Traffic Flow Estimation based on Deep Learning for Emergency Traffic Management using CCTV Images

07/05/2020
by   Nilani Algiriyage, et al.
0

Emergency Traffic Management (ETM) is one of the main problems in smart urban cities. This paper focuses on selecting an appropriate object detection model for identifying and counting vehicles from closed-circuit television (CCTV) images and then estimating traffic flow as the first step in a broader project. Therefore, a case is selected at one of the busiest roads in Christchurch, New Zealand. Two experiments were conducted in this research; 1) to evaluate the accuracy and speed of three famous object detection models namely faster R-CNN, mask R-CNN and YOLOv3 for the data set, 2) to estimate the traffic flow by counting the number of vehicles in each of the four classes such as car, bus, truck and motorcycle. A simple Region of Interest (ROI) heuristic algorithm is used to classify vehicle movement direction such as “left-lane” and “right-lane”. This paper presents the early results and discusses the next steps.

READ FULL TEXT

page 1

page 3

page 5

page 7

page 8

research
10/05/2022

Vehicle Detection and Counting using Deep Learning based YOLO and Deep SORT Algorithm for Urban Traffic Management System

Vehicle counting is a process to estimate traffic density on roads to as...
research
12/04/2022

A PM2.5 concentration prediction framework with vehicle tracking system: From cause to effect

Air pollution is an emerging problem that needs to be solved especially ...
research
04/20/2020

IoT Based Traffic Management System for Ambulances

Lack of efficient traffic control can lead to the loss of thousands of l...
research
01/18/2019

Embedded CNN based vehicle classification and counting in non-laned road traffic

Classifying and counting vehicles in road traffic has numerous applicati...
research
03/12/2023

A Monkey Swing Counting Algorithm Based on Object Detection

This paper focuses on proposing a deep learning-based monkey swing count...
research
02/14/2020

Simulation Pipeline for Traffic Evacuation in Urban Areas and Emergency Traffic Management Policy Improvements

Traffic evacuation plays a critical role in saving lives in devastating ...
research
08/29/2021

Airplane Type Identification Based on Mask RCNN and Drone Images

For dealing with traffic bottlenecks at airports, aircraft object detect...

Please sign up or login with your details

Forgot password? Click here to reset