Surveying traffic congestion based on the concept of community structure of complex networks

2016 ◽  
Vol 27 (12) ◽  
pp. 1650149 ◽  
Author(s):  
Lili Ma ◽  
Zhanli Zhang ◽  
Meng Li
Keyword(s):  
Community Structure ◽  
Traffic Congestion ◽  
Intelligent Transport System ◽  
Traffic Network ◽  
Beijing City ◽  
Network Nodes ◽  
Intelligent Transport ◽  
Congested Traffic ◽  
Network Community ◽  
The City

In this paper, taking the traffic of Beijing city as an instance, we study city traffic states, especially traffic congestion, based on the concept of network community structure. Concretely, using the floating car data (FCD) information of vehicles gained from the intelligent transport system (ITS) of the city, we construct a new traffic network model which is with floating cars as network nodes and time-varying. It shows that this traffic network has Gaussian degree distributions at different time points. Furthermore, compared with free traffic situations, our simulations show that the traffic network generally has more obvious community structures with larger values of network fitness for congested traffic situations, and through the GPSspg web page, we show that all of our results are consistent with the reality. Then, it indicates that network community structure should be an available way for investigating city traffic congestion problems.

A Comprehensive Study on Intelligent Transportation Systems

2018 ◽  
Vol 4 (10) ◽  
pp. 10
Author(s):  
Ankur Mishra ◽  
Aayushi Priya
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Congestion ◽  
Transportation Systems ◽  
Environmental Conservation ◽  
Integrated System ◽  
Transport Systems ◽  
Transport Sector ◽  
Intelligent Transport System ◽  
Intelligent Transport ◽  
Transportation Sector

Transportation or transport sector is a legal source to take or carry things from one place to another. With the passage of time, transportation faces many issues like high accidents rate, traffic congestion, traffic & carbon emissions air pollution, etc. In some cases, transportation sector faced alleviating the brutality of crash related injuries in accident. Due to such complexity, researchers integrate virtual technologies with transportation which known as Intelligent Transport System. Intelligent Transport Systems (ITS) provide transport solutions by utilizing state-of-the-art information and telecommunications technologies. It is an integrated system of people, roads and vehicles, designed to significantly contribute to improve road safety, efficiency and comfort, as well as environmental conservation through realization of smoother traffic by relieving traffic congestion. This paper aims to elucidate various aspects of ITS - it's need, the various user applications, technologies utilized and concludes by emphasizing the case study of IBM ITS.

scholarly journals Reduction of Fuel Consumption and Exhaust Pollutant Using Intelligent Transport Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Mostofa Kamal Nasir ◽  
Rafidah Md Noor ◽  
M. A. Kalam ◽  
B. M. Masum
Keyword(s):  
Greenhouse Gas ◽  
Fuel Consumption ◽  
Traffic Congestion ◽  
Alternative Fuels ◽  
Pollutant Emissions ◽  
Transport Systems ◽  
Transport Sector ◽  
Intelligent Transport System ◽  
Oxides Of Nitrogen ◽  
Intelligent Transport

Greenhouse gas emitted by the transport sector around the world is a serious issue of concern. To minimize such emission the automobile engineers have been working relentlessly. Researchers have been trying hard to switch fossil fuel to alternative fuels and attempting to various driving strategies to make traffic flow smooth and to reduce traffic congestion and emission of greenhouse gas. Automobile emits a massive amount of pollutants such as Carbon Monoxide (CO), hydrocarbons (HC), carbon dioxide (CO2), particulate matter (PM), and oxides of nitrogen (NOx). Intelligent transport system (ITS) technologies can be implemented to lower pollutant emissions and reduction of fuel consumption. This paper investigates the ITS techniques and technologies for the reduction of fuel consumption and minimization of the exhaust pollutant. It highlights the environmental impact of the ITS application to provide the state-of-art green solution. A case study also advocates that ITS technology reduces fuel consumption and exhaust pollutant in the urban environment.

scholarly journals Intelligent Transport System in Chile

2020 ◽  
Author(s):  
Jorge Figueroa ◽  
Raúl Carrasco ◽  
Diego Fuentealba ◽  
Eduardo Viera ◽  
Carolina Lagos
Keyword(s):  
Control Systems ◽  
Road Safety ◽  
Intelligent Transport System ◽  
Intelligent Transport ◽  
The Road ◽  
Control Signals ◽  
Advanced Technologies ◽  
Sophisticated Equipment ◽  
City Of London ◽  
The City

Today, transit control systems go beyond simple controllers located at the intersections of our streets, involving large companies in the field, which with the implementation and use of sophisticated equipment encompass endless new and advanced technologies that manage to give control to the massive automotive park, thus ensuring fluidity and road safety. Many of these systems are used in the big world capitals, which is why the model used in Santiago, Chile is a system applied and brought directly by the SIEMENS Company of England (specifically the system used in the City of London). It is capable of transmitting the different control signals in a similar and digital way from the different interconnected devices in and out of the road infrastructure.

