Automatic Traffic Signal Research Articles

Study and Research Analysis of Automatic Traffic Signal with Hydraulic System

Abstract: The overall objective of our project is to grasp the role of traffic system and its management. To avoid the traffic issues we are suggesting an idea of automatic hydraulic barrier system.Apart from offering other advantages features of automatic hydraulic barriers are first choice if heavy loads must be moved , lifted or controlled. This technique hydraulic barrier operated by PLC programming for controlling traffic in step with change the signal will decided by calculating no. of vehicles passes through.Some research papers proposed earlier regarding barriers and hydraulic actuators, but they need research gap which one we are visiting to fulfill the one among the newest technology is Automatic Hydraulic Barrier. This project Automatic Hydraulic barrier on the state highways to control the traffic irregularities and accidents. The material required for automatic traffic control is Hydraulic barrier, webcam, varieties of sensors, manual switch, relay ,piston. When the lights on traffic signals on the hydraulic actuators starts lifting and its is at upward until the green lights activate. When the red light are on the those that need to cross the road they’ll cross easily with safety and no vehicles move forward until the green light are on. This manner we will control the traffic irregularities and reduce the numbers of accidents. Keywords: Traffic signal control, Hydraulic system, Signal timing , Automatic traffic control,Passenger safety etc.

IoT Based Signal Violated Vehicle Detector

Abstract: The number of new vehicles on the road is increasing rapidly, which in turn causes highly congested roads and due to the long awaiting red signals, few vehicle drivers ignore traffic rules by violating traffic signals. This leads to a high number of road accidents and hence it is essential to detect the signal violated vehicles automatically. Traffic violation detection systems using IOT technology can able to send violated vehicle information to the concern traffic police station automatically by which the vehicle can be penalized immediately. The proposed system can be implemented using vehicle ID card installed in the vehicle itself such that if the vehicle moves further during presence of red signal, automatically, vehicle information in the form of vehicle registration number, type of vehicle (weather it is two-wheeler, car, truck, auto, etc.), owner name, vehicle colour, etc, can be forwarded to the concern authorities through concern mobile phones. To prove the concept practically, all vehicles must be equipped with these low-cost wireless ID cards such that the vehicle data can be transmitted continuously. The demo module contains a mini automatic traffic signal post along with simulated road. The system is designed such that when red signal is energized and during this period, if any vehicle crosses the zebra lines, the system receives the vehicle data and transmits the same through Wi-Fi module. If anybody violates the traffic signal, immediately alarm will be energized to alert the nearest traffic police. The main processor must be installed near the traffic signals, which regrets to acquire vehicle information during the presence of yellow and green signals. The demo module contains one toy car which will be equipped with its wireless ID card. Major building blocks: Simulation of single lane road constructed with traffic signal post & zebra crossing, main processor designed with Arduino MCU, wireless ID card designed with 89C2051 controller chip, IR signal decoder (TSOP1738), Wi – Fi module, Alarm, IR LED, 5v Power supply unit, Toy car, etc.

Modeling Traffic Control Agency Decision Behavior for Multimodal Manual Signal Control Under Event Occurrences

Traffic control agencies (TCAs), including police officers, firefighters, or other traffic law enforcement officers, can override automatic traffic signal control and manually control the traffic at an intersection. TCA-based traffic signal control is crucial to mitigate nonrecurrent traffic congestion caused by planned and unplanned events. Understanding and predicting TCA behaviors is significant to optimize event traffic management and operations. In this paper, we propose a pressure-based human behavior model to mimic TCA's decision-making behavior. The model calculates TCA's pressure based on two attributes: vehicle and pedestrian queue dynamics and the red time duration for each phase. When TCA's pressure on each phase meet certain criteria and the minimal green is satisfied, TCA will terminate the current phase and switch to another phase. In order to study TCA behavior systematically, we first build a manual signal control simulator based on a microscopic traffic simulation tool. Supported by the manual control simulator, a series of human subject experiments have been conducted with real-world TCAs. Experiment data are divided into training data and test data. The proposed behavior model is then calibrated by training data, and the model is validated by both offline segment-based phase and duration prediction and online VISSIM-based simulation. Further, we test the model with videotaped TCA behavior data at a real-world intersection. Both validation results support the effectiveness of proposed behavior model.

