Research on Highway Intelligent Monitoring and Warning System Based on Wireless Sensor Network

2018 ◽  
Vol 876 ◽  
pp. 173-176 ◽  
Author(s):  
Zhi Guang Guan ◽  
Qiu Hua Miao ◽  
Wen Hui Si ◽  
Jing Lu ◽  
Jie Liang
Keyword(s):  
Information Integration ◽  
Traffic Accidents ◽  
Intelligent Transportation System ◽  
Warning System ◽  
Intelligent Transportation ◽  
Scientific Basis ◽  
Intelligent Monitoring ◽  
Visibility Condition ◽  
Low Visibility ◽  
Information Board

The intelligent monitoring and warning system in highway fog section can realize timely forecast, early warning and information integration in low visibility condition. It can supply the scientific basis to highway decision-making management and technology to establish highway intelligent transportation system. The self-developed intelligent monitoring and warning system includes vehicle detector, camera, variable information board, ZigBee modules and controller EUC. The system can greatly reduce the traffic accidents caused by fog. Result shows that the system has high precision and reliability.

Fog-based Intelligent Transportation System for Traffic Light Optimization

2021 ◽  
Vol 58 (S) ◽  
pp. 29-35
Author(s):  
Muhammad Rusyadi Ramli ◽  
Riesa Krisna Astuti Sakir ◽  
Dong-Seong Kim
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Accidents ◽  
Intelligent Transportation System ◽  
Optimization Problems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Traffic Light ◽  
Traffic Condition ◽  
Dilemma Zone ◽  
Traffic Lights

This paper presents fog-based intelligent transportation systems (ITS) architecture for traffic light optimization. Specifically, each intersection consists of traffic lights equipped with a fog node. The roadside unit (RSU) node is deployed to monitor the traffic condition and transmit it to the fog node. The traffic light center (TLC) is used to collect the traffic condition from the fog nodes of all intersections. In this work, two traffic light optimization problems are addressed where each problem will be processed either on fog node or TLC according to their requirements. First, the high latency for the vehicle to decide the dilemma zone is addressed. In the dilemma zone, the vehicle may hesitate whether to accelerate or decelerate that can lead to traffic accidents if the decision is not taken quickly. This first problem is processed on the fog node since it requires a real-time process to accomplish. Second, the proposed architecture aims each intersection aware of its adjacent traffic condition. Thus, the TLC is used to estimate the total incoming number of vehicles based on the gathered information from all fog nodes of each intersection. The results show that the proposed fog-based ITS architecture has better performance in terms of network latency compared to the existing solution in which relies only on TLC.

scholarly journals Vehicle Number Management using Hbase

2019 ◽  
Vol 8 (4) ◽  
pp. 3382-3388
Keyword(s):  
Traffic Control ◽  
Intelligent Transportation System ◽  
Medical Science ◽  
Real Life ◽  
Intelligent Transportation ◽  
Intelligent Monitoring ◽  
Vehicle Traffic ◽  
Related Information ◽  
Vehicle Information ◽  
Processing Techniques

Intelligent Monitoring and Recording System (IMRS) is being used in many fields like Aviation Traffic control, Transportation, Real Estate, Medical Science and more. One of the IMRS system is Vehicle Traffic on roads. Intelligent Transportation System (ITS) is an important part of IMRS which is used to collect and analyze the statistics related to the Vehicle Traffic. This paper gives an insight of the ITS by using open source tools which are easy to implement. Large datasets of vehicle information has been taken into the experiments of this paper. Utilizing different digital image processing techniques, we have extracted vehicle number from the number plates. Technically, this paper is based on ITS in which two main features has been designed, first is to store Vehicle related information in the Hbase. Another feature is to retrieve the data, on the basis of the vehicle number, from the database giving the details of the vehicle including Road Tax, Insurance and Stolen status and also inform the possessor about the invalidity of Insurance, Registration Certificate (RC) and License. Time and accuracy are two challenges in performing the IMRS in a real life scenario. It has been observed that the proposed system is 27% faster than Automatic Number Plate Recognition (ANPR) on the basis of two comparative parameters i.e. Precision and Recall

Design of a Public Vehicle Tracking Service Using Long-Range (LoRa) and Intelligent Transportation System Architecture

