Driver speed compliance following automatic incident detection: Insights from a naturalistic driving study

نویسندگان

چکیده

Automatic incident detection (AID) systems and variable speed limits (VSLs) can reduce crash probability traffic congestion. Studies based on loop detector data have shown that AID decrease the variation in speeds between drivers. Despite impact driver behaviour characteristics, most mathematical models evaluating effect of operations do not capture response realistically. This study examines main factors related to compliance with a sequence three VSLs triggered by an system. For this purpose, limit database executive agency Dutch Ministry Infrastructure Water Management (Rijkswaterstaat) was integrated into UDRIVE naturalistic driving for passenger car collected Netherlands. The video were annotated analyse glance secondary task engagement. A logistic regression model estimated predict after each VSL sequence. results reveal predicting differ which is subjected to. Low accelerations before gantry, approaching slower leader, high proportion time eyes-on-road close consecutive gantries associated first (i.e., indicating 70 km/h flashing attention lights). small number lanes resulted second 50 gantry linked third km/h). Although further investigations larger sample are needed, these findings relevant development human-like assistance simulations assess

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ژورنال

عنوان ژورنال: Accident Analysis & Prevention

سال: 2021

ISSN: ['1879-2057', '0001-4575']

DOI: https://doi.org/10.1016/j.aap.2020.105939