Analysis and forcaset of road safety using big data / Yan Tianyu
With the rapid development of China's economy and the urbanization advancement speeding up unceasingly, the motor vehicle ownership across the country are rapidly expanding and urban road system is also becoming increasingly complex. . Consequently, all kinds of traffic violations and the tra...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
2021
|
| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/14830/1/Yan_Tianyu.jpg http://studentsrepo.um.edu.my/14830/8/tianyu.pdf http://studentsrepo.um.edu.my/14830/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | With the rapid development of China's economy and the urbanization advancement
speeding up unceasingly, the motor vehicle ownership across the country are rapidly
expanding and urban road system is also becoming increasingly complex. . Consequently, all kinds of traffic violations and the traffic safety problem is widespread, and this has created great trouble to majority of the people who wish to travel safely. All
the above have brought great challenges to urban public traffic management. Road
traffic behavior safety has a very serious impact on urban traffic running state. It is
desired for the Department of Traffic Management to predict the occurrence of traffic
accidents before they happen. With the advancement of existing positioning and
communication technology, spatiotemporal data of vehicles can be accurately recorded
and stored in the transportation platform. In this project clustering analysis of
spatiotemporal data of vehicles is carried out through unsupervised learning to obtain
normal and abnormal vehicle trajectories. A safety prediction model is established for
the abnormal vehicle trajectory in the mid-term to effectively promote the application of
big data in road traffic safety management, and put forward relevant strategies and
suggestions to improve the efficiency of road traffic |
|---|