Ontology Model for Situation Awareness of City Tunnel Traffic

2013 ◽  
Vol 347-350 ◽  
pp. 715-717 ◽  
Author(s):  
Lin Li ◽  
Wei Guo Wu ◽  
Nian Liu
Keyword(s):  
Situation Awareness ◽  
Traffic Safety ◽  
Intelligent Transportation ◽  
Monitoring Systems ◽  
Traffic Network ◽  
Ontology Model ◽  
Transportation Service ◽  
Basic Concepts ◽  
Effectiveness And Efficiency ◽  
Tunnel Monitoring

Networking of city tunnel monitoring systems is an application instance of Internet of Things. Situation awareness of city tunnel traffic is a method of analyzing the traffic safety of city tunnel. This paper studies the ontology model for monitoring tunnel traffic situation. The model reflects the basic concepts and semantic meanings of an integrated traffic network. The situation of the integrated traffic network can be described in standard formats. The use and management of the integrated traffic network is improved. Therefore this model can improve the effectiveness and efficiency of intelligent transportation service.

Research on Safety Vehicle Distance Recognition Based on Stereo Vision and DSP

2013 ◽  
Vol 333-335 ◽  
pp. 805-810 ◽  
Author(s):  
Rong Bao Chen ◽  
Ning Li ◽  
Hua Feng Xiao ◽  
Wei Hou
Keyword(s):  
Stereo Vision ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Intelligent Transportation ◽  
Research Area ◽  
Measurement Range ◽  
Vehicle Speed ◽  
Target Vehicle ◽  
Operation Rate ◽  
The Right

With the development of economy, there are an increasing number of cars as well as traffic accidents, thus intensifying the need to take measures to reduce traffic accidents and protect the safety of life and property. Vehicle distance is one of the most important indexes of traffic safety. The measurement of safety vehicle distance has become an increasingly hot research area of intelligent transportation. Through analyzing the basic principle of stereo vision and calibrating the parameters of the CCD sensors both inside and outside, this paper comes up with a method to measure the former vehicle distance based on stereo vision and DSP. Once the vehicle speed and distance form a non-security association, it will give a warning, and upload data or force speed-limiting. According to the different coordinates of the obtained images of the target vehicle from the left and the right sensor, this method can identify feature points, calculate distance to the target vehicle, and analyze the security of vehicle distance. The experimental results show that this method has wide measurement range, high measurement accuracy, and fast operation rate, thus it can meet the actual needs of the measurement of safe vehicle distance in intelligent transportation.

scholarly journals PARTICULARITIES OF AUTOMATED TRAFFIC CONTROL SYSTEMS IN THE CITIES OF UKRAINE

2013 ◽  
Vol 5 (5) ◽  
pp. 572-577 ◽  
Author(s):  
A. Stepanchuk ◽  
A. Bieliatynskyi ◽  
A. Pylypenko
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Road Traffic ◽  
Traffic Network ◽  
Basic Concepts ◽  
Further Development

The article considers the basic concepts concerningthe possibility of increasing the efficiency and capacity of theroad traffic network in the cities of Ukraine. The paper alsoanalyzes some of the measures to improve road traffic managementthrough the further development of an automated trafficcontrol system.

scholarly journals Deployment Optimization of Connected and Automated Vehicle Lanes with the Safety Benefits on Roadway Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Zhibo Gao ◽  
Zhizhou Wu ◽  
Wei Hao ◽  
Kejun Long
Keyword(s):  
Decision Making ◽  
Traffic Safety ◽  
Programming Model ◽  
Travel Cost ◽  
Heterogeneous Traffic ◽  
Traffic Network ◽  
Traffic Demand ◽  
Automated Vehicle ◽  
Traffic Efficiency ◽  
Upper Level

Reasonable deployment of connected and automated vehicle (CAV) lanes which separating the heterogeneous traffic flow consisting of both CAVs and human-driven vehicles (HVs) can not only improve traffic safety but also greatly improve the overall roadway efficiency. This paper simplified CAV lane deployment plan into the problem of traffic network design and proposed a comprehensive decision-making method for CAV lane deployment plan. Based on the traffic equilibrium theory, this method aims to reduce the travel cost of the traffic network and the management cost of CAV lanes using a bilevel primary-secondary programming model. In addition, the upper level is the decision-making scheme of the lane deployment, while the lower level is the traffic assignment model including CAV and HV modes based on the decision-making scheme of the upper level. After that, a genetic algorithm was designed to solve the model. Finally, a medium-scaled traffic network was selected to verify the effectiveness of the proposed model and algorithm. The case study shows that the proposed method obtained a feasible scheme for lane deployment considering from both the system travel cost and management cost of CAV lanes. In addition, a sensitivity analysis of the market penetration rate of CAVs, traffic demand, and the capacity of CAVLs further proves the applicability of this model, which can achieve better allocation of system resources and also improve the traffic efficiency.

scholarly journals Angle-Awareness Based Joint Cooperative Positioning and Warning for Intelligent Transportation Systems

