure crashes by 17-19 % and the number of rollover crashes by 17-23 % when applied in large trucks (> 10 000 lbs). The results are based on a 12 months long field operational test involving 22 trucks. Orban, J., Hadden, J., Stark, G. and Brown, V. 2006 Evaluation of the Mack Intelligent Vehicle Initiative Field Operational Test, Final Report
25% reduction in accident number and 25% reduction of accident severity in head-on collisions. 25% reduction in accident number and 15% reduction of accident severity in left-roadway accidents. 60 % reduction in the number of accidents and a 10 % reduction in accident severity for side collisions. Estimates are based on accident statistics assuming a 0.5 sec quicker reaction to lane departure. Abele, J., Kerlen, C., Krueger, S., Baum, H., Geißler, T., Grawenhoff, S., Schneider, J. & Schulz, W.H. 2004 Exploratory Study on the potential socio-economic impact of the introduction of Intelligent Safety Systems in Road Vehicles. SEiSS. VDI/VDE Innovation + Technik GmbH and Institute for Transport Economics at the University of Cologne
Lane departure warning systems installed in heavy goods vehicles would decrease the number of accidents involving heavy goods vehicles by 10% Trial involving 40 professional drivers and 36 heavy duty vehicles. Korse, M. 2003 Results of the trial with the Lane Departure Warning Assistant-system. Rijkswaterstaat 11 September 2003

 

 


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