scholarly journals Performance Analysis of V2V and V2I LiFi Communication Systems in Traffic Lights

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Gerardo Hernandez-Oregon ◽  
Mario E. Rivero-Angeles ◽  
Juan C. Chimal-Eguía ◽  
Arturo Campos-Fentanes ◽  
Jorge G. Jimenez-Gallardo ◽  
...  
Keyword(s):  
Mobile Communications ◽  
Communication Systems ◽  
Vehicular Networks ◽  
Low Cost ◽  
Red Light ◽  
Green Light ◽  
Mathematical Expression ◽  
Traffic Light ◽  
Safe Driving ◽  
Traffic Lights

Vehicular networks is a key technology for efficiently communicating both user’s devices and cars for timely information regarding safe driving conditions and entertaining applications like social media, video streaming, and gaming services, among others. In view of this, mobile communications making use of cellular resources may not be an efficient and cost-effective alternative. In this context, the implementation of light-fidelity (LiFi) in vehicular communications could be a low-cost, high-data-rate, and efficient-bandwidth usage solution. In this work, we propose a mathematical analysis to study the average throughput in a road intersection equipped with a traffic light that operates as a server, which is assumed to have LiFi communication links with the front lights of the vehicles waiting for the green light. We further assume that the front vehicle (the car next to the traffic light) is able to communicate to the car immediately behind it by using its own tail lights and the front lights of such vehicle, and so on and so forth. The behavior of the road junction is modeled by a Markov chain, applying the Queueing theory with an M/M/1 system in order to obtain the average queue length. Then, Little’s theorem is applied to calculate the average waiting delay when the red light is present in the traffic light. Finally, the mathematical expression of the data throughput is derived.

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 Density Controlled Traffic Lights System using Aurdino Mega 2560

2020 ◽  
Vol 9 (5) ◽  
pp. 392-394
Keyword(s):  
Traffic Control ◽  
Urban Areas ◽  
Red Light ◽  
Green Light ◽  
Fixed Time ◽  
Traffic Density ◽  
Traffic Light ◽  
Traffic Lights ◽  
Choice Making ◽  
Control Authority

We have proposed the enhancement of Traffic Light Controller utilizing ultrasonic sensor and microcontroller. The Paper is planned for structuring a thickness based dynamic traffic signal framework where the planning of signal will change consequently on detecting the traffic density at any road junction. Traffic jams are an extreme issue in many urban areas over the world and thusly the time has come to move progressively manual mode or fixed clock mode to a robotized framework with choice making abilities. Present day traffic control framework is fixed time based which may render wasteful on the off chance that one path is operational than the others. To solve this issue, we have made a structure for a clever traffic control system. Some of the time higher traffic density at one side of the intersection requires longer green light time when compared with standard green light time. We, consequently propose here a component where the time of green light and red light is allotted based on the thickness of the traffic present around then. This is accomplished by utilizing ultrasonic sensors which are available on Top of the street.Sometime, in specific intersection of the street junctions extended periods of Red Traffic Light. In instance of any vehicle in crisis circumstance or on the other hand in emergency like VVIPs,a SMS is send to Traffic Control Authority, who has the control of microcontroller empowers microcontroller to change traffic light green for specific time on need premise.

Perancangan Sistem Kontrol Lampu Lalulintas Cerdas Dengan Menggunakan Mikrokontroler dan Kamera

Jurnal MIPA ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 200
Author(s):  
Tjerie Pangemanan ◽  
Arnold Rondonuwu
Keyword(s):  
Real Time ◽  
Digital Image ◽  
Red Light ◽  
Green Light ◽  
Processing Method ◽  
Traffic Lights ◽  
Traffic System ◽  
Road Users ◽  
Adjustment System ◽  
System Time