2021 ◽  
Vol 14 (1) ◽  
pp. 147-166
Author(s):  
Ricardo Salazar-Cabrera ◽  
Álvaro Pachón de la Cruz ◽  
Juan Manuel Madrid Molina
Keyword(s):  
Communication Technology ◽  
Public Transport ◽  
Traffic Accidents ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Poor Quality ◽  
Vehicle Tracking ◽  
Lack Of Control ◽  
Transport Vehicle

Public transport vehicles are involved in a high percentage of traffic accidents in intermediate cities, mainly due to speeding and lack of control over their routing. In addition, many passengers of these vehicles report poor quality of service. To try to improve this, the authors propose a system to provide a public transport vehicle tracking service with high quality regarding accessibility, safety, and comfort. They developed an ITS architecture for this type of city following a methodology, they constructed a detailed service diagram using the ITS architecture and quality requirements, and finally, they selected the adequate wireless communication technology for the service. They determined that an IoT-based system, with LoRaWAN technology and considering the developed ITS architecture, provides the service with the required characteristics. They also analyzed the use of the proposed service design in the case of an intermediate Colombian city, determining the required components, network, and budget.

Dedicated Short-Range Wireless Communications for Intelligent Transportation System Applications

2005 ◽  
Vol 1910 (1) ◽  
pp. 29-37 ◽  
Author(s):  
Yu Liu ◽  
François Dion ◽  
Subir Biswas
Keyword(s):  
Wireless Communications ◽  
Short Range ◽  
Traffic Accidents ◽  
Intelligent Transportation System ◽  
Transportation Networks ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Dedicated Short Range Communication ◽  
Wireless Standards ◽  
Potential Use

In efforts to reduce traffic accidents and improve the efficient utilization of existing transportation networks, increasing attention is being given to the use of wireless communications between vehicles and roadside equipment to develop new intelligent transportation system (ITS) applications that can help improve the safety of transportation networks and reduce urban congestion. Of particular interest for the development of such applications are the currently proposed dedicated short-range communication (DSRC) wireless standards. This paper aims to provide transportation researchers and engineers with an introduction to these standards. The paper presents the current mobile wireless communication applications and standards, the various DSRC standards that have been proposed, their potential use in ITS applications, their envisioned implementation benefits, and the remaining research needs.

Research on Intelligent Monitoring and Warning System of Highway Express Fog

2014 ◽  
Vol 602-605 ◽  
pp. 1942-1945 ◽  
Author(s):  
Jie Liang ◽  
Zhi Guang Guan ◽  
Kai Qiang Fan
Keyword(s):  
High Precision ◽  
Traffic Accident ◽  
Warning System ◽  
Intelligent Monitoring ◽  
Inclement Weather ◽  
Disaster Area ◽  
Low Visibility ◽  
Short Time ◽  
Important Significance

Because of the influence of fog and other inclement weather, traffic’s low visibility and the highway’s traffic accident often occurred, which caused very big loss to people's life and property. For the disaster area, there are no ways to access the information and transmit in time, so establishing a system to eliminate the low visibility has a very important significance of random fog, low visibility caused by traffic accident in short time. The result shows that the system has high precision and reliability.

scholarly journals Autonomous vehicles implementation in Lebanon: Opportunities, challenges, and ethical decisions

2019 ◽  
Vol 281 ◽  
pp. 01009
Author(s):  
Elie Otayek ◽  
Rania Wehbe ◽  
Zaher Massaad
Keyword(s):  
Health Economic ◽  
Social Life ◽  
Autonomous Vehicles ◽  
Traffic Accidents ◽  
Intelligent Transportation System ◽  
Autonomous Vehicle ◽  
Intelligent Transportation ◽  
Policy Recommendations ◽  
Artificial Intelligent ◽  
Ethical Decisions

The Autonomous Vehicle (AV) technology allows people to travel without intervening. The quick progress in this technology and the efforts of manufacturers companies to reach fully Autonomous Vehicles (AVs) using artificial intelligent, forecast a bright future. Researches have estimated that on average, one passenger in a vehicle traveling one kilometer in Lebanon costs about $ 48, including externality components of crashes, travel time, congestion and pollution. Thus, the main purpose of this research is to highlight the opportunities of implementing AVs in Lebanon, such as reduction in traffic accidents and congestion, improvement of accessibility, human health, economic and social life. Moreover, this paper highlight the barriers standing in front of implementing this technology, like the missing of Intelligent Transportation System (ITS) and the funds needed for its execution, and gives some policy recommendations. Finally, the authors present their statistics conducted in Lebanon about ethical decisions that AVs should take particularly in case of a crash in different scenarios through the participants’ responses.

