Yong, Ericson and Mohamad Heerwan, Peeie and Abdullah, Zulkifli and Muhammad Izhar, Ishak and Mohd Zamri, Ibrahim and Muhammad Aizzat, Zakaria and Intan Suhana, Mohd Razelan and Ahmad Fakhri, Ab. Nasir and Zulhaidi, Mohd Jawi (2024) Investigation of the Vehicle Driving Trajectory During Turning at Intersectional Roads Using Deep Learning Model. Automotive Experiences (AE), 7 (1). pp. 63-76. ISSN 2615-6636. (Published)
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Abstract
Two-thirds of vehicle accidents in Malaysia occurred at the straight type of roads, followed by intersection-type roads. Despite the deployment of traffic lights on the road, accidents still occur which are caused by illegal maneuvers, speeding or misjudgment of other’s actions. Hence, motivated by the lack of previous research regarding causes of accidents on intersectional roads, this study aims to observe the pattern of the vehicles’ speed and turning angle during the right turn after the traffic stop at the intersection road. To obtain these parameters, video samples of vehicles at two types of intersections were obtained and analyzed via YOLOV7 and DeepSORT. The two road intersections researched are four-legged intersection and three-legged intersection. 153 and 35 vehicle samples were collected from these types of road intersections, respectively. It was observed that 78 and 75 vehicles exit towards the nearest and furthest lanes at four-leg controlled crossings on divided roads. While, at a single-lane to a dual carriageway road intersection, 26 and 9 vehicles exit towards the nearest and furthest lanes, respectively. From the research, 16.52 - 17.53 km/h and 67.57°-73.33° are the most optimal turning speeds and angles respectively for vehicles at four-leg controlled crossings. Whereas 14.48 - 15.51 km/h and 144.77° - 154.403° are the most optimal turning speeds and angles respectively for vehicles at a single-lane to a dual carriageway road intersection.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Vehicle accidents; Intersection roads analysis; Turning behavior; Vehicle trajectory patterns; YOLOV7 |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TS Manufactures |
| Faculty/Division: | Faculty of Civil Engineering Technology Faculty of Computing Faculty of Electrical and Electronic Engineering Technology Faculty of Manufacturing and Mechatronic Engineering Technology Faculty of Mechanical and Automotive Engineering Technology |
| Depositing User: | Miss Amelia Binti Hasan |
| Date Deposited: | 14 May 2024 06:35 |
| Last Modified: | 14 May 2024 06:35 |
| URI: | http://umpir.ump.edu.my/id/eprint/41159 |
| Download Statistic: | View Download Statistics |
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