Performance Measures of Manual Multimodal Traffic Signal Control

Representatives of traffic control agencies (TCAs)—including police officers, firefighters, and other traffic law enforcement officers who override automatic traffic signal controls—are crucial to the mitigation of nonrecurrent traffic congestion caused by planned and unplanned events. An unanswered question is how well TCA officers perform compared with state-of-practice automatic traffic signal controls. This study assessed the performance of TCA manual multimodal traffic signal control during special events. First, an interview was designed to promote understanding of the control rules of TCAs and the practice of manual traffic signal control. Next, a simulation experiment was conducted to record control actions during multimodal traffic flows containing buses, pedestrians, and passenger cars. Third, a TCA performance index was developed through a comparison of manual control with actuated signal control and optimal control solutions from an online optimization model, which assumed the availability of rich vehicle information, to determine the best control strategies. The results show that manual traffic control can significantly improve control performance, even to the point of approaching the performance of the optimized timing plan. Large variations, however, were observed during the study.

Risk factors for motor vehicle crashes involving civilian drivers and emergency vehicles in use

BackgroundTransportation-related events are the leading cause of death among emergency medical services personnel. Previous research has focused, primarily, on factors associated with emergency vehicle (EV) drivers; however, factors associated with...

Development of a fuzzy logic traffic system for isolated signalized intersections in the State of Kuwait

In a conventional traffic signals controller, the lights change at constant cycle time. In many cities, automatic traffic signals are often based on a constant green-to-red cycle. The time period for green light (or red light) to be on is determined based on a stochastic model. The traditional vehicle-actuated control of isolated intersections attempts continuously to adjust green times. The decision to change green light duration involves fuzzy factors that cannot be precisely determined. The main objective of this paper is to develop a fuzzy logic traffic system that considers the two two-way intersections and is able to adjust changes in time intervals of a traffic signal based on traffic situation level. The proposed system has been applied and tested using real data collected from signalized intersection in Hawalli governorate in the State of Kuwait. Twenty-seven iterations have been done; the results show that the proposed fuzzy logic traffic system provides better performance in terms of total waiting time, total moving time, and vehicle queue. Finally, it can be observed from the results that the proposed system can be used to accelerate the cycle time and to give other phases the chance to gain more benefit from the green time lost.

釜石鉱山における採鉱の近代化と主要運搬坑道の列車遠隔操作について

As a result of modernization of mining since 1964, the output was increased, in 1970, to 6, 220 tons a day from 5, 477 tons and overall underground productivity to 19.7 tons per man-shift from 13.2 tons.The main points of the modernization are as follows: 1. Mining a. Installation of elevator in the underground.b. Speed-up of tunnelling and raising. c. Preparation and extending use of AN-FO. d. Improvement of bits and rods for drilling. e. Increase of mining efficiency. f. Loading by larger equipments. 2. Main haulage a. Use of large-size mine cars. b. Remote control of trains. c. Introduction of automatic traffic signal system.

Status factors in pedestrain violation of traffic signals.

Pedestrians violated the prohibition of an automatic traffic signal more often in the presence of an experimenter's model who violated the prohibition than when the latter conformed or was absent. Significantly more violations occurred among pedestrians when the nonconforming model was dressed to represent high social status than when his attire suggested lower status.

Traffic Signals at ‘Bank Complex'

A DESCRIPTION is given in Roads and Road Construction of November 1 of the ‘electromatic’ vehicle-actuated system operating on the ‘flexible-progressive’ system. Automatic traffic signals outside the Bank of England and on several important roads in the locality are to be installed as early as possible. It has been found that the signals in other parts of the City have proved of such value during the black-out that police officers have been able to concentrate on other important duties, and it is only at a few intersections that it has been necessary for them to control traffic by hand signals. The name ‘Bank Complex’ has been given to the area which is the junction of Threadneedle Street, Cornhill, Lombard Street, King William Street, Princes Street, Queen Victoria Street, Poultry and Mansion House Street. A specification for traffic signals to control the heavy and complicated traffic at this junction was prepared by the Ministry of Transport in collaboration with straffic officials of the City of London Police.

Automatic Traffic Signals and Their Operation

Automatic Traffic Signals and Their Operation