Ukkusuri, S. V., Gkritza, K., Qian, X., & Sadri, A. M. (2016). Best practices for maximizing driver attention to work zone warning signs (Report No. FHWA/IN/JTRP-2016/15). Purdue University. Joint Transportation Research Program. https://rosap.ntl.bts.gov/view/dot/31859
Ukkusuri, Satish V., Konstantina Gkritza, Xinwu Qian, and Arif Mohaimin Sadri. Best practices for maximizing driver attention to work zone warning signs. Report no. FHWA/IN/JTRP-2016/15. Purdue University. Joint Transportation Research Program, 2016. https://rosap.ntl.bts.gov/view/dot/31859.
Ukkusuri, Satish V., et al. Best practices for maximizing driver attention to work zone warning signs. Purdue University. Joint Transportation Research Program, 2016, Report no. FHWA/IN/JTRP-2016/15, ROSA P. https://rosap.ntl.bts.gov/view/dot/31859.
Studies have shown that rear-end crashes in the advance warning area for a work zone are the most common type of work zone crashes. Driver inattention (or distraction) is reported as the most common issue and a major contributing factor to those types of crashes. As such, there is a need to identify the technologies that are successful in alerting drivers when approaching work zones.
Ukkusuri, S. V., Gkritza, K., Qian, X., & Sadri, A. M. (2016). Best practices for maximizing driver attention to work zone warning signs (Report No. FHWA/IN/JTRP-2016/15). Purdue University. Joint Transportation Research Program. https://rosap.ntl.bts.gov/view/dot/31859
Ukkusuri, Satish V., Konstantina Gkritza, Xinwu Qian, and Arif Mohaimin Sadri. Best practices for maximizing driver attention to work zone warning signs. Report no. FHWA/IN/JTRP-2016/15. Purdue University. Joint Transportation Research Program, 2016. https://rosap.ntl.bts.gov/view/dot/31859.
Ukkusuri, Satish V., et al. Best practices for maximizing driver attention to work zone warning signs. Purdue University. Joint Transportation Research Program, 2016, Report no. FHWA/IN/JTRP-2016/15, ROSA P. https://rosap.ntl.bts.gov/view/dot/31859.
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