Javascript must be enabled to continue!
The Mapping for Relationship between Road Accidents and Traffic Congestion for Expressway Management Decision
View through CrossRef
Traffic congestion and road accidents are part of the major transportation problems across the globe. In a developing country like Malaysia, traffic congestion and road accidents are among serious problem that have impacted many sectors namely economic and social sectors. In this study, the relation between traffic congestion and road accidents is explored based on data collected from main expressway in Klang Valley. The objective of this study is to identify the locational pattern between traffic congestion and road accidents (if there is) as well as to propose method of data collection that provides the information. Descriptive analysis and Single Factor ANOVA are used to explore and analyse the primary data set of traffic congestion and the secondary data set on road accidents obtained from the selected Expressway. It is found that heavy traffic congestion occurs the most especially during morning peak hours on weekdays. However, road accident happens randomly at various location and time. From the mapping and test done, it shows there is no significant relation between traffic congestion and road accidents, yet some locations are prone to both traffic congestion and road accidents.
INFORMS Korea Chapter (KINFORMS)
Title: The Mapping for Relationship between Road Accidents and Traffic Congestion for Expressway Management Decision
Description:
Traffic congestion and road accidents are part of the major transportation problems across the globe.
In a developing country like Malaysia, traffic congestion and road accidents are among serious problem that have impacted many sectors namely economic and social sectors.
In this study, the relation between traffic congestion and road accidents is explored based on data collected from main expressway in Klang Valley.
The objective of this study is to identify the locational pattern between traffic congestion and road accidents (if there is) as well as to propose method of data collection that provides the information.
Descriptive analysis and Single Factor ANOVA are used to explore and analyse the primary data set of traffic congestion and the secondary data set on road accidents obtained from the selected Expressway.
It is found that heavy traffic congestion occurs the most especially during morning peak hours on weekdays.
However, road accident happens randomly at various location and time.
From the mapping and test done, it shows there is no significant relation between traffic congestion and road accidents, yet some locations are prone to both traffic congestion and road accidents.
Related Results
The Burden of Road Traffic Injuries: A Global Perspective
The Burden of Road Traffic Injuries: A Global Perspective
Introduction Road Traffic Injury (RTI) pose a significant health challenge. It represents the eighth leading cause of death globally, prompting the UN to designate 2011-2020 as...
Research on optimization of traffic management and control measures for expressway emergency based on VISSIM simulation
Research on optimization of traffic management and control measures for expressway emergency based on VISSIM simulation
Abstract
With the continuous enhancement of China’s economic strength, the scale and quantity of expressway construction are constantly improving, and the expressway...
Introduction to Artificial Intelligence in Traffic Systems
Introduction to Artificial Intelligence in Traffic Systems
Traffic management is a pressing challenge in modern societies. The
population of humans is increasing at a substantial pace, and along with that, the
expanse of urban areas and th...
Development of Road Congestion Index Based on Comprehensive Parameters
Development of Road Congestion Index Based on Comprehensive Parameters
Traffic congestion is a normal phenomenon associated with transportation on the road at the same time which is hinder motion and need extra time to reach destinations. Congestion i...
Harnessing Artificial Intelligence for Road Traffic Surveillance: A Comprehensive Overview of AIbased Statistical Models for Traffic Monitoring and Flow Prediction
Harnessing Artificial Intelligence for Road Traffic Surveillance: A Comprehensive Overview of AIbased Statistical Models for Traffic Monitoring and Flow Prediction
AI-based road traffic surveillance has dramatically changed traffic system
monitoring, analytics, and management. Torn between the inefficiencies of traffic
management techniques a...
Traffic safety outcomes of traffic law application and the adoption of new technology in traffic control
Traffic safety outcomes of traffic law application and the adoption of new technology in traffic control
Experience of the State of Qatar
Introduction:
Since the second half of the last decade of the twentieth century, Qatar has witnessed the
implementation of a comprehensive developm...
A congestion prediction method based on trajectory mining algorithm
A congestion prediction method based on trajectory mining algorithm
Abstract
Nowadays, number of private cars is increasing rapidly. Traffic congestion becomes a serious problem in urban region. If traffic congestion can be predicted befo...
Evaluation of traffic management at Futa Northgate, Akure Ondo state, Nigeria
Evaluation of traffic management at Futa Northgate, Akure Ondo state, Nigeria
Due to increasing usage of automobiles, traffic congestion in most cities is becoming an issue and slowing down the day-to-day activities of human and also deteriorating the qualit...