Masalah lalu lintas  merupakan salah satu  masalah yang sangat sulit diatasi dengan hanya menggunakan system waktu (timer). Oleh sebab itu diperlukan suatu system pengaturan otomatis yang bersifat real-time sehingga waktu pengaturan lampu lalu lintas dapat disesuaikan dnegan keadaan di lapangan. Penelitian ini bertujuan mengembangkan suatu simulasi sistem yang mampu mengestimasi panjang antrian kendaraan menggunakan metoda pengolahan citra digital hanya dengan menggunakan satu kamera untuk dijadikan parameter masukan  dalam menghitung lama waktu nyala lampu merah dan lampu hijau. Oleh karena itu, sistem lalulintas sangatlah diperlukan, sebagai sarana dan prasarana untuk menjadikan lalulintas lancar, aman, bahkan sebagai media pembelajaran disiplin bagi masyarakat pengguna jalan raya. Penelitian ini penulis menggunakan sistem pengontrolan berbasis citra digital dimana camera sebagai sensor. Untuk aplikasi dari  semua metode dalam penelitian ini digunakan Microcontroller AurdinoTraffic problems is one of the problems that is very difficult to overcome by only using the system time (timer). Therefore we need an automatic real-time adjustment system so that the time settings for traffic lights can be adjusted according to the conditions on the ground. This study aims to develop a system simulation that is able to estimate the length of the vehicle queue using a digital image processing method using only one camera to be used as input parameters in calculating the length of time the red light and green light. Therefore, the traffic system is very necessary, as a means and infrastructure to make traffic smooth, safe, even as a medium for disciplined learning for road users. In this study the authors used a digital image-based control system where the camera as a sensor. For the application of all methods in this study, Aurdino Microcontroller is used

scholarly journals AB0612 THE FRACTURE PREVENTION UNIT OF THE VIRGEN MACARENA HOSPITAL REDUCES THE GAP IN THE MANAGEMENT OF OP, PARTICULARLY IN MALES AND MEETS IOF/ESCEO QUALITY STANDARDS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1341.2-1341
Author(s):  
B. Hernández-Cruz ◽  
F. J. Olmo Montes ◽  
M. J. Miranda García ◽  
M. D. Jimenez Moreno ◽  
M. A. Vázquez Gómez ◽  
...  
Keyword(s):  
Fragility Fracture ◽  
Red Light ◽  
Green Light ◽  
Quality Standards ◽  
Type A ◽  
Traffic Light ◽  
Patient Identification ◽  
Reference Time ◽  
Fracture Liaison

