A Novel Wireless Mobility Monitoring and Tracking System

2016 ◽  
Vol 4 (2) ◽  
pp. 55-71 ◽  
Author(s):  
Antonio J. Fernández-Ares ◽  
Antonio Miguel Mora-Garcia ◽  
María I. García-Arenas ◽  
Pablo García-Sánchez ◽  
Gustavo Romero ◽  
...  
Keyword(s):  
Tracking System ◽  
Portable Devices ◽  
Traffic Flows ◽  
Average Speed ◽  
Traffic Lights ◽  
The Road ◽  
System Nodes ◽  
Smart Traffic ◽  
The City ◽  
Computing Speed

This paper presents a mobility monitoring system, based on the detection of Bluetooth and WiFi signals emitted by personal portable devices. The work also describes its possibilities of tracking in two real scenarios, one inside the Spanish city of Granada, and another one in a highway between Granada and Málaga, both with several detection nodes. They have been deployed trying to solve one of the most difficult issues in the city, namely the automatic and accurate hourly monitoring of traffic, in order to synchronise the traffic lights, for instance. Moreover, their deployment in a highway might be very useful for other traffic issues, such as computing the average speed in a section of the road. Thus, this system could be used as a tool for smart city and smart traffic. In the experiments, the datasets gathered by the system nodes are analysed, yielding useful information for the automatic detection of rush hours, the identification of traffic flows and computing speed rates.

LIGHT REGULATION SYSTEMS IMPROVEMENT ANALYSIS TO FORECAST THE TRANSPORT FLOWS IN ALMATY

2021 ◽  
Vol 116 (1) ◽  
pp. 299-304
Author(s):  
Assel Aliyadynovna Sailau
Keyword(s):  
Environmental Pollution ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Light Regulation ◽  
Transport Network ◽  
Traffic Flows ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Transport Telematics

The number of vehicles on the roads of Almaty, Kazakhstan is growing from year to year. This brings about an increasing intensity and density of traffic flows in the streets which leads to congestion, decreasing speed of the traffic flow, increasing environmental pollution caused by car emissions, and which can potentially lead to the road traffic accidents (RTA), including fatalities. While the number of injuries grows up mainly due to drivers’ non-compliance with the speed limit, the environmental pollution is caused by longer traffic jams. Therefore, to reduce the level of road traffic injuries and emissions into the environment it is necessary to ensure the uniform movement of traffic flows in cities. Currently, one of the effective ways to do it is the use of transport telematics systems, in particular, control systems for road signs, road boards and traffic lights. The paper presents an analysis of existing systems and methods of traffic light regulation. The  analyses of the systems and methods are based on the use of homogeneous data, that is the data on standard parameters of traffic flows. The need in collecting and analyzing additional semi-structured data on the factors that have a significant impact on the traffic flows parameters in cities is shown as well. The work is dedicated to solving the problem of analysis and forecast of traffic flows in the city of Almaty, Kazakhstan. GPS data on the location of individual vehicles is used as the initial data for solving this problem. By projecting the obtained information onto the graph of the city's transport network, as well as using additional filtering, it is possible to obtain an estimate of individual parameters of traffic flows. These parameters are used for short-term forecast of the changes in the city's transport network.

scholarly journals IMPROVEMENT OF THE CITY TRANSPORT SYSTEM BY MEANS OF SIMULATION

2019 ◽  
Vol 8 (6) ◽  
Author(s):  
Polina A. Buyvol ◽  
Gulnara A. Yakupova ◽  
Irina V. Makarova
Keyword(s):  
Transport System ◽  
Traffic Management ◽  
Road Network ◽  
System Analysis ◽  
Computer Experiment ◽  
Simulation Models ◽  
Traffic Lights ◽  
The Road ◽  
Transport Services ◽  
The City

The transport system plays an important role in human activities and is an integral part of the successful functioning of the urbanized area. The increasing degree of provision of urban residents with transport services should at the same time keep the environment environmentally friendly and sustainable over time. The article is devoted to the issues of ensuring the rational functioning of the city transport system based on the development and implementation of an intelligent road infrastructure management system, the intellectual core of which are simulation models of problem areas of the road network. The objective of the study is the development of tools for organizing traffic in the conditions of the rapid growth of the fleet of vehicles. Research tasks were to analyze the research in the field of traffic management, to consider methods to reduce and prevent traffic jams on roads in general and in individual sections in particular. The following research methods were used: methods of system analysis, methods of modeling traffic flows, simulation, computer experiment. Achievements: the developed simulation model can be used to conduct a computer experiment in order to select the optimal parameters for the functioning of traffic lights on a specific section of the road network of the city of Naberezhnye Chelny

scholarly journals Characteristics of Traffic Flows at Kuda Mati non-traffic light Intersection in Workhour and Holidays

2018 ◽  
Vol 73 ◽  
pp. 08030
Author(s):  
F. Betaubun Herbin
Keyword(s):  
Traffic Flow ◽  
Movement Pattern ◽  
Survey Method ◽  
Traffic Flows ◽  
Traffic Light ◽  
City Center ◽  
Work Time ◽  
Traffic Lights ◽  
Economic Support ◽  
The City

Characteristics of traffic flow needs to be revealed to describe the traffic flow that occurred at the research location. One of the patterns of traffic flow movement of Merauke Regency that is important enough to be observed is the movement pattern that occurs at Kuda Mati Non-traffic lights Intersection. This intersection is one of the access for economic support of Merauke Regency. The intersection connects the city center to the production centers and is used by the community to perform activities in meeting their needs such as working and meeting the needs of clothing, food and shelter. This fulfillment activity is usually differentiated according to work time and holiday time. The method used is survey method to describe the characteristics of traffic flow at the intersection. Data analysis applied MKJI 1997. The results show that peak hour traffic flow occurs at 17.00 - 18.00 on holiday 803 smp / hour, while for working time the traffic flow is evenly distributed with maximum vehicle volume occur at 12:00 to 13:00 which amounted to 471 smp / hour.

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 The use of a simulation model to analyze the impact of heavy transport generated by the port to the city traffic.

2017 ◽  
Vol 42 (1) ◽  
pp. 25-42 ◽  
Author(s):  
Natalia Stasiak ◽  
Leszek Smolarek
Keyword(s):  
Average Length ◽  
Autonomous Vehicle ◽  
Urban Traffic ◽  
Microscopic Simulation ◽  
Traffic Lights ◽  
The Road ◽  
Time Of Travel ◽  
The Impact ◽  
The City ◽  
The Web

Abstract The article presents an analysis of the impact of transport on heavy urban traffic on Wharf Kwiatkowski using program PTV Vissim. The data for analysis were taken from the Road and Greenery in Gdynia from program PTV Visum. Attention has been focused on vehicle traffic in the afternoon the top of its intensity. Model of Kwiatkowskiego Wharf, made entirely in the PTV VISSIM, was used for microscopic simulation of traffic. With its help, it was possible to find and analyze the behavior of each autonomous vehicle and interactions on the Web. For the analysis was used as a program of traffic lights currency at these junctions. The analysis results of simulation in the PTV VISSIM are related to the movement of the two structures. The first assumes that the route will move cars and trucks, taking into account their share in the network based on the intensity of traffic during peak hours of the afternoon, the second consisted only of cars. The results presented are based on measuring the time of travel and delays on specific relationships and the average length of queues at selected inlets. The results of analysis and simulation tests were subjected to statistical analysis.

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.

scholarly journals IOT Based Intelligent Street Lighting System for Smart City

2018 ◽  
Vol 7 (2.32) ◽  
pp. 345
Author(s):  
K Bhagavan ◽  
S Sai saketh ◽  
G Mounika ◽  
M Vishal ◽  
M Hemanth
Keyword(s):  
Simultaneous Detection ◽  
The Internet ◽  
Similar Data ◽  
Lighting System ◽  
Traffic Lights ◽  
The Road ◽  
Turn On ◽  
The Status ◽  
The City ◽  
New Framework

