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Investigation of contributing factors regarding wrong-way driving on freeways.

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English


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  • Abstract:
    In Illinois, there were 217 wrong-way crashes on freeways from 2004 to 2009, resulting in 44 killed and ; 248 injured. This research project sought to determine the contributing factors to wrong-way crashes on ; freeways and to develop promising, cost-conscious countermeasures to reduce these driving errors and their ; related crashes. A thorough literature review was conducted to summarize the best practices on design, safety, ; and operational issues related to wrong-way driving on freeways by different states in the United States and ; abroad. Six-year crash data from the Illinois Department of Transportation were then collected for identifying ; wrong-way crashes. Out of 632 possible wrong-way crashes identified from the crash database, the 217 actual ; wrong-way crashes were verified by reviewing hard copies of those crash reports. General statistical ; characteristics of wrong-way crashes were analyzed, and the findings suggested that a large proportion of ; wrong-way crashes occurred during the weekend from 12 midnight to 5 a.m. Approximately 60% of wrong-way ; drivers were DUI drivers. Of those, more than 50% were confirmed to be impaired by alcohol, 5% were impaired ; by drugs, and more than 3% had been drinking. Causal tables, Haddon matrices, and significance tests were ; used to identify factors that contribute to wrong-way crashes on Illinois freeways. Alcohol impairment, age, ; gender, physical condition, driver’s experience and knowledge, time of day, interchange type, and urban and ; rural areas were found to be significant factors. A new method was developed to rank the high-frequency crash ; locations based on the number of recorded or estimated wrong-way freeway entries. Twelve interchanges were ; identified for field reviews. Site-specific and general countermeasures were identified for future implementation.
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    Filetype[PDF - 5.43 MB]
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    urn:sha256:cab5ac9968a57b1bc8e0d671e0b01621069809efb7365cb897dfcc73b04d0b65
File Language:
English
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