IMPROVING TRAFFIC FLOW AT INTERSECTION USING INTELLIGENT TRAFFIC MANAGEMENT SYSTEM

In this study, a proposed intelligent traffic management system is presented making use of the wireless sensor network for improving traffic flow.  By making use of the clustering algorithm, VANET environment is utilized for the proposed system. The components of the proposed system include sensor node hardware, vehicle detection system through magnetometer, and UDP protocol for communication between the nodes. The intersection control agent receives the information about the vehicles and by making use of its algorithm, it dynamically changes the traffic light timings. By making use of the greedy algorithm, the system can be enhanced to a wider area by connecting multiple intersections

Scheduling and Optimization of Traffic Lights in Vanet

With the advent of various advances in vehicles, traffic congestion is a serious problem in big cities. With the number of vehicles increasing rapidly, especially in cities, the situation is getting even worse. Traffic lights are used to control the flow of traffic, which can help peoples to reach their destination without any unnecessary delay of traffic Congestion at cross road. Currently, fixed cycle traffic light system manages traffic, throughput of traffic decreases at intersections during rush hours. Hence, an Adaptive traffic light scheduling system is proposed here. This system dynamically changes the cycle of traffic lights according to current traffic, and even the scheduling scheme is modified for avoiding unnecessary delay. Advances of Vehicles led to vehicular communication through Vehicular Ad hoc Network (VANET). Communication between Vehicle to Vehicle and Vehicle to Infrastructure is now possible. In this proposed approach, real-time speed and position information is aggregated from individual vehicles to improve traffic flow at intersections (crossroads), so that, vehicle can travel with minimum delay. Various scheduling algorithms are compared with respect to platoons of vehicles. The main goal is to reduce average delay, fuel consumption and air pollution. This would eventually reduce the Drivers Fatigue

Aplicación de teoría de colas en los semáforos para mejorar la movilidad en la Carrera 7 entre Calles 15 y 20 de la ciudad de Pereira

Este trabajo ilustra el comportamiento del tráfico vehicular del circuito que se encuentra comprendido en la carrera 7ª entre calles 15 y 20, utilizando como herramienta de análisis, el software de simulación promodel, en el cual se introducen los valores de las variables contempladas en la situación actual como lo son: tiempos de ciclos de los semáforos, los desfases de tiempos entre estos, entradas promedio de vehículos al circuito, entre otras. Estas variables se obtuvieron presencialmente en el circuito de estudio a distintas horas del día y todos los días de la semana exceptuando los días domingos, esto con el fin de obtener promedios que abarcaran las horas pico y las horas llano de la congestión vehicular del sistema evaluado. Una vez obtenidos estos valores, se elaboró su respectivo modelo en el software mencionado y se corrió durante 12 horas. Con los resultados obtenidos en el modulo de estadísticas del software se realizo el respectivo estudio del sistema y se comparó con la situación actual y con un modelo teórico de "Teoría de Colas". Con ésta comparación se obtuvo que la simulación era representativa respecto la situación actual, ya que se obtuvo un margen de error promedio del 7,16%. Por otro lado, el modelo teórico demostró que las colas del sistema se encontraban colapsadas, esto se debe a que la tasa de entrada es mayor que la tasa de servicio del sistema. Finalmente se plantearon diferentes programaciones de tiempos y sus desfases, con el fin de encontrar un modelo que mejore el sistema actual de la población objetivo.This work shows the vehivcular traffic behavior circuit in the 7th avenue between 15 and 20 street, using as anlysis tool, the simulation software promodel, in the which is introducing the values of the variables in the actual situation as are: cycle time of the traffic lights, the mismatch of time between them, as well. This variable is getting presentialy in the circuit of study in different hours of the day and every day excepting Sundays, this have the purpose of get the information in the congestionated hours and the calm hours of the vehicular traffic. Once upon get this information is elaborated the respective model in the software andrun during 12 hours. The results is got in the stradistics windows of the software it was realized the respective study of the system and its compare with the actual situatin and with a theoric model of “Queuing theory” with this comparation its got the simulation was it representating respect actual situation. its getting mistake range average of 7,16%, in the other side, the system its found colapsed this is due to the entry range is bigger than service range of system, finally is planted different times programation its mismatch in the end, find a model that enhaced the actual system of the population objective

