scholarly journals Portable Telematic System as an Effective Traffic Flow Management in Workzones

2015 ◽  
Vol 16 (2) ◽  
pp. 99-106 ◽  
Author(s):  
Marek Ščerba ◽  
Tomáš Apeltauer ◽  
Jiří Apeltauer
Keyword(s):  
Traffic Flow ◽  
Traffic Safety ◽  
Traffic Control ◽  
Traffic Management ◽  
Traffic Accidents ◽  
Intelligent System ◽  
Economic Losses ◽  
Road Users ◽  
Traffic Flow Management ◽  
Negative Impacts

Abstract Traffic infrastructure localities with temporal restrictions for example due to reconstructions, or modernization, are important aspects influencing the traffic safety and traffic flow. On the basis of our research, we can identify main factors, which generate travel time loses, and which often cause traffic accidents in bottlenecks. First of all, it is improper late merge, speeding, tailgating, lower tolerance and consideration to other road users. Nervousness and ignorance of drivers also play an important role in generation of traffic congestions, lower level of service and resulting external economic loses. One of the tools eliminating the traffic restriction negative impacts is usage of portable telematics systems. In 2011 to 2013,project ViaZONE was in progress, which was to design an intelligent system with the aim to eliminate the mentioned risks and reduce economic losses generated by traffic congestions. Using available data and information, we have proved profitability and cost-effectiveness of dynamic systems for traffic control of work zones. Regarding traffic management, the system showed some problems due to indisciplined drivers and the system proved that speeding in these hazardous road segments is a common practice which caused accidents and congestions.

scholarly journals Effect Analysis of Intermittent Release Measures in Heavy Fog Weather with an Improved CA Model

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Jing Shi ◽  
Jinhua Tan
Keyword(s):  
Traffic Safety ◽  
Traffic Management ◽  
Traffic Accidents ◽  
Economic Losses ◽  
Time Interval ◽  
Risk Indicator ◽  
Effect Analysis ◽  
Driving Behaviors ◽  
Related Risk ◽  
Ca Model

Heavy fog may easily cause traffic accidents; thus freeway closures are frequently taken in order to ensure traffic safety in China, which not only seriously affect the travel of people, but also bring great economic losses. This paper studies the fog related risk of rear-end collisions and the intermittent release measures taken to reduce such risk; meanwhile, an improved cellular automaton model considering driving behaviors in heavy fog is proposed. The simulation results indicate that the risk indicatorfain fog is much higher than normal weather when cellular occupancyρ<0.5. After taking intermittent release measures, the magnitude offawill drop from 10−4to 10−5under the same fog condition, which greatly enhances the safety. In addition, this paper concludes the appropriate vehicle number released for each time and the time intervalhtbetween adjacent fleets and the maximum number of vehicