scholarly journals Application of Assignment Problem and Traffic Intensity in Minimization of Traffic Congestion

2021 ◽  
Vol 11 (3) ◽  
Author(s):  
Rachna Rathore
Keyword(s):  
Traffic Control ◽  
Traffic Congestion ◽  
Daily Life ◽  
Fixed Time ◽  
Time Signal ◽  
Traffic Intensity ◽  
Assignment Model ◽  
Preset Time ◽  
Traffic Control System ◽  
Day By Day

In our daily life, we are facing several problems; Traffic congestion is one of them, which is becoming serious day by day. High number of vehicles on road, insufficient infrastructure, unreasonable developments are some reasons for increasing traffic congestion. The aim of this paper is to introduce a mathematical model which can be applied to traffic control system having fixed time signal with preset time to minimize traffic congestion at an intersection. In this paper, we use the concept of traffic intensity and Assignment model for traffic congestion minimization.

scholarly journals DENSITY BASED TRAFFIC CONTROLLER SYSTEM USING WIRELESS SENSOR NETWORKS

2021 ◽  
Vol 10 (3) ◽  
pp. 111-116
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Red Light ◽  
Fixed Time ◽  
Wireless Sensor ◽  
Signal System ◽  
Traffic Control System ◽  
Smart Traffic ◽  
Manual Mode

This traffic controller system aims at designing a dynamic automated traffic control system where the signal and time limit will be automatically changed when it detects traffic congestion in any lane. Traffic congestion is a major problem in many cities around the world so it is urgent need to switch over from manual mode or timer mode to an automated traffic control system that has the power to make decisions on its own. The current traffic signal system is working on fixed time which may not work if one route gets more traffic than other lane. To overcome this problem, a smart traffic control system is proposed. When using this system high traffic congestion on a particular lane receives green for a longer period of time compared to the other lanes which has normal vehicle flow. Therefore, the proposed method of providing green and red light time is based on the amount of traffic congestion at the time with the help of an IR sensor and Sound sensors connected to ATmega 2560 Microcontroller.

scholarly journals Density based Traffic Control System Embedded with Patient Weightage Method

2019 ◽  
Vol 8 (10S) ◽  
pp. 377-381
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Detection System ◽  
Raspberry Pi ◽  
Emergency Vehicle ◽  
Dynamic Flow ◽  
Smooth Flow ◽  
Emergency Vehicles ◽  
Traffic Control System

Every now and then traffic congestion has always been a hindrance in everyone’s normal life routine. This traffic congestion hindrance is very much problematic in case of high priority emergency vehicles namely ambulances, VIP vehicles, fire engines etc. So, traffic control has to be made proficient to provide smooth flow of vehicles. However, efficient synchronization of traffic at multiple junctions is complex. Conventional control systems do not handle the dynamic flow of traffic which results in chaos. In this project, implementation of an emergency vehicle detection system is done. The main objective is to provide a traffic-free route to the vehicles in order to save life. In this paper two cases are considered, in the initial case, the lane density at the junction will be calculated using ultrasonic sensors by Raspberry pi (Rpi) and the lane with minimal density route will be directed to the emergency vehicle NodeMcu in this case. Considering the assumption that hospital is present near to every lane. And in the second case, the conflict arises when two emergency vehicles are encountered at the same time at a junction, so this conflict is resolved in thispaper.

scholarly journals Density based Automatic Traffic Junction Synchronization

2019 ◽  
Vol 8 (2) ◽  
pp. 5781-5786
Keyword(s):  
Control System ◽  
Video Processing ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Noise Pollution ◽  
Moving Vehicle ◽  
Metropolitan Cities ◽  
Commuting Time ◽  
Traffic Control System ◽  
Slow Moving

Traffic congestion nowadays has become a chronic issue in the Metropolitan cities due to which it takes more time to travel than the same distance travelled during the off peak hours. This decreases the productivity of an individual by instances such as delayed delivery of services, unnecessary fuel consumption, air and noise pollution, delay in the case of emergency. The traffic congestion has become a predominant problem due to the rapid increase in the demand of vehicles. In places where junctions are closely spaced, encounter a typical issue of lingering in the same traffic signal for multiple times due to the slow moving vehicle caused by congestion. In order to control this issue, research works have been carried out in automating the traffic control system with the help of sensors, image or video processing and also by prioritizing emergency vehicles approaching the junctions. However, employing camera to monitor the traffic is an expensive task. Thus, we are proposing the Density based synchronous of junctions that are closely placed which helps us to save our commuting time significantly and thus enhancing one’s productivity

scholarly journals Research of the changeability of the vessels traffic intensity of inland waterways – case study for Lower Vistula

