scholarly journals RANCANG BANGUN PROTOTYPE SISTEM PENDETEKSI PELANGGARAN PADA ZEBRA CROSS DI LAMPU LALU LINTAS BERBASIS ARDUINO

Foristek ◽  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Uswatun Hasanah ◽  
Mery Subito ◽  
Muhammad Aristo Indrajaya
Keyword(s):  
Response Speed ◽  
Average Response ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Laser Sensors ◽  
Road Users ◽  
Traffic Violations ◽  
Road Intersections ◽  
On The Road

Current road users cannot be separated from the number of violators, therefore traffic lights are made to regulate traffic on the road. At traffic lights, there is also a zebra crossing which serves as a means of crossing the road for pedestrians. To minimize violations at road intersections, researchers designed a tool to detect traffic violations. Traffic violation detection tool is made in prototype form using a control system with Arduino nano and software. This traffic light system uses LDR and laser sensors to detect these violations by cutting the laser which sends light to the LDR. This tool is also equipped with a webcam camera that functions to photograph violations that occur and a buzzer that functions as a warning to officers and riders in the event of a violation with an average response speed of the webcam of 2.37 seconds and the average response speed of the buzzer is 0.4 seconds. . The snapshot from the webcam is saved automatically on your PC / Laptop.

scholarly journals Automatic traffic light controller for emergency vehicle using peripheral interface controller

2019 ◽  
Vol 9 (3) ◽  
pp. 1788 ◽  
Author(s):  
Norlezah Hashim ◽  
Fakrulradzi Idris ◽  
Ahmad Fauzan Kadmin ◽  
Siti Suhaila Jaapar Sidek
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Emergency Situation ◽  
Light Signal ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Light Area ◽  
On The Road

Traffic lights play such important role in traffic management to control the traffic on the road. Situation at traffic light area is getting worse especially in the event of emergency cases. During traffic congestion, it is difficult for emergency vehicle to cross the road which involves many junctions. This situation leads to unsafe conditions which may cause accident. An Automatic Traffic Light Controller for Emergency Vehicle is designed and developed to help emergency vehicle crossing the road at traffic light junction during emergency situation. This project used Peripheral Interface Controller (PIC) to program a priority-based traffic light controller for emergency vehicle. During emergency cases, emergency vehicle like ambulance can trigger the traffic light signal to change from red to green in order to make clearance for its path automatically. Using Radio Frequency (RF) the traffic light operation will turn back to normal when the ambulance finishes crossing the road. Result showed the design is capable to response within the range of 55 meters. This project was successfully designed, implemented and tested.

scholarly journals Ant Colony Optimization for Real Time Traffic Lights Control on a Single Intersection

2020 ◽  
Vol 14 (02) ◽  
pp. 196 ◽  
Author(s):  
Nouha Rida ◽  
Mohammed Ouadoud ◽  
Aberrahim Hasbi
Keyword(s):  
Road Traffic ◽  
Green Light ◽  
Optimal Solution ◽  
Ant Colony ◽  
Traffic Data ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Real Time Traffic ◽  
On The Road

In this paper, we present a new scheme to intelligently control the cycles and phases of traffic lights by exploiting the road traffic data collected by a wireless sensor network installed on the road. The traffic light controller determines the next phase of traffic lights by applying the Ant Colony Optimazation metaheuristics to the information collected by WSN. The objective of this system is to find an optimal solution that gives the best possible results in terms of reducing the waiting time of vehicles and maximizing the flow crossing the intersection during the green light. The results of simulations by the SUMO traffic simulator confirm the preference of the developed algorithm over the predefined time controller and other dynamic controllers.

scholarly journals Opportunities to improve road traffic on short-length road connections by correlating intersection traffic lights

2022 ◽  
Vol 960 (1) ◽  
pp. 012020
Author(s):  
A Boroiu ◽  
E Neagu ◽  
A A Boroiu
Keyword(s):  
Road Traffic ◽  
Central Area ◽  
Green Light ◽  
Traffic Light ◽  
City Center ◽  
Traffic Lights ◽  
The Road ◽  
Micro Simulation ◽  
Road Intersections ◽  
The City