Background:The Virgen Macarena University Hospital belongs to the Public Health System of Andalusia and serves 481,296 inhabitants in Seville, Spain. In 2018 the Fracture Liaison Service switched to a multidisciplinary unit.Objectives:To describe FLS, to know the characteristics of patients with emphasis on gender differences and to know the completion of International Osteoporosis Foundation quality standards.Methods:Prospective, observational, analytical, research of usual clinical practice. All the consecutive patients attended from May 2018 to October 2019, ≥50 years, with a fragility fracture (occurred in the previous 24 months) were included. The study was approved by the Ethics Committee, Code 1084-N-16.Results:Our FLS is a type A multidisciplinary Unit, with a high level of intervention in the evaluation, estimation of fracture risk and fall risk, treatment prescription and follow-up of the patients. We included 408 patients, 80% females, one third with ≥80 years. Fragility fractures recorded in 328 women were hip (132, 40%), clinical vertebral (81, 25%) and no hip no vertebral (115, 35%). Those recorded in 82 males were hip (53, 66%), clinical vertebral (20, 24%) and no hip no vertebral (9, 10%), p=0.0001. Males had a higher rate of secondary causes of OP, drinker, and smoking. The most relevant gender difference was the low percentage of patients receiving pre-FF OP treatment. Forty-nine (16%) women versus 9 (7%) males had received it at some point in their life, p=0.04. Two hundred and seventy-one (86%) women vs 48 males (63%) had received it at after their FF in their reference unit, and all them were treated after the FLS evaluation. The probability of a male not receiving prior treatment was 2.5 (95% CI 1.01- 6.51); p=0,04. This probability was 0.64 (0.38-1.09) after the FF. After twelve months of follow-up in FLs, 96% continued treatment, with no differences between men and women. The completion of IOF quality standards was bad (red light) for patient identification items and FLS reference time. It was poor (amber traffic light) for initial OP screening standard and was good (green light) for the remaining 10 indicators. The completion of IOF quality standards was bad (red light) for patient identification items and FLS reference time. It was poor (amber traffic light) for initial OP screening standard and was good (green light) for the remaining 10 indicators (Figure 1).Figure 1.Figure 1.Conclusion:The FLS is a multidisciplinary type A. Its operation has narrowed the gap in diagnosis, treatment, and follow-up of FF patients, especially males. It is essential to improve patient recruitment, reduce referral times and increase the overall assessment of the patients.References:[1]Ganda K. et al. Models of care for the secondary prevention of osteoporotic fractures: a systematic review and meta-analysis, Osteoporos Int 2013;24:293-406.[2]Javaid MK et al. A patient-level key performance indicator set to measure the effectiveness of fracture liaison services and guide quality improvement: a position paper of the IOF Capture the Fracture Working Group, National Osteoporosis Foundation and Fragility Fracture Network. Osteoporos Int. 2020 Jul;31(7):1193-1204.Acknowledgements:Spanish Society of Research in Mineral and Bone Metabolism for its support through the competitive project FLS Excellence 2018 to obtain a training grant from the case management nurse.Disclosure of Interests:Blanca Hernández-Cruz Speakers bureau: Sociedad Española de Reumatología, Abbvie, Roche, Bristol, MSD, Lilly, Pfizer, Amgen, Sanofi, Consultant of: Abbvie, Lilly, Sanofi, STADA, UCB, Amgen, Galapagos., Grant/research support from: Fundación para la Investigación Sevilla, Junta de AndalucíaFundación Andaluza de Reumatología, Sociuedad Española de Reumatología., Francisco Jesús Olmo Montes: None declared., Maria José Miranda García: None declared., María Dolores Jimenez Moreno: None declared., María Angeles Vázquez Gómez: None declared., Mercedes Giner García: None declared., Miguel Angel Colmenero Camacho: None declared., José Javier Pérez Venegas: None declared., María José Montoya García: None declared.

scholarly journals Dynamic Traffic Light Control

2020 ◽  
Vol 8 (6) ◽  
pp. 3228-3231
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Red Light ◽  
Traffic Monitoring ◽  
Intelligent Transport System ◽  
Light Control ◽  
Traffic Light ◽  
Traffic Lights ◽  
Traffic Light Control ◽  
Traffic Management System

Intelligent Transport System (ITS) is blooming worldwide. The Traditional Traffic management system is a tedious process and it requires huge man power, to overcome this we have proposed an automatic Traffic monitoring system that has effective fleet management. The current transportation system at intersections and junctions has Traffic Lights with Fixed durations which increase the unnecessary staying time which intern harms the environment. An Adaptive traffic light control is implemented using SUMO simulator, that changes the duration of Green and Red light according to the traffic flow. This is an effective and efficient way to reduce the Traffic congestion. The traffic congestion is determined by taking the object count using deep learning approach (Convolutional Neural Network).