Self-driving vehicle in the telecommunication infrastructure of the city

2020 ◽  
pp. 76-85
Author(s):  
N.N. Kaligin ◽  
◽  
S.U. Uvaysov ◽  
A.S. Uvaysova ◽  
◽  
...  
Keyword(s):  
Transport System ◽  
The Self ◽  
Intelligent Transport System ◽  
Human Machine Interaction ◽  
Road Infrastructure ◽  
Intelligent Transport ◽  
Operation Modes ◽  
Telecommunication Infrastructure ◽  
The City ◽  
Machine Interaction

The paper considers self-driving vehicles as an element in the telecommunication structure of the city. A review of the structure of the intelligent transport system. The operation principles of self-driving vehicles are described using the example of ROS tools. The methods of interaction between vehicles, the methods of interaction of vehicles with road infrastructure, and human-machine interaction are described. The operation modes of the self-driving vehicle and the options for making the user’s decision in the framework of these modes are highlighted.

scholarly journals The role of Internet of Things on intelligent transport system: A traffic optimization model

2020 ◽  
Author(s):  
Islam Saleh Hassanin
Keyword(s):  
Internet Of Things ◽  
Transport System ◽  
Radio Frequency Identification ◽  
Optimization Model ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Traffic Information ◽  
Intelligent Transport System ◽  
Minimization Method ◽  
Intelligent Transport

The road traffic congestion has become an excessive problem and a great pressure on both the governmental and social aspects especially in megacities. Hence, developing control systems that administrate the traffic flows is a vigorous solution, which can solve the problem of traffic congestion especially in megacities that should convert their services to be smart. The Intelligent Transport System (ITS) one of the Internet of Things (IoT) applications that provides a group of pioneer schemes for handling the challenges of traffic congestion. Traditionally, sensor-based structures have been used for gathering traffic information, but the coverage, cost, and real-time matters have remained unexplained. Thus, this paper aims at proposing a new model named Traffic Flow Optimization Model (TFOM) applied in Alexandria as a case study, which is considered a cost-effective and easily maintainable traffic congestion minimization method. It combines Infra-Red (IR) and active Radio Frequency Identification (RFID) technologies. TFOM is designed to minimize traffic congestion, given reroute options to the users, taken decisions regarding congestion, and finally it could be an initial step to help future predictions in linear megacities.

scholarly journals Evaluation of the Feasibility of an Intelligent Transport System for an Urban Area

2021 ◽  
Vol 9 (12) ◽  
pp. 1501-1510
Author(s):  
S. A. Gawande
Keyword(s):  
Traffic Congestion ◽  
Intelligent Transportation System ◽  
New Technology ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Cost Ratio ◽  
Intelligent Transport System ◽  
Intelligent Transport ◽  
Traffic Systems ◽  
Utility Cost

Abstract: The Intelligent Transportation System is one of the burgeoning inventions that uses new technology to solve a variety of issues. Its compatibility with real-world issues in developing nations like India, such as traffic congestion, infrastructure demand, high traffic loads, and non-lane traffic systems. It is critical to assess a technology's potential in order to determine its viability. The goal of this article is to determine the utility cost ratio of implementation so that it may be evaluated without changing the existing infrastructure design. The end result is a utility cost analysis approach that takes social, economic, and environmental issues into account. As a result, the analysis is quickly examined so that the technology may be applied according to its appropriateness. Keywords: Investments, Congestion, Intelligent Transportation System (ITS), Benefits, Traffic.

scholarly journals Analysis of selected elements of smart systems transportation in Szczecin

2018 ◽  
Vol 19 (6) ◽  
pp. 857-860
Author(s):  
Kinga Kijewska
Keyword(s):  
Transport System ◽  
Transport Systems ◽  
Intelligent Transport System ◽  
Intelligent Transport Systems ◽  
Variable Message Signs ◽  
Smart Systems ◽  
Intelligent Transport ◽  
The Subject ◽  
Message Signs ◽  
The City

The aim of the article is to present solutions in the field of intelligent transport systems used in Szczecin. The city of Szczecin, due to its location and communication routes, is an important element of the national transport system. The city's task is to provide all users with efficient mobility, not forgetting to maintain the principles of sustainable development. The way to meet these goals is the implementation of intelligent transport systems. The subject of the research presented in the article are the selected subsystems of the intelligent transport system operating in Szczecin. The analysis was made by verifying information provided by Variable Message Signs.

scholarly journals Traffic Management for Smart Cities using Traffic Density and Swarm Algorithm to Inform Diversion Route

2020 ◽  
Vol 9 (3) ◽  
pp. 3166-3171
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Distance Measure ◽  
Smart Cities ◽  
Time Estimation ◽  
Transportation Systems ◽  
Traffic Density ◽  
Intelligent Transport System ◽  
Intelligent Transport ◽  
Swarm Algorithm

Number of vehicles increasing day by day in the world which results in traffic, air pollution, delay in reaching designation. Traffic density is increased in the roads, especially in the signals. The traffic congestion has negatively affected the efficiency, aggressiveness, and financial development of a nation. Thus, congestion control of traffic has become a significant zone of research, and a substantial number of answers for this issue left different research endeavors in the said field in recent decades. The traffic volume changing after some time, and in this way, long traffic lines are produced at the street intersections. Consequently, the Intelligent Transport System answers these related issues. It has incredible possible and ability to make transportation systems safe and smart efficiently. ITS provides the accessing and driving services of effortlessly participating transportation systems in a smart city. Traffic congestion can be managed in a proper manner by using time estimation and other route diversion in a pre-informed way. For this, we have to calculate the values of traffic congestion density and find the neighboring route. Density algorithm and distance measure algorithm were used to find the traffic density, and the Swarm algorithm was used to find the nearby path.

Sign in / Sign up

Export Citation Format

Share Document