Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Traffic Incident Severity Detection Model Based on Catastrophe Theory
View through CrossRef
An expressway traffic incident severity detection model is established in this paper, which can effectively detect the traffic incidents and their severity. By analyzing the relationship between the severity of freeway traffic incidents and the number of lanes, flow, speed and duration of traffic events in the event lane, the following conclusions are drawn: (1) The traffic flow of traffic incident lane and non-traffic incident lane has multi-mode, sudden jump and other abrupt theoretical features When a traffic incident occurs; (2) The severity of traffic accidents controls the degree of sudden and sudden jump of traffic incident lane and non-traffic incident lane. Based on catastrophe theory, this paper proposes a discriminant model of traffic accident severity based on traffic flow velocity and flow rate as independent variables. The measured data of expressway traffic events verifies the effectiveness of the proposed model.
Title: Traffic Incident Severity Detection Model Based on Catastrophe Theory
Description:
An expressway traffic incident severity detection model is established in this paper, which can effectively detect the traffic incidents and their severity.
By analyzing the relationship between the severity of freeway traffic incidents and the number of lanes, flow, speed and duration of traffic events in the event lane, the following conclusions are drawn: (1) The traffic flow of traffic incident lane and non-traffic incident lane has multi-mode, sudden jump and other abrupt theoretical features When a traffic incident occurs; (2) The severity of traffic accidents controls the degree of sudden and sudden jump of traffic incident lane and non-traffic incident lane.
Based on catastrophe theory, this paper proposes a discriminant model of traffic accident severity based on traffic flow velocity and flow rate as independent variables.
The measured data of expressway traffic events verifies the effectiveness of the proposed model.
Related Results
TYPES OF AI ALGORİTHMS USED İN TRAFFİC FLOW PREDİCTİON
TYPES OF AI ALGORİTHMS USED İN TRAFFİC FLOW PREDİCTİON
The increasing complexity of urban transportation systems and the growing volume of vehicles have made traffic congestion a persistent challenge in modern cities. Efficient traffic...
Traffic Prediction in 5G Networks Using Machine Learning
Traffic Prediction in 5G Networks Using Machine Learning
The advent of 5G technology promises a paradigm shift in the realm of
telecommunications, offering unprecedented speeds and connectivity. However, the
...
A Traffic Flow Prediction Method Based on Blockchain and Federated Learning
A Traffic Flow Prediction Method Based on Blockchain and Federated Learning
Abstract
Traffic flow prediction is the an important issue in the field of intelligent transportation, and real-time and accurate traffic flow prediction plays a crucial ro...
Patient Safety Incident Reporting Behaviour and Associated Factor sAmong Nurses Working in Public Hospitals in Addis Ababa, Ethiopia (2024) (Preprint)
Patient Safety Incident Reporting Behaviour and Associated Factor sAmong Nurses Working in Public Hospitals in Addis Ababa, Ethiopia (2024) (Preprint)
BACKGROUND
Background
The health care delivery system is a complicated, by design and prone to errors with many medical practices and risks in the system e...
MODELİNG OF TRAFFİC LİGHT CONTROL SYSTEMS
MODELİNG OF TRAFFİC LİGHT CONTROL SYSTEMS
Traffic light control systems are commonly utilized to monitor and manage the flow of autos across multiple road intersections. Since traffic jams are ubiquitous in daily life, A c...
Smart Ambulance Traffic Control System
Smart Ambulance Traffic Control System
The traffic lights control system is broadly implemented to track and control the flow of vehicles through the intersection of multiple roads. Nevertheless, the synchronization of ...
SMART TRAFFIC MANAGEMENT SYSTEM
SMART TRAFFIC MANAGEMENT SYSTEM
ABSTRACT
In C++, a traffic management system is a software program that simulates and regulates traffic flow. It creates simulations of automobiles, traffic lights, and road inters...
Traffic Prediction and Optimization with Deep Learning based on a Vehicle–Road–Cloud Integration Platform
Traffic Prediction and Optimization with Deep Learning based on a Vehicle–Road–Cloud Integration Platform
Traffic flow prediction and planning control can effectively improve traffic efficiency, which is a current research hotspot. Many existing studies mainly rely on traditional singl...