Abstract The paper aims to explore the possibilities of improving road traffic in the central area of cities characterized by a longitudinal arrangement of the street network, with application for the case of Pitesti, where the road network in the central area consists of two main roads arranged longitudinally, having one-way regulated traffic, interconnected by several streets. A special traffic problem is reported in the city center: on the main road connecting the two boulevards, the vehicle storage space is insufficient - because the distance between the two road intersections is too small and there is no correlation between the Green phases of traffic lights in the two intersections. The research, based on traffic measurements performed with DataFromSky software and micro-simulation traffic analyses performed with Vissim PTV software, indicated that the best solution is the partial or total correlation of the green time from the traffic light intersections that delimit the connecting road artery. As, almost exclusively, the works dedicated to the correlation of green light of traffic lights treat the problem only along the road arteries, this paper raises a special issue and reveals the possibility of simple solutions, by correlating the traffic lights at the intersections connecting the main arteries.

scholarly journals Optimization of Traffic Flow On KS Tubun Street using Greenberg Model

2019 ◽  
Vol 8 (2S7) ◽  
pp. 83-86
Keyword(s):  
Traffic Flow ◽  
Red Light ◽  
Green Light ◽  
Light Cycle ◽  
Traffic Light ◽  
Traffic Jam ◽  
Traffic Lights ◽  
The Road ◽  
Road Users ◽  
Time Parameters

KS Tubun Street is a street in Bogor, which has a fairly high vehicle volume and become one of a high-traffic jam area. This is caused by KS Tubun Street is the main road for road users from Jakarta and Bogor. Traffic jam problem that occurs due to the confluence interchange of traffic flow and traffic lights settings that are not proportional to the volume of vehicles across the road. Optimization of traffic flow at KS Tubun Street performed by the stages of forming a model of traffic flow, determining the density and velocity of the vehicle is based on the Greenberg model, and determining the length of the traffic lights to avoid a buildup of vehicles. The result is a traffic flow model with distance and time parameters. The density of vehicles that occurs on the streets of KS. Tubun street based on the Greenberg model between 180 to 240 unit car of passanger (ucp) with the average velocity of vehicles 15 to 19.5 km per hour. The density of vehicles on KS. Tubun street can be break down by increasing time. Traffic light cycle time can be reduced for 8 seconds with the red light glowing time is 80 seconds and the green light glowing time is 62 seconds.

scholarly journals “Not as Safe as I Believed”: Differences in Perceived and Self-Reported Cycling Behavior between Riders and Non-Riders

2021 ◽  
Vol 13 (4) ◽  
pp. 1614
Author(s):  
Sergio A. Useche ◽  
Javier Gene-Morales ◽  
Felix W. Siebert ◽  
Francisco Alonso ◽  
Luis Montoro
Keyword(s):  
Road Safety ◽  
Perceived Safety ◽  
The Road ◽  
Road Users ◽  
Positive Behaviors ◽  
Behavioral Interaction ◽  
Two Samples ◽  
Traffic Violations ◽  
On The Road ◽  
Cycling Behavior

Cycling behavior remains a key issue for explaining several traffic causalities occurring every day. However, recent studies have shown how the assessment of the own safety-related behaviors on the road may substantially differ from how third parties assess them. Thus, the aim of this study was to evaluate the differences between cyclists’ self-reported behavior and the proxy-reported behavior that other (non-cyclist) road users perceive from bike riders. For this purpose, this study used data from two samples: (i) 1064 cyclists (M = 32.83 years) answering the Cycling Behavior Questionnaire—CBQ, and (ii) 1070 non-cyclists (M = 30.83 years) answering an adapted version of the CBQ for external raters—ECBQ. The results show how the self-reported and proxy-reported behaviors of cyclists greatly differ in terms of all behavioral factors composing the CBQ model, i.e., traffic violations, riding errors, and positive behaviors. Also, external raters (non-cyclists) are those targeting significantly riskier behaviors than those self-reported by cyclists. These discrepancies between perceived behaviors may give rise to conflicting viewpoints on the interaction between bicycle riders and other road users. Therefore, this study underscores the importance of behavioral awareness, providing highlights for future studies on the behavioral interaction between cyclists and other road users. Results can be used to improve the road safety of all road users by giving indications on self-and proxy-perceived safety-related behaviors and visibility of protective riding habits.

