Title: Recognition of the traffic conditions with onboard sensors

Authors: Jian Chen, Ahmed Benmimoun

Addresses: Institut fur Kraftfahrzeuge Aachen (IKA), RWTH Aachen, Steinbachstr. 7, 52072 Aachen, Germany. ' Institut fur Kraftfahrzeuge Aachen (IKA), RWTH Aachen, Steinbachstr. 7, 52072 Aachen, Germany

Abstract: Real time recognition of traffic conditions could be applied as the basis for diverse driver assistance systems to adapt driving strategy. In this paper, different conditions in highway traffic are defined and recognised by an algorithm working with only vehicle onboard sensors. This algorithm is firstly developed and validated in the traffic simulation programme PELOPS and then implemented in an experimental vehicle. Simulation and real road tests show that this algorithm is capable of recognising diverse traffic conditions precisely.

Keywords: advanced driver assistance systems; onboard sensors; PELOPS; traffic conditions; traffic density; traffic quality; traffic simulation; traffic volume; vehicle information; vehicle sensors.

DOI: 10.1504/IJVICS.2008.022361

International Journal of Vehicle Information and Communication Systems, 2008 Vol.1 No.3/4, pp.320 - 333

Published online: 02 Jan 2009 *

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