Signal Lamp Research Articles

Design of Signal Lamp Filament Monitoring Alarm Instrument

To improve the reliability of the light emitting diode (LED) signal lamp filament current monitoring alarm instrument for metro systems, a new type of hot standby online monitoring apparatus was developed which is based on synchronous transmission data (STD) bus technology. In this system, a double hot standby mode can be achieved by adopting bus arbitration. In addition, to detect the effective value of alternating current which is from 0 to 200 mA in the signal lamp lighting circuit, a precision rectifier signal conditioning circuit and an isolated acquisition circuit were designed. This new type of alarm instrument has high detection accuracy and could meet the functional requirements for metro signal systems after comparing it with some industry products that were applied on the spot.

An integrated intelligent intersection management and control system design

While a fair amount of study has been done recently on integrated management and control models for large-scale traffic systems, there is comparatively little information available regarding the design of management and control systems for small-scale intersections. This study aims to create the structural diagram of a management system for intersections and control technologies. It does this by designing three distinct systems: congestion prediction, traffic signal timing, and congestion flow dredging. This study searches the current state of common technology and chooses the intersection integrated management system by means of comparison. Fuzzy TOPSIS algorithm and ADP adaptive dynamic programming are chosen as the calculation techniques of signal lamp timing, while BP neural network and ATT-GCN network are chosen as the key algorithms of congestion prediction after thorough investigation. In the end, conventional traffic management techniques like forbidding left turns are used to direct cars that haven't arrived at the busy crossroads beforehand. This paper aims to select the best model for an intersection management system currently available from the common technologies. The idealized management system and its structure diagram are designed in a straightforward manner, and they will serve as a guide for future road and vehicular intersection design.

Light distribution technology of light-emitting-diode automotive lamps based onrippling pattern.

In this era of led-emitting-diode (LED) lighting, it is important to find a universal pattern structure for the LED automotive lamp optics. This paper starts with the secondary light distribution design method of a rippling pattern through the explanation and simulation analysis of its design principle and determines a 4 ' ' round signal lamp scheme with good performance. It then completes the proofing verification of this scheme, and the test results achieve the original design goal. Additionally, several examples of other lamp types with the rippling pattern are introduced, including a 4 ' ' round halo lamp and 7 ' ' transit lamp.

A portable and intelligent logic detector for simultaneous and in-situ detection of Al3+ and fluoride in groundwater

To develop a convenient and intelligent detector for simultaneous and in-situ detection of Al3+ and F- in groundwater, a novel organic probe called RBP has been prepared. With the increase of Al3+, RBP showed a significant fluorescence enhancement at 588 nm, and the detection limit was 0.130 mg/L. After combining with fluorescent internal standard CDs, the fluorescence of RBP-Al-CDs at 588 nm was quenched due to the replace of F- for Al3+, while the CDs at 460 nm remained unchanged, and the detection limit was 0.0186 mg/L. For convenient and intelligent detection, an RBP-based logic detector has been developed for simultaneous detection of Al3+ and F-. Within the ultra-trace, low concentration, and high concentration range of Al3+ and F-, the logic detector can achieve rapid feedback on their concentration levels (“U”, “L” and “H”) through different output modes of the signal lamps. The development of logical detector is of great significance for studying the in-situ chemical behavior of Al3+ and F- and for daily household detection.

Research on Financing Prosperity Monitoring of Equipment Manufacturing Industry based on Industry 4.0

Industry 4.0 has brought opportunities and challenges to the development of China’s equipment manufacturing industry. In order to boost the healthy development of equipment manufacturing industry, the paper select appropriate financing prosperity index and construct financing prosperity diffusion index and composite index in equipment manufacturing industry from the perspective of financing. Then we analysis the dynamic development trend toward financing prosperity of equipment manufacturing industry, and design the early warning signal lamp for it. In this paper, we take 2006-2015 quarterly data of the equipment manufacturing industry as a sample data, and wish to achieve the equipment manufacturing industry financing prosperity monitoring. Finally, the paper put forward to a series of corresponding improvement measures to address the problems related to financing problems in equipment manufacturing industry.