scholarly journals Railroad traffic light sensors to anticipate jams at junctions based on ATMega8

SinkrOn ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 144-156
Author(s):  
Amir Mahmud Husein ◽  
Alfredy Willim ◽  
Yandi Tumbur Nainggolan ◽  
Antonius Moses Simanggungsong ◽  
Prayoga Banjarnahor
Keyword(s):  
Traffic Congestion ◽  
Light Condition ◽  
Traffic Light ◽  
Infrared Sensors ◽  
Low Speed ◽  
The Road ◽  
Traffic Jams ◽  
Road Users ◽  
Railroad Crossings ◽  
On The Road

Traffic congestion is a problem that has long occurred in Indonesia, especially in big cities. Traffic congestion that occurs can cause various losses, one of which is time loss because it can only run at a very low speed. Then it will create a waste of energy, because going at low speed will require more fuel. Congestion is also able to increase the saturation of other road users, not only that traffic jams also have a bad impact on nature which causes air pollution. And there are many more impacts of traffic jams that can make traveling very uncomfortable. One of the locations of traffic jams often occurs on roads located around railroad crossings. Therefore, In this study, it is proposed to make a traffic light sensor adjacent to the train track to anticipate long traffic jams based on atmega8 and infrared sensors, with the stages of collecting data, recording transportation activities at the location of the jam, then designing a sensor device. The system built is to read the volume of vehicles on the road and prioritize the road with the highest volume of vehicles to get the green traffic light condition. Based on the results of the manufacture of infrared sensors and atmega8 can be tested to reduce the level of congestion at crossroads adjacent to the railroad.

scholarly journals OPTIMIZATION OF MANAGEMENT OF URBAN LIGHTS WITH THE USE OF NEURAL NETWORKS

THE BULLETIN ◽  
2021 ◽  
Vol 389 (1) ◽  
pp. 14-17
Author(s):  
A.А. Suleimen ◽  
G.B. Kashaganova ◽  
G.B. Issayeva ◽  
B.R. Absatarova ◽  
M.C. Ibraev
Keyword(s):  
Neural Networks ◽  
Mathematical Model ◽  
Traffic Management ◽  
Urban Traffic ◽  
Control Parameters ◽  
Traffic Flows ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
On The Road

One of the most pressing problems of large cities is the problem of traffic management of vehicles. The reason for this problem is an imperfect way to manage traffic flows. Traffic light regulation is of particular importance in traffic management. Most modern traffic light control systems operate at set time intervals and are not able to cope with the constantly changing situation on the road. A promising direction for solving this problem is to optimize the system using artificial neural networks. The advantage of neural networks is self-learning, which allows the system to adapt to the changing situation on the road. Despite numerous attempts, it has not yet been possible to obtain a high-quality mathematical model of urban traffic management. This model should determine the functional dependence of transport flow parameters on control parameters. Nowadays, traffic flows are regulated everywhere by means of traffic lights. If we can get a fairly accurate mathematical model of traffic flows, we can determine the optimal duration of the traffic signal phases to achieve the maximum capacity of the road network node. A fairly accurate mathematical model of traffic management that works in predictive mode will display an estimate of the optimal control parameters, as well as make correct decisions in emergency situations. Well-known mathematical models of road traffic take into account only the average values of traffic flows, and not the exact number of cars on each road section at a particular time.

