• Vaibhav Gahukar
• Shiwani Mahale
• Tushar Kakde
• Kajal Gotmare
• Sourabh Patle

The effect of low visibility on both crash occurrence and severity is a major concern in the traffic safety field. It is known that crashes tend to be more severe in low visibility conditions than under normal clear conditions. Thus, there is a drastic need to evaluate low visibility countermeasures to improve driver safety and performance under reduced visibility conditions. For this reason, the research team investigated the human factors issues relevant to implementing a visibility system on Florida’s highways. Specifically, we designed driver simulator experiments to evaluate how drivers respond to low visibility warning strategies using an in-vehicle warning device. The repeated - measures analysis of variance (ANOVA) models were employed to analyse the impacts of low visibility and fog countermeasures. It was found that the fog warning systems can significantly improve safety. The systems can also reduce drivers’ throttle- release time and make the braking process more smooth. Meanwhile, age effects were observed during the braking process. Old drivers are prone to have harder braking than other drivers. Further research was conducted based on the drivers’ questionnaires. The results showed that drivers thought the head - up display had better effects than warning sounds. Also, drivers’ travel frequency and education levels have significant impacts on their behaviours. Those who drive fewer than five times every week or have higher educational attainment rates (a bachelor’s degree or higher) are more likely to have larger minimum time to collision.

Vehicle , Road Safety, Modelling

"TECHNIQUE OF VEHICLE DETECTION SYSTEM IN FOG FOR ROAD SAFETY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.153-156, May 2020, Available :http://www.jetir.org/papers/JETIREA06032.pdf

"TECHNIQUE OF VEHICLE DETECTION SYSTEM IN FOG FOR ROAD SAFETY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp153-156, May 2020, Available at : http://www.jetir.org/papers/JETIREA06032.pdf