Research on intelligent vehicle lamp signal recognition in traffic scene

In order to improve the ability of intelligent vehicle to accurately recognize the semantics of the front vehicle, a new method of lamp signal recognition is proposed by combining deep learning with traditional computer vision. Firstly, the method uses YOLOv4 (You Only Look Once) network to detect vehicles and obtain accurate vehicle tail areas; Then, according to the spatial distribution characteristics of the pixels lighting the lamp in hue, saturation, value (HSV), a HSV spatial segmentation method based on region adaptive threshold is proposed to improve the pixel extraction quality; Finally, the deep neural network model is established to train the collected sample data, classify the brake lamp, turn signal lamp and lamp off state according to the information of lighting lamp pixels, and infer the current lamp meaning of the vehicle in front. In this paper, Python3.8, Pytorch1.9 and Opencv3.2 are used as algorithm implementation tools to test the road in the daytime urban traffic scene. The experimental results show that the average accuracy of the algorithm is 81.3%, the accuracy of the left turn signal is 75.8%, and the accuracy of the right turn signal is 76.4%.Article HighlightsThis paper investigates vehicle lamp signal recognition that is rarely explored in intelligent vehicle perception. A convolutional neural network is trained on the autonomous driving dataset for detection of vehicle tail regions.This paper transforms the image color space and proposes a region-based adaptive threshold for semantic segmentation of vehicle taillights with different hue, saturation and value.This paper constructs a deep neural network for lamp signal classification. Combined with the data collected in the actual traffic scene and the optimized network structure, the judgment of turn signals and brake signals is completed.

Active Compliance Control System for Intelligent Inspection Robot in Power Room

In order to solve the problems of blind spot and time-consuming and laborious monitoring in manual inspection of power information and communication rooms, a kind of active compliant control system for intelligent inspection robots of power information and communication rooms is proposed. This research includes the noncontact detection method of the inspection robot in the power room based on machine vision; the optimization environment of the power room; the control of the inspection robot through the monitoring system terminal; the automatic visual inspection of the machine through the monitoring network transmission; the display of the monitoring terminal and the use of the calibration of the machine; and the edge detection method of the inspection image. The motion model of the inspection robot in the power room is constructed and the compliant control method of the inspection robot is designed. The experimental results show that the ineffective fluctuation range of torque of each joint is the smallest when the inspection robot is disturbed by obstacles in the process of executing signal change instructions, and the average fluctuation range of robot limbs is 0.65%. Conclusion. Based on the research results of this essay, it is proved that the controllability of power signal lamp change can be optimized separately in the future, and the safety of circuit operation can be improved.

Traffic Light Portable Menggunakan Rf Wireless dengan Sumber Energi Solar Cell

The Solar Cell Portable Traffic Light is fabricated in order to assist and facilitate the traffic during road work to avoid traffic jam and accident. It’a developed with microcontroller as the main controller, LED as the light (signal lamp), a pair of poles to wireless communication and solar panel and battery for the power source. The poles height is 3 meters, which can rovide the maximum distance about 100 meters in open are which yield comfort and safety for road users during road work.

Go Ahead, Please!—Evaluation of External Human—Machine Interfaces in a Real-World Crossing Scenario

In the future, automated vehicles (AVs) without a human driver will potentially have to manage communication with vulnerable road users, such as pedestrians, in everyday traffic interaction situations. The aim of this work is to investigate pedestrian reactions to external communication concepts in a controlled, but real-world crossing scenario. The focus is to investigate which properties of external human–machine interfaces (eHMIs) promote the comprehensibility of vehicle intention (yielding for the pedestrian) and therefore lead to faster and, at the same time, safer crossing decisions of pedestrians. For this purpose, three different eHMI concepts (intention-based light-band, perception-based light-band, and the combination of light-band and signal lamp) were examined and compared to a baseline (no eHMI). In a Wizard-of-Oz experiment, participants (n = 30) encountered a test vehicle equipped with the eHMIs in a real-world crossing scenario. The crossing initiation time in seconds and the participant's intention recognition were measured. Furthermore, the influence of the eHMIs on acceptance and perceived safety was evaluated. It was shown that the presence of the intention-based light-band, and the combination of light-band and signal lamp led to an earlier crossing decision compared to baseline with no eHMI. In summary, the results indicate that the intention-based light-band has a positive effect on the comprehensibility of the vehicle's intention. All concepts were evaluated positively regarding acceptance and perceived safety, and did not differ significantly from each other.

Solar Cell as Energy Chlorinator for Disinfection of Flowing Water

The provision of clean water for the community must pay attention to physical, chemical and bacteriological requirements and this is intended to avoid negative impacts that are detrimental to its use. The purpose of this research is to produce a solar cell device as a chlorinator energy used to disinfect running water for the needs of the community. Experimental research to determine the performance of the tool to produce residual chlorine and E. coli in flowing water with variations in distance of 0 m, 0.5 km and 1 km according to the standards of the Ministry of Health 32/2017. The results of the research using a chlorinator consisting of a solar cell, battery, modem internet system, equipped with a signal lamp and relay lamp, a peristaltic pump as an injection of chlorine solution and a disinfectant used as a chlorine solution. The need for chlorine is 1.63 mg/l (141 g/day) dissolved in 40 l, then peristaltic pump discharge: 28 ml/minute for disinfection at reservoir water discharge 1.13 l/s, the result is: residual chlorine on average at a distance of 0 km, 0.5 km and 1 km respectively 0.64 ppm, 0.49 ppm and 0.3 ppm and contains E coli (0 per 100 ml), except for replication 11 which is 2 per 100 ml and still meets the requirements clean. The chlorinator can be used but it still needs to be tested regarding the durability of the components, the manufacture of digital devices, namely pump discharge, control switch internet system, automatic signal in case of trouble.