GreenSwirl: Combining traffic signal control and route guidance for reducing traffic congestion

VNC2014 : IEEE Vehicular Networking Conference , Dec 3-5, 2014 , Paderborn, GermanySerious traffic congestion is a major social problem in large cities. Inefficient setting of traffic signal cycles, especially, is one of the main causes of congestion. Green Wave is a method for controlling traffic signals which allows one-way traffic to pass through a series of intersections without being stopped by a red light. Green Wave was tested in several cities around the world, but the results were not satisfactory. Two of the problems with Green Wave are that it still stops the crossing traffic, and it forms congestion in the traffic turning into or out of the crossing streets. To solve these problems, we propose a method of controlling traffic signals, GreenSwirl, in combination with a route guidance method, GreenDrive. GreenSwirl controls traffic signals to enable a smooth flow of traffic through signals times to turn green in succession and through non-stop circular routes through the city. The GreenWave technology is extended thereby. We also use navigation systems to optimize the overall control of the city's traffic. We did a simulation using the traffic simulator SUMO and the road network of Manhattan Island in New York. We confirmed that our method shortens the average travel time by 10%-60%, even when not all cars on the road are equipped to use this system

A review of traffic signal control methods and experiments based on Floating Car Data (FCD)

Abstract This paper intends to give a short review of the state of the art on the use of floating car data concerning the management of traffic flow at signalized intersections. New technologies such as connected and autonomous vehicles and Co-operative Intelligent Transportation Systems (C-ITS) are going to change the future of traffic control and management. Traffic signal control systems can be reorganized by using Floating Car Data (FCD), yet the concept of floating car data (FCD) has been mainly studied to gain traffic information and/or signal information. Only recent works have been focalizing on the potential application of FCD for traffic signal real-time control. This paper aims to evidence the most important concepts that can be extracted from the literature on this important topic

mobile systems applied to traffic management and safety a state of the art

Abstract Mobile systems applied to traffic management and control and traffic safety have the potential to shape the future of road transportation. The following innovations, that will be deployed on a large scale, could reshape road traffic management practices: – the implementation of connected vehicles with global navigation satellite (GNSS) system receivers; – the autonomous car revolution; – the spreading of smartphone-based systems and the development of Mobile Cooperative Web 2.0 which is laying the base for future development of systems that will also incorporate connected and autonomous vehicles; – an increasing need for sustainability of transportation in terms of energy efficiency, traffic safety and environmental issues. This paper intends to provide a state of the art on current systems and an anticipation of how mobile systems applied to traffic management and safety could lead to a completely new transportation system in which safety and congestion issues are finally properly addressed

A Strategy for Emergency Vehicle Preemption and Route Selection

Emergency vehicle preemption (EVP) aims to give right of way to emergency vehicles (EV) heading toward the incident location through a network of signalized intersections by creating a green wave en-route. The design goals of EVP systems are two folds: first, to avoid any hindrance to the passage of EV along the road and at the intersections and second, to reduce the negative impact of preemption on general traffic. The negative impact of EVP on normal traffic can be minimized by selecting appropriate preemption strategy. The EVP schemes proposed earlier aim to minimize the travel time of the EV with no or little consideration to the negative impact of EVP on the normal traffic. In this study, a joint strategy for optimal path selection and EV preemption is developed. The proposed scheme selects the optimal path for the EV before it departs from its origin and then activates the preemption on each intersection en-route at the right time to clear the intersection before the EV reaches. The proposed EVP scheme also aims to minimize the impact of EVP over normal traffic at both stages (i.e., path selection phase and preemption phase). A major advantage of the proposed method is that once the optimal path is selected, the emergency information can be disseminated to other vehicles using vehicle-to-vehicle and vehicle-to-infrastructure communication in the EV path to clear the entire route or the approaching lane. The strategy was tested using a microscopic simulation environment for a real traffic network. The findings indicated a major reduction in the travel time of the EV while minimizing the impact of preemption on the normal traffic. The proposed strategy and evaluation procedure can be helpful for corresponding agencies and practitioners to assess the impact of implementing preemption on existing or proposed arterials. - 2019, The Author(s).Open access funding provided by the Qatar National Library.Scopu