Predicting traffic incident duration using deep learning model with real-time data
Traffic accidents have a negative impact on traffic. The prediction of incident clearance time helps to reduce its impact by diverting traffic flow, assisting traffic management organizations in making decisions about appropriate responses and resource allocation and identifying critical factors tha...
Main Author: | Zhang, Ruilin |
---|---|
Other Authors: | Zhu Feng |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/77626 |
Similar Items
-
Predicting the duration and impact of the non-recurring road incidents on the transportation network
by: Ghosh, Banishree
Published: (2019) -
Analysis and prediction of traffic congestion and incident duration in a road network
by: Kalyanaraman Manikandan Jananni
Published: (2018) -
Profile of traffic incidents on Singapore's expressways
by: Lim, Eunice Zhi Ying.
Published: (2009) -
Profile of traffic incidents on Singapore's expressway
by: Ng, Olivia Liting.
Published: (2009) -
Study of traffic incident classification using support vector machine
by: Tan, Jing Mei
Published: (2017)