Calculate of hunan industrial early warning index

Electric Power data has the characteristics of strong real-time, fine granularity and high accuracy. It can more accurately reflect the current industrial structure and is suitable for the monitoring of high-quality economic development. In order to better play the role of power data monitoring and early warning, based on the prosperity signal lamp method, combining the principle of mathematical probability method, the early warning index system of electric power economic monitoring is constructed. The results show that the index can monitor the power situation of Hunan Province, and can be used in the construction of green energy and promote the energy conservation and high-quality economic development of Hunan Province.

Comparative analysis of vehicle behavior for different signal lamp positions at complex intersection

Comparative analysis of vehicle behavior for different signal lamp positions at complex intersection

Implementasi Warning Light pada Robot Beroda untuk Membantu Penyeberangan Anak Sekolah

Traffic and congestion are an inseparable unit. The main reason is mobility and speed is required. Along with the increase in the number of vehicles, the number of accidents, especially for children, also increases. This study creates a tool that can help police officers in crossing school children. The design of the made tool is a combination of a signal lamp and a wheeled robot. The control used to control the robot comes from a voice from a mobile phone. 360˚ is a maneuver that the robot can perform. To get the speed of the robot, the equation of RPM and wheel diameter (1.68 m/min) was used.

Application Design of AI Image Recognition in Power System

With the continuous development of social economy, more and more attention is paid to the safety of power systems. However, since the power system involves a wide range of areas, how to effectively maintain power safety is extremely important. The AI image recognition technology is introduced to effectively identify the relevant signal lamps, digital instrument panels, switch positions, etc., of power equipment and sort out the specific identification process. Simulation experiments prove that AI image recognition is effective and can support the application of power systems.

Social Force Model-Based Safety Evaluation of Intersections in Arterials Considering the Pedestrian Yield Rule

To enhance the safety of pedestrians crossing the street, a series of new regulations regarding pedestrian yield has been proposed and widely implemented across cities. In this study, we first made some improvements to the social force model, in which pedestrian crossing at the intersection, drivers’ psychology of giving way, vehicle yield to pedestrians, vehicle yield in different directions, the influence of pedestrians crossing boundaries, and signal lamp groups on pedestrian behavior were considered. Furthermore, pedestrian crossing and vehicle yield safety models were established, based on which the comprehensive safety evaluation model of intersections in arterials was established, in which two indices—(1) the safety degree of pedestrian crossings and (2) vehicle acceleration interference—were combined with the entropy weight method. Finally, four types of intersections in arterials were studied using a simulation: the intersections between different levels of arterials, and intersections with one-time and two-times pedestrian crossings. Moreover, safety evaluation and analysis of those intersections, considering the rule of pedestrian yield, were conducted combined with the trajectory data from the VISSIM simulation. The relevant results showed that for pedestrians crossing the street, the pedestrian safety of two-time crossing is significantly higher than that of one-time crossing, and compared with the arterial, the pedestrian crossing distance of the sub-arterial is shorter, and the pedestrian perception is safer. Moreover, due to the herd psychology effect, the increase in pedestrian flow volume improves the safety perception of pedestrians at the intersection.

Optimization Research on Server Detection Based on RGB Maximum Mean Features and Deep Belief Network Model

The intelligent detection about the running state of server equipment in computer room is a very important research field. In general, the state recognition research of signal lamp mainly includes the color and shape characteristics of signal lamp, and machine learning models. At present, the research results in this respect are not ideal for the recognition of signal lamps, Due to the small size and high density of the detected server lamp source, its shape characteristics cannot be accurately obtained, and state information is difficult to be perceived. This paper proposes a RGBMM features algorithm and a DBN network model algorithm, which is different from the traditional signal state recognition algorithm. According to the characteristics of server signal lamp, the color state image data of signal lamp is extracted effectively by RGBMM features algorithm, then the DBN network model algorithm is used to evaluate and identify the sampled signals, so as to judge whether the server is working normally. The experimental results show that the state recognition accuracy of the signal lamp is up to 98%, while the recognition rate of the signal lamp color state image using HSV( ( Hue, Saturation, Value) ) transformation is 90.7%. The difference between the three is different the algorithms used. So the RGBMM features algorithm and the DBN network model algorithm have a wider use for the signal lamp color status recognition.