This venture goes for planning and executing the propelled advancement in inserted frameworks for vitality sparing of road lights. As of now we used manual framework i.e In night the road lights will be ON in the night prior and turned OFF in following day morning. Be that as it may, the real planning for these traffic lights would be exchanged to ON condition when there will be is total obscurity. Here, dissipation of power occurred up to a specified degree. Result of this, we have wastage of power. Additionally, physical operation is completely absent in proposed lighting framework. This New framework give an answer for vitality sparing. This is accomplished by detecting and moving toward a vehicle utilizing an transmitter of InfraRed; and a Receiver which is made with with infrared. Simultäneous detection of sensor developmental transmit the information for a micròcontroller which conjointly switching ON light Essentially when the vehicle or a deterrent leaves the Light extort turning OFF when a sense is made by a sensor for each question in a mèantime the status; (Turn ON / Turn OFF) of street light of the road got to from anyplace and buttoned up web. Venture actualized over; a savvy inserted framework which supervisions roadway  lights in light identification of trucks/Busses/cars etc or some other obstructions.; On any occasion that snag will distinguished in the city inside required predefined timeperiod naturally ON/OFF of light occured as indicated by hindrance discovery & a similar data can be gotten to through web. By using the Internet, from any place we can get road light continuous data i.e (ON/OFF) whenever, required.  

Delay Optimization Using Genetic Algorithm at the Road Intersection

2019 ◽  
Vol 9 (2) ◽  
pp. 1-10 ◽  
Author(s):  
Bharti Sharma ◽  
Sachin Kumar
Keyword(s):  
Genetic Algorithm ◽  
Traffic Control ◽  
Road Traffic ◽  
Real Data ◽  
Traffic Data ◽  
Control Performance ◽  
Traffic Flows ◽  
The Road ◽  
Detection Systems ◽  
The City

Metropolitan road traffic mechanisms in developing countries are a critical problem due to fast motorization. The optimization of traffic control is one method to decrease this problem. In this study, a genetic algorithm was implemented to minimize delay at an intersection by finding red and green cycle intervals at an intersection. The objective function minimizes the delay at an intersection and increases progressive flows of traffic on roads. The study was done on real data collected from three t- intersections in the city of Hardwar, India. Traffic data for traffic flows, queue sizes, and traffic speed are collected using video detection systems in the study area. The digital images from the camera were analyzed in real time. The results show that the traffic control performance is improved up to 85% over existing algorithms proposed by the same author.

scholarly journals Intersection Intelligence: Supporting Urban Platooning with Virtual Traffic Lights over Virtualized Intersection-Based Routing

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 4054 ◽  
Author(s):  
José Saiáns-Vázquez ◽  
Esteban Ordóñez-Morales ◽  
Martín López-Nores ◽  
Yolanda Blanco-Fernández ◽  
Jack Bravo-Torres ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Routing Protocols ◽  
Vehicular Networks ◽  
State Of The Art ◽  
Traffic Flows ◽  
Traffic Lights ◽  
The Road ◽  
V2v Communication ◽  
Vehicle To Vehicle ◽  
V2v Communications

The advent of the autonomous car is paving the road to the realization of ideas that will help optimize traffic flows, increase safety and reduce fuel consumption, among other advantages. We present one proposal to bring together Virtual Traffics Lights (VTLs) and platooning in urban scenarios, leaning on vehicle-to-vehicle (V2V) communication protocols that turn intersections into virtual containers of data. Newly-introduced protocols for the combined management of VTLs and platoons are validated by simulation, comparing a range of routing protocols for the vehicular networks with the baseline given by common deployments of traditional traffic lights ruled by state-of-the-art policies. The simulation results show that the combination of VTLs and platoons can achieve significant reductions in travel times and fuel consumption, provided that proper algorithms are used to handle the V2V communications.

scholarly journals The Influence of the Traffic Lights on Behaviour of Pedestrians at the Road Crossings

2019 ◽  
Vol 49 (2) ◽  
pp. 245-266 ◽  
Author(s):  
Mateusz Rydlewski
Keyword(s):  
Pedestrian Safety ◽  
Basic Data ◽  
Traffic Lights ◽  
The Road ◽  
Pedestrian Traffic ◽  
Comparison Of The Results ◽  
Pedestrian Crossing ◽  
The City

Abstract The article addressed the behaviour of pedestrians at road crossings based on the conducted studies. The introduction includes the discussed restrictions of pedestrian traffic in the city and basic data on pedestrian safety. The article presented the results of research including the behaviour of people at pedestrian crossings. The research included two types of pedestrian crossing: with and without traffic lights. Based on the observations made during the research and comparison of the results presenting the behaviour of pedestrians on both types of crossings, the influence of the traffic lights on behaviour of pedestrians at the road crossings was presented.

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