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

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.

2014 ◽  
Vol 602-605 ◽  
pp. 1938-1941 ◽  
Author(s):  
Zhi Guang Guan ◽  
Jie Liang ◽  
Kai Qiang Fan

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.


2018 ◽  
Vol 876 ◽  
pp. 173-176 ◽  
Author(s):  
Zhi Guang Guan ◽  
Qiu Hua Miao ◽  
Wen Hui Si ◽  
Jing Lu ◽  
Jie Liang

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.


2015 ◽  
Vol 27 (6) ◽  
pp. 610-616 ◽  
Author(s):  
Hidehisa Yoshida ◽  
◽  
Manabu Omae ◽  
Takahiro Wada ◽  
◽  
...  

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00270006/02.jpg"" width=""300"" /> Intelligent vehicle technologies</div>Autonomous driving has attracted attention in recent years from the viewpoint of energy consumption and traffic accident prevention; hence, its introduction has been desired. In Japan, various accident prevention safety technologies were developed for cooperative control between the driver and the vehicle system. For example, “adaptive cruise control system” and “lane departure warning system” were developed in the 1990s and “lane keeping assist system” and “braking control device for reducing collision damage” in the early stages of the 2000s. Later in Europe, autonomous driving systems were actively studied, and an automated braking system to avoid collisions was introduced in the market in the second half of the 2000s. Studies and development have been promoted for the practical use of active safety technologies based on autonomous driving technologies. Autonomous driving technologies could be applied to various cases, such as convoy travelling to compensate for the insufficient number of professional drivers or to improve their work environment, last-one-mile travelling from a public transportation station to home for the elderly, people who have children and people who need assistance, dead-man system for sudden illness of the driver, and automated parking for assisting the driver who is not good at it, or for the parking space to be effectively used. In this paper, an overview of the transition and history of vehicular technologies for safety and reliability is given. In particular, active safety technologies for traffic accident prevention and the necessary related technology trend are reviewed, and future problems are pointed out.


Author(s):  
yumei tang ◽  
kefu liu ◽  
haixing sun

To realize precise control of the quantum dots (Qdots) device, multi-channel precision bias source plays the key role. In this paper, the 16-channel high precision bias source with 18-bit resolution for Qdots device was designed. The prototype was made and its performance was tested. The short time fluctuations can reach 50μV. The step response time is less than 3μs. The resolution, stability, linearity and dynamic range of the bias source exhibits good performance. What's more, the bias source can be controlled locally and online. The results show that it is one effective and feasible topology for experiments in Qdots device application.


Information ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 37
Author(s):  
Farouk Mezghani ◽  
Nathalie Mitton

Disaster scenarios are particularly catastrophic in urban environments, which are very densely populated in many cases. Disasters not only endanger the life of people, but also affect the existing communication infrastructures. In fact, such an infrastructure could be completely destroyed or damaged; even when it continues working, it suffers from high access demand to its limited resources within a short period of time. This work evaluates the performances of smartphones and leverages the ubiquitous presence of mobile devices in urban scenarios to assist search and rescue activities following a disaster. Specifically, it proposes a collaborative protocol that opportunistically organizes mobile devices in multiple tiers by targeting a fair energy consumption in the whole network. Moreover, it introduces a data collection scheme that employs drones to scan the disaster area and to visit mobile devices and collect their data in a short time. Simulation results in realistic settings show that the proposed solution balances the energy consumption in the network by means of efficient drone routes and smart self-organization, thereby effectively assisting search and rescue operations.


2020 ◽  
Vol 21 (4) ◽  
pp. 242-248
Author(s):  
Do Quang Thong

Modern air targets are characterized by low visibility, high maneuverability and high survivability. In addition, for some specific targets, for instance ballistic missiles, in order to defeat them the missile need tobe guided and carried out direct hit, i.e. "hit to kill". Therefore, in this paper, we present a high-precision missile homing system (MHS) using the proportional guidance method for firing at the highly maneuverable targets. Specifically, we propose a parametric optimization method for choosing a set of optimal parameters of the missile homing system for each dynamic parameter set of the missile. In addition, the paper gives the recommendations of choosing the initial conditions for the synthesis of missile homing system. In our experience, we should choose the small initial condition for synthesizing the missile homing system. Finally, the article also investigates the influence of systematic error in determining the speed, normal acceleration of missiles and the angular velocity of the line of sight of the missile and target on the accuracy of the missile homing system. We implement the proposed missile homing system and the parametric optimization method in Matlab. The experimental results illustrate that, using proposed system and the parametric optimization method, the missile can defeat the modern air targets with low visibility, high maneuverability and high survivability. 


Atmosphere ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 170 ◽  
Author(s):  
Andreas Matzarakis ◽  
Gudrun Laschewski ◽  
Stefan Muthers

During intense heat episodes, the human population suffers from an increased morbidity and mortality. In order to minimize such negative health impacts, the general public and the public health authorities are informed and warned by means of an advanced procedure known as a “heat health warning system” (HHWS). It is aimed at triggering interventions and at taking preventive measures. The HHWS in Germany has been in operation since 2005. The present work is aimed at showing the updated structure of an advanced HHWS that has been developed further several times during its 15 years of operation. This is to impart knowledge to practitioners about the concept of the system. In Germany, dangerous heat episodes are predicted on the basis of the numerical weather forecast. The perceived temperature as an appropriate thermal index is calculated and used to assess the levels of heat stress. The thermo-physiologically based procedure contains variable thresholds taking into account the short time acclimatization of the people. The forecast system further comprises the nocturnal indoor conditions, the specific characteristics of the elderly population, and the elevation of a region. The heat warnings are automatically generated, but they are published with possible adjustments and a compulsory confirmation by the biometeorology forecaster. Preliminary studies indicate a reduction in the heat related outcomes. In addition, the extensive duration of the strongest heat wave in summer 2018, which lasted three weeks, highlights the necessity of the HHWS to protect human health and life.


2013 ◽  
Vol 405-408 ◽  
pp. 2000-2005
Author(s):  
Chi Yu Jiao ◽  
Zhe Sun

China is a seismic country, which not only has its own features of high intensity and frequency but also has a wide range of distribution .The bridge, as the transportation hub engineering of lifeline,will endanger people's safety of life and cause huge economic losses ,and meanwhile hinder the relief and reconstruction in disaster area once damaged in the earthquake. Based on the documents of bridge seismic reinforcement methods from home and abroad, a preliminary research and analysis are conducted and the basic structure of the form and corresponding seismic reinforcement methods of the current city bridge are summarized, moreover, the preliminary induction and analysis are also carried on.The study will have important significance to existing bridge seismic reinforcement methods , as well to the reasonable seismic design and seismic construction measures of the newly built bridge.


2014 ◽  
Vol 955-959 ◽  
pp. 1462-1465
Author(s):  
Li Du ◽  
Tao Chen

The quantitative analysis to the real and the complex system in high precision has very important significance. The premise of quantitative analysis is to quantificat the system. But Due to the limitation of subjective and objective conditions, It is difficult for the quantification of the symtem to meet the requirements of the sampling theorem and then the quantification of large sampling period data inevitably lost a lot of system information, so that it become impossible to precision analyse the system. This paper puts forward the view that: there is the meaning of the general law of causation in the space-time whirl structure and on the basis of this theory the quantitative analysis can have higher accuracy and reliability.


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