An automatic multi-class vehicle detection and traffic congestion analysis system
Surveillance cameras are widely installed along roadways, and the numbers are steadily increasing. With widely deployed surveillance cameras that monitor the road conditions, it’s feasible to develop a system to analyse the traffic conditions automatically. The aim of this project is to develop an a...
Saved in:
Main Author: | Huang, Xinwei |
---|---|
Other Authors: | Lap-Pui Chau |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/139471 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Traffic congestion modelling (in collaboration with BMW)
by: Khurana Dhriti
Published: (2016) -
Urban traffic network congestion region identification
by: Soe, Moe Zaw
Published: (2021) -
Time-series AI models for traffic congestion prediction
by: Low, Carina Su Yun
Published: (2022) -
Analysis and prediction of traffic congestion and incident duration in a road network
by: Kalyanaraman Manikandan Jananni
Published: (2018) -
A multimodal simulation of on-demand transportation for a study on traffic congestion
by: Choo, Yaw Feng
Published: (2020)