Identification of Risk Factors for Collisions Involving Cyclists Based on Gdansk Example

2017 ◽  
Author(s):  
Romanika Okraszewska ◽  
Kazimierz Jamroz ◽  
Marek Bauer ◽  
Krystian Birr ◽  
Anna Gobis
Keyword(s):  
Risk Factors ◽  
Traffic Management ◽  
Weather Conditions ◽  
Traffic Light ◽  
The Road ◽  
Road Users ◽  
Organizational Type ◽  
Road Speed ◽  
External Conditions ◽  
On The Road

The role of pedestrian and bicycle traffic in Poland has growing trend. The comprehensive traffic study, conducted in Gdansk in 2016, has confirmed the increase in the number of cyclists and their share in the modal split. Therefore, it is particularly important to ensure the safety of this group of unprotected road users. Only in 2015 on the roads of Gdansk occurred 93 accidents (excluding collisions) involving cyclists. As a result, 101 people were injured, including nine seriously and 3 people killed. The study aim was to identify risk factors for collisions involving cyclists based on data of accidents reported to the police. The following factors were analysed: the conditions for the drivers on the road (speed limits of, surface conditions), conditions for cyclists (cycling infrastructure, traffic management), external conditions (time of the year, time of the day, weather conditions), conditions organizational (type of intersection, traffic light) as well as the social aspects – the behaviour of all users.

Velocity Optimization of Pure Electric Vehicles with Traffic Dynamics and Driving Safety Considerations

2021 ◽  
Vol 2 (1) ◽  
pp. 1-24
Author(s):  
Liuwang Kang ◽  
Ankur Sarker ◽  
Haiying Shen
Keyword(s):  
Energy Consumption ◽  
Electric Vehicles ◽  
Optimization Methods ◽  
Driving Safety ◽  
Traffic Light ◽  
Optimal Velocity ◽  
Traffic Lights ◽  
Optimization System ◽  
The Road ◽  
On The Road

As Electric Vehicles (EVs) become increasingly popular, their battery-related problems (e.g., short driving range and heavy battery weight) must be resolved as soon as possible. Velocity optimization of EVs to minimize energy consumption in driving is an effective alternative to handle these problems. However, previous velocity optimization methods assume that vehicles will pass through traffic lights immediately at green traffic signals. Actually, a vehicle may still experience a delay to pass a green traffic light due to a vehicle waiting queue in front of the traffic light. Also, as velocity optimization is for individual vehicles, previous methods cannot avoid rear-end collisions. That is, a vehicle following its optimal velocity profile may experience rear-end collisions with its frontal vehicle on the road. In this article, for the first time, we propose a velocity optimization system that enables EVs to immediately pass green traffic lights without delay and to avoid rear-end collisions to ensure driving safety when EVs follow optimal velocity profiles on the road. We collected real driving data on road sections of US-25 highway (with two driving lanes in each direction and relatively low traffic volume) to conduct extensive trace-driven simulation studies. Results show that our velocity optimization system reduces energy consumption by up to 17.5% compared with real driving patterns without increasing trip time. Also, it helps EVs to avoid possible collisions compared with existing collision avoidance methods.

scholarly journals PENGENDALIAN KEPADATAN KENDARAAN PADA TRAFFIC LIGHT MENGGUNAKAN ATMEGA8535 DAN VISUAL BASIC

2019 ◽  
Vol 2 (1) ◽  
pp. 34-40
Author(s):  
Pauzun Pauzun
Keyword(s):  
Waiting Time ◽  
Visual Basic ◽  
Infrared Laser ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Road Users

Traffic light is a beacon used to arrange the traffic regularity of 4- way intersection by giving the road users some opportunities to take turn alternately. The density of vehicles in each 4-way intersection has difference level while the recent traffic lights uses the same waiting time at each intersection. It makes less effective. Ideally, the traffic lights as possible should be controlled easily and utilized efficiently to facilitate the flow of traffic at 4-way intersection. Solving the problem, the solution of traffic light optimization  was provided in the form of a prototype by using the ATMEGA8535 microcontroller with two infrared laser modules and two photodiodes as a detection of the received reflection light in each intersection recently. These sensors served to determine the range of congestion levels based on the density of the vehicle. It made  the waiting time be more efficient. The tools of setting programed by using Visual Basic. The results of this study were the optimizing traffic light that makes the waiting time at each intersection becomes more effective based on the density of the vehicle.

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