Factors affecting lane change crashes

Shawky, Mohamed;

Abstract


This study aims to investigate the contributing factors affecting the occurrence of crashes while lane-changing maneuvers of drivers. Two different data sets were used from the same drivers' population. The first data set was collected from the traffic police crash reports and the second data set was collected through a questionnaire survey that was conducted among 429 drivers. Two different logistic regression models were developed by employing the two sets of the collected data. The results of the crash occurrence model showed that the drivers' factors (gender, nationality and years of experience in driving), location and surrounding condition factors (non-junction locations, light and road surface conditions) and roads feature (road type, number of lanes and speed limit value) are the significant variables that affected the occurrence of lane-change crashes. About 57.2% of the survey responders committed that different sources of distractions were the main reason for their sudden or unsafe lane change including 21.2% was due to mobile usage. The drivers' behavior model results showed that drivers who did sudden lane change are more likely to be involved in traffic crashes with 2.53 times than others. The drivers who look towards the side mirrors and who look out the windows before lane-change intention have less probability to be involved in crashes by 4.61 and 3.85 times than others, respectively. Another interesting finding is that drivers who reported that they received enough training about safe lane change maneuvering during issuing the driving licenses are less likely to be involved in crashes by 2.06 times than other drivers.


Other data

Title Factors affecting lane change crashes
Authors Shawky, Mohamed 
Keywords Blind spot | Drivers' behavior questionnaire | Lane change | Logistic regression model | Traffic crashes
Issue Date 1-Jul-2020
Publisher ELSEVIER SCI LTD
Journal IATSS Research 
ISSN 03861112
DOI 10.1016/j.iatssr.2019.12.002
Scopus ID 2-s2.0-85077714847
Web of science ID WOS:000551468900008

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