Vehicle Vision Robust Detection and Recognition Method

2019 ◽  
Vol 34 (10) ◽  
pp. 2055020
Author(s):  
Yueh-lung Lin ◽  
Conghua Wen
Keyword(s):  
Computer Vision ◽  
Traffic Accidents ◽  
Intelligent Transportation System ◽  
Vehicle Detection ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Intelligent Vehicle ◽  
Semantic Classification ◽  
Robust Detection ◽  
Detection And Recognition

With the rapid growth of the global economy, the global car ownership is also increasing year by year, which has caused a series of problems, the most prominent of which is traffic congestion and traffic accidents. In order to solve the traffic problem, all countries are actively studying the intelligent transportation system, and one of the important research contents of the intelligent transportation system is vehicle detection. Vehicle detection based on vision is to capture vehicle images in the driving environment through a camera, and then use computer vision recognition technology for vehicle detection and recognition. Although computer vision recognition technology has made great progress, how to improve the detection accuracy of the image to be detected is still an important content of visual recognition technology research. Intelligent vehicle visual robust detection and identification of methods of research to reduce the growing incidence of traffic accidents, improve the existing road traffic safety and transportation efficiency, alleviate the degree of driver fatigue problem are of great significance. This paper considers the intelligent vehicle environmental awareness of the key technology to the goal of robust detection and recognition based on machine vision problems for further research. The particle filter is used to extract the local energy of the image to realize the fast segmentation of the region of interest (ROI). In order to further verify the ROI, a measure learning method based on multi-core embedding is proposed, and the semantic classification of ROI is realized by integrating the color, shape and geometric features of ROI. Experimental results show that the algorithm can effectively eliminate false sexy ROI interest, and the algorithm is robust to complex background, illumination changes, perspective changes and other conditions.

Research on Intelligent Monitoring and Warning System of Expressway Fog Based on ZigBee

2014 ◽  
Vol 602-605 ◽  
pp. 1938-1941 ◽  
Author(s):  
Zhi Guang Guan ◽  
Jie Liang ◽  
Kai Qiang Fan
Keyword(s):  
Real Time ◽  
High Precision ◽  
Early Warning ◽  
Traffic Accident ◽  
Warning System ◽  
Real Time Monitoring ◽  
Intelligent Monitoring ◽  
Inclement Weather ◽  
Visibility Condition ◽  
Important Significance

The highway’s traffic accident often occurred because of the influence of fog and other inclement weather, which caused very big loss to people's life and property. Therefore, all-weather real-time monitoring, analysis and effective early warning to the atmosphere along the highway visibility condition has an important significance. In the paper, the intelligent monitoring and warning system of expressway fog is introduced in details. The result shows that the system has high precision and reliability.

A Novel Approach for Data Communication and Safety Concern in VANET Using Cognitive Radio

2017 ◽  
Vol 7 (11) ◽  
pp. 174 ◽  
Author(s):  
Ishu Bansal ◽  
Rajnish Kansal
Keyword(s):  
Routing Protocols ◽  
Intelligent Transportation System ◽  
Safety Concern ◽  
Data Communication ◽  
Intelligent Transportation ◽  
Safety Message ◽  
Novel Approach ◽  
Transmission Of Information ◽  
Minimum Delay ◽  
Road Side Units

VANET is branch of networking that is used for communication in intelligent transportation system. In this process of VANET various nodes are interconnected to each other and road side units. R2R, V2V and V2R communication has been done in VANET. Due to variouscommunications under VANET routing protocols have overhead for computation of shortest path and transmission of information with minimum delay. Delay in the network cause minimum safety. In this paper an approach has been proposed that can be used for transmission of safety message over the network with minimum delay. On the basis of proposed approach safety message can be transmitted in shortest interval of time so that safety can be achieved in the network.

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