Tailgating behavior analysis of Phahonyothin highway in Thailand | |
| Author | Ulfat, Shahzada |
| Call Number | AIT RSPR no.TE-17-01 |
| Subject(s) | Tailgating (Driving)--Thailand Driver behavior--Thailand Car following Traffic simulation |
| Note | A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering inTransportation Engineering |
| Publisher | Asian Institute of Technology |
| Abstract | Tailgating is a type of aggressive driving behaviors defined as following vehicle with an insufficient following distance. This research aims to identify the tailgating situation and to analyze the significant factors affecting on tailgating-related behaviors. The data is collected from Phahon Yothin Highway in Thailand. The tailgating situation were identified using the time headway and the significant factors affecting on tailgating behaviors were analyzed through a binary logistic regression model to determine the effects of operating speed, traffic volume, rush/non-rush hour, location (urban/non-urban), lanes and vehicle type (passenger car, pickup truck types, van, bus and trailer) on the likelihood of vehicles tailgating.The results from headway analysis determined that on average 41.96% of vehicles were in tailgating situation which the time headway was found less than 2 seconds during rush and non-rush hour along the section of 80 Km of Phahon Yothin Highway. The vehicles with less and equal to 1 second time headway was found 15.94 % which is a serious tailgating situation. Moreover, passenger cars (PC) were on the highest position of tailgating with 22% compared to the rest 7 types of vehicles. The logistic regression model was statistically significant, p < .0005. From the nine predictor (independents) variables only four variables were statistically significant: following PC Vehicles, leading vehicle, Traffic volume and Operating speed. The first most significant factors were PC following vehicle, which the probability odd ratio of tailgating is increased 21.8% by increasing one unit of independent variable PC compared to other vehicles. The second, third and fourth factors were Operating speed, traffic volume and leading vehicle. |
| Year | 2018 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Transportation Engineering (TE) |
| Chairperson(s) | Kunnawee Kanitpong |
| Examination Committee(s) | Surachet Pravinvongvuth;Piyapong Jiwattanakulpaisarn |
| Scholarship Donor(s) | Ministry of Higher Education (MoHE), Afghanistan;Asian Institute of Technology Fellowship |
| Degree | Reserch Studies Project Report (M.Eng.) - Asian Insitute of Technology, 2018 |