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 TRAFFIC LIGHT CONTROL USING FUZZY LOGIC MAMDANI METHOD

2019 ◽  
Vol 3 (1) ◽  
pp. 1-10
Author(s):  
Paula Juniana ◽  
Lukman Hakim
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Traffic Congestion ◽  
Green Light ◽  
Light Control ◽  
Traffic Light ◽  
Additional Time ◽  
Traffic Lights ◽  
Traffic Jams ◽  
Traffic Light Control

Traffic congestion is a common occurrence in Indonesia. Traffic congestion is increasing from year to year, causing many things to happen, such as longer travel time, increased transportation costs, serious disruptions to transporting products, decreasing levels of work productivity, and wasteful use of labor energy. Congestion is also caused by a traffic light control system that is made with a fixed time so it can not detect the density of certain paths. Traffic lights in Indonesia, frequent damage that makes the density and the flow of his road vehicles can not be controlled. From these problems, conducted research to reduce the density of vehicles using infrared sensors and see the waiting time of the vehicle when the red light. The traffic light control system will use Fuzzy Logic Mamdani method. In Mamdani method by applying fuzzy into each variable and will be done matching between rule with condition which fulfilled to determine contents of output to be executed by prototype. This congestion detection will help the system in controlling the green light time by looking at stable, medium, and traffic jams. When the bottleneck starts to detect, the prototype will add a green light time according to the condition that is 0 seconds, 5 seconds, 10 seconds, and 15 seconds. However, when the streets are not detected by traffic jams, the green light will be back to normal at 15 seconds without additional time

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 Simulasi Lampu Lalu Lintas Simpang Tiga Balikpapan Permai berbasis PLC OMRON CP1E-N30SDR-A

2019 ◽  
Vol 7 (1) ◽  
pp. 29-37
Author(s):  
Riza Hadi Saputra
Keyword(s):  
Data Collection ◽  
Programming Language ◽  
Motor Vehicle ◽  
Green Light ◽  
Ladder Diagram ◽  
Light Conditions ◽  
Light Control ◽  
Traffic Light ◽  
Traffic Lights ◽  
Traffic Light Control

Today on the highway, especially on crossing roads, motor vehicle users are increasing, both motorbike and car drivers. Not only that, it can be seen from the number that has increased greatly every day. This situation requires the existence of a time setting, whose purpose is nothing but to reduce congestion to the risk of accidents. Therefore, in this study, a traffic light simulation is controlled by OMRON CP1E-N30SDR-A PLC. Traffic light simulation at the three intersections based on PLC OMRON CP1E-N30SDR-A has been made a traffic light control prototype to set the timing of traffic lights at the three intersections based on OMRON CP1E-N30SDR-A PLC. The method used for this research is observation, looking for references about sending data at traffic lights and can be processed on PLC systems. Observations were carried out directly at the place of data collection, namely at Simpang 3 Balikpapan Permai. Programming used to instruct traffic light simulations is to use a ladder diagram programming language created using CX-Programmer software. The purpose of this study is to make a traffic light system in the form of a simulation or prototype that has timing from intersection 3 of Balikpapan Permai. In traffic light simulations, timers are needed to synchronize between available intersections, namely 3 intersections. This is so that the vehicle that passes from one intersection where the traffic light conditions at that time is a green light, then the vehicle no longer waits at the next intersection. The signal is sent from one intersection to another as an indicator so that the intersection can automatically adjust the timing of traffic lights.

scholarly journals Bi-Level Optimization Model for Urban Traffic Control

2021 ◽  
Vol 21 (3) ◽  
pp. 108-126
Author(s):  
Krasimira Stoilova ◽  
Todor Stoilov ◽  
Stanislav Dimitrov
Keyword(s):  
Traffic Control ◽  
Optimization Model ◽  
Dynamical Behavior ◽  
Control Variable ◽  
Green Light ◽  
Urban Traffic ◽  
Traffic Light ◽  
Urban Network ◽  
Traffic Lights ◽  
Urban Traffic Control

Abstract The urban traffic control optimization is a complex problem because of the interconnections among the junctions and the dynamical behavior of the traffic flows. Optimization with one control variable in the literature is presented. In this research optimization model consisting of two control variables is developed. Hierarchical bi-level methodology is proposed for realization of integrated optimal control. The urban traffic management is implemented by simultaneously control of traffic light cycles and green light durations of the traffic lights of urban network of crossroads.

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