Research on Intelligent Transportation Construction Model Based on Computer Technology

With the continuous progress of the society, people’s living standard has been continuously improved, which is obviously reflected in the way people travel. More and more people begin to use cars as a means of transportation in daily production and life. Computer technology has been widely used in the construction of vision in intelligent transportation. So-called visual traffic means the use of computer image processing function, the analysis of image processing, and the image obtained mainly from traffic monitoring system, in the main city of placed in a large number of surveillance cameras, real-time monitoring of traffic, through the analysis of the collected image processing, to timely learn about the way of real-time traffic, thereby to shunt of key crossroads, reduce the pressure of main road traffic. In the establishment of intelligent transportation, the traffic signal lamp is an indispensable and important part, and the traffic signal lamp is also an effective way of traffic management. In the establishment of intelligent transportation, the vehicle positioning and navigation requirements are high, so the real-time positioning and real-time navigation of the vehicle is particularly important. In this paper, the construction of intelligent transportation as a starting point, from the computer technology in the construction of intelligent transportation in the process of various advantages were analyzed, the feasibility of the construction of intelligent transportation for in-depth analysis.

Traffic Optimization Methods of Urban Multi-leg Intersections

The research on the organization of intersections has always been the key and difficult point of road optimization, especially for multi-leg intersections. Since the traffic flow direction and the number of conflict points of multi-leg intersection are more than that of ordinary intersection, the difficulty of organization and optimization increases accordingly. At present, the research on multi-leg intersections is not much or deep enough at home and abroad. In general, it is transformed into a roundabout when the traffic volume is small, and the signal lamp is set with the increase of traffic volume. However, the signalized roundabout is not applicable when the traffic flow at the signal roundabout increases to a certain extent. Therefore, this paper introduces Huangsha six import signal free roundabout in Dianjiang County of Chongqing as the research case, takes the traffic delay and queue length as the evaluation index, and two new optimization methods are proposed on the basis of the original methods, namely improved the signalized roundabout and the signalized intersection. To assess the feasibility of these methods, VISSIM is used for simulation comparison. The simulation results show that compared with the current traffic situation, the average delay time of vehicles in the signalized intersection optimization method is reduced by 9.3 s, the average queue length decreased by 3.7 m, and its indicators are better than the signalized roundabout. Therefore, the method of signalized intersection not only provides a good mirror for the reconstruction of multi-leg intersections, but also offers relevant theoretical and practical exploration.

Research on Guiding Technology for Ecological and Sate Driving of Vehicles

Based on the vehicle-road coordination technology, the decision-making model of vehicle entering signalized intersection and the optimization model of eco-driving speed guidance are studied. Using vehicle speed guidance technology to provide drivers with guidance information can effectively reduce vehicle fuel consumption and enhance vehicle safety. This paper establishes an engine fuel consumption model based on power demand and an optimization model of vehicle speed guidance based on exponential function. Then conduct simulation tests on the energy-prioritized vehicle speed guidance optimization model designed in this paper and obtain the speed optimization curve under different traffic conditions. The test results show that after the vehicle is guided by the vehicle speed guiding model, its driving speed and acceleration are relatively smooth, which can effectively reduce the fuel consumption. When the initial speed is the same, the vehicle passes through the intersection just when the signal lamp changes. At this time, the fuel consumption of the vehicle is lower than the other guidance modes that meet the model and when the vehicle is properly accelerated, the fuel consumption rate has little effect. But at the time of deceleration, the fuel consumption rate suddenly changes and the fuel consumption increases rapidly.

Understanding factors of ambulance delay and crash to enhance ambulance efficiency: an integrative literature review

Trauma is one of the major causes of deaths worldwide. The referral time of trauma patients to the trauma center is a vital determinant of traumatic injury patients’ survival. Ambulance delays and crashes are the major causes of delay of patient transportation to the hospital. This review was conducted to find the main factors that cause ambulance crashes and ambulance delays; and discuss the correlation of both factors. Hence, the authors might suggest an appropriate solution to minimize ambulance delay and crash incidents. This integrative literature review applied the PRISMA-P protocol to ensure a robust literature search. A total of nine databases and publishers (i.e., PubMed, Scopus, ScienceDirect, ASCE Library, Clinical Key, EBSCO, Cambridge, Taylor & Francis, and ProQuest) were searched using relevant keywords to obtain studies on ambulance delays and ambulance crashes. The literature search retrieved 620 studies to be screened based on the exclusion-inclusion criteria which finally resulted in the 12 studies included in the review. The researchers conducted a risk of bias assessment using Joanna Briggs Institute's critical appraisal tools. Data from the included studies were then extracted and analyzed using descriptive statistics to identify the factors affecting ambulance delays and crashes. After conducting an integrative literature review, the main factor that causes ambulance delays is traffic congestion. Meanwhile, the main factor causing ambulance crashes is intersection. Traffic congestion often occurs especially at intersections. The authors concluded that, intersections have a significant effect on ambulance delays and also ambulance crashes. To overcome this problem, the authors suggest to make an additional ambulance caution signal lamp on all congested intersections.