2018 ◽  
Vol 58 ◽  
pp. 01012
Author(s):  
Patrycja Jerzyło ◽  
Aleksandra Wawrzyńska
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Model ◽  
Traffic Intensity ◽  
Traffic Flows ◽  
Inland Waterways ◽  
Inland Waterway ◽  
Traffic Control System ◽  
Vistula Delta

The article presents an analysis of the changeability of traffic intensity of inland waterway vessels in the Vistula Delta. The concept of traffic intensity was defined, traffic flows and disturbances were identified in the studied area. The characteristics of the inland waterway traffic model are presented. The results of the analysis indicate the need to carry out modernization of inland waterways for the needs of inland waterway transport: introduction of a traffic control system, unification of the navigational marking system and strict correlation of renovation/modernization works of hydrotechnical structures with a navigation period.

scholarly journals Adaptive Traffic Light Control Based on Actual Condition Using Google Map API

2019 ◽  
Vol 3 (2) ◽  
pp. 61
Author(s):  
Adi Sabwa Isti Besari Arkanuddin ◽  
Selo Sulistyo ◽  
Anugerah Galang Persada
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Actual Condition ◽  
Light Control ◽  
Traffic Light ◽  
Road Density ◽  
Traffic Light Control ◽  
Traffic Control System ◽  
Google Map Api

Traffic congestion is one of the main problems in transportation sector and it causes a lot of drawbacks to public. The traffic light system is used to reduce the level of occurring traffic congestion. Generally, the available traffic light systems use a fixed time setting. This old traffic control system is no longer able to manage the ever-changing traffic conditions effectively and efficiently, causing a long queue of vehicles. To overcome this problem, a traffic light control system that can adapt to actual conditions of road density and can run automatically is offered. This system utilizes Google Map API as a road density data source. The result of this study is a traffic control system that can adjust the green light time duration based on the obtained density values and density trends, simulation of this adaptive system as well as simulation results analysis. A prototype of this adaptive control system was also produced in this study.

scholarly journals Intelligent Traffic Control System Using ARM7 Controller and Image Processing Techniques

2021 ◽  
Vol 11 (4) ◽  
pp. 2726-2735
Author(s):  
Dr.E.V. Krishna Rao ◽  
N. Alekhya ◽  
K. Rupa ◽  
M. Sai Sujith ◽  
Sk Abdulla Aman Ahmed
Keyword(s):  
Control System ◽  
Time Delay ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Current Model ◽  
Urban Traffic ◽  
Emergency Vehicle ◽  
Traffic Lights ◽  
Alert Message ◽  
Traffic Control System

The urban traffic congestion is being increased day by day due to large number of vehicles are used by dense people in cities. In the current model of the Traffic Control System, the time delay of each signal light is static which leads to lot of waiting time and was tage of fuel. To overcome this problem, intelligent traffic management system of controlling the traffic lights using the ARM 7 controller and camera sensor is proposed. The camera which is installed along the pavement captures the real time video of the road. The video is then processed indifferent stages to find the number of vehicles in that particular lane using Convex hull technique and accordingly the time delay of the traffic signals has been changed dynamically. Incase, if an emergency vehicle like ambulance is detected by RF434 in a particular lane then automatically this lane will be given the highest priority to clear the traffic. Another feature is if any vehicle violates the traffic line that can also be identified by the RFID reader and automatically and an alert message will be sent to registered mobile number through GSM module which is interfaced with LPC2148.

scholarly journals Pedestrian-Friendly Traffic Signal Control Using SUMO

10.29007/c6k6 ◽  
2019 ◽  
Author(s):  
Görkem Akyol ◽  
Mehmet Ali Silgu ◽  
Hilmi Berk Çelikoğlu
Keyword(s):  
Traffic Control ◽  
Fixed Time ◽  
Traffic Signal Control ◽  
Signal Phase ◽  
Road Vehicles ◽  
Case Comparison ◽  
Pedestrian Traffic ◽  
Traffic Control System ◽  
Adaptive Traffic Control ◽  
Adaptive Signal

The center of the Kadıköy area in Istanbul is extremely crowded due to overlap of the terminals for the subway and the marine transit lines. When the Kadıköy-Kartal subway’s terminal is added in the middle of the Kadıköy in 2013 without the analysis on crowd dynamics, vehicular and pedestrian traffic have become much more complicated to be efficiently managed. When the pedestrians have a crossing gap, most of them make the decision of crossing without considering the signal phase. Likewise, when it is a pedestrian clearance phase, there can be situations where all the pedestrians cannot cross the street because of high density and insufficient green time. We therefore propose an adaptive traffic control system considering the traffic flows of road vehicles and pedestrians with field data. We have utilized the Eclipse SUMO micro-simulator in conjunction with TraCI for modeling the case. Comparison of fixed time and adaptive signal controllers is provided. Simulations have shown that, reductions in the delay time for both vehicles and pedestrians are achieved by using adaptive signal controllers.

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