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5818
Author(s):  
Zhi Dong ◽  
Bobin Yao
Keyword(s):  
Traffic Safety ◽  
Intelligent Transportation Systems ◽  
Estimation Algorithm ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Cooperative Positioning ◽  
Traffic Efficiency ◽  
Sequential Task ◽  
Weighting Strategy ◽  
Eigen Decomposition

In future intelligent vehicle-infrastructure cooperation frameworks, accurate self-positioning is an important prerequisite for better driving environment evaluation (e.g., traffic safety and traffic efficiency). We herein describe a joint cooperative positioning and warning (JCPW) system based on angle information. In this system, we first design the sequential task allocation of cooperative positioning (CP) warning and the related frame format of the positioning packet. With the cooperation of RSUs, multiple groups of the two-dimensional angle-of-departure (AOD) are estimated and then transformed into the vehicle’s positions. Considering the system computational efficiency, a novel AOD estimation algorithm based on a truncated signal subspace is proposed, which can avoid the eigen decomposition and exhaustive spectrum searching; and a distance based weighting strategy is also utilized to fuse multiple independent estimations. Numerical simulations prove that the proposed method can be a better alternative to achieve sub-lane level positioning if considering the accuracy and computational complexity.

Human Factor Issues Associated with Lane Change Collision Avoidance Systems: Effects of Authority, Control, and Ability on Drivers’ Performance and Situation Awareness

2017 ◽  
Vol 61 (1) ◽  
pp. 1634-1638 ◽  
Author(s):  
Husam Muslim ◽  
Makoto Itoh
Keyword(s):  
Human Factors ◽  
Collision Avoidance ◽  
Situation Awareness ◽  
Traffic Safety ◽  
Force Feedback ◽  
Road Traffic ◽  
Warning System ◽  
Lane Change ◽  
Road Traffic Safety ◽  
Automatic Action

In order to improve road traffic safety, increasingly sophisticated and robust collision avoidance systems are being developed. When employed in safety-critical situations, however, the interaction between the human factors and these systems may increase the complexity of the task of driving. Due to these human factors, the ability of the driver to respond to various traffic dangers is considered to be a function of the level of automation, balance of control authority, and the innate ability of the driver. For the purpose of this study, a driving experiment was designed using two types of lane change collision avoidance systems. One was a haptic warning system that provides a steering force feedback to avoid hazardous lane change, and the other, a semi-autonomous system that provides an automatic action to prevent hazardous lane change. While drivers had the final authority over the haptic system, they were unable to override the automatic action. Both systems were examined in three conditions: i) hazard that can be detected only by the system, ii) hazard that can be detected only by the driver, and iii) combined hazards. The different support systems were applied to the different hazards resulting in significant differences in drivers’ reaction time and steering behavior. The drivers’ subjective post-hazard assessments were significantly affected by the type of encountered hazard.

Virtual Automated Transit System (VATS) and Intelligent Transportation Systems (ITS) Application to Intermodal Freight Movements in Northeastern Illinois

2004 ◽  
Author(s):  
Farid Amirouche ◽  
Khurram Mahmudi ◽  
David Zavattero
Keyword(s):  
Traffic Safety ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Easy Access ◽  
State Governments ◽  
Transit System ◽  
Interstate Highway System ◽  
Roadway Design ◽  
Highway System

This paper addresses the issues faced by local and state governments concerning increasing traffic congestions, inadequate roadway design and traffic safety problems caused by the freight truck traffic; on the other hand, the freight industry is seeking to improve productivity by having easy access and direct routes between the intermodal facilities and the interstate highway system.

scholarly journals A Policeless traffic ticketing system with autonomous vehicles

2015 ◽  
Vol 4 (1) ◽  
Author(s):  
Mükremin Özkul ◽  
Ilir Çapuni
Keyword(s):  
Traffic Safety ◽  
Autonomous Vehicles ◽  
Secure Communication ◽  
Preliminary Report ◽  
Detection System ◽  
Monitoring Systems ◽  
Ongoing Research ◽  
Daunting Task ◽  
Traffic Violation ◽  
Traffic Rules

Besides being expensive, traffic violation monitoring systems rely heavily on a huge infrastructure that incurs installation, operational, and maintenance costs. Developing countries — where people do exhibit less traffic safety aware- ness — deployment of such systems becomes a daunting task. A police- men cannot be everywhere, and a policeman can also be bribed. With the above goals in mind, in this paper we present an infrastructure- less and police-less traffic violation detection system that relies solely on the broadcast messages between the vehicles and secure communication of the vehicles with the transportation authority. Each vehicle should be equipped with a small board box (or a smartphone) with a wifi antenna and 3G capability and subscription. The system is highly scalable and can include pedestrians with smartphones. It is active and operational wherever and whenever there are two participants in the range of each other. Each participant has two roles to bear simultaneously. The first one is to report and prove its location to the transportation authority. The second one is to report the presence of other vehicles in the neighborhood to the transportation authority and flag those that disobey the traffic rules acting as trustworthy and anonymous witnesses. This is a preliminary report on a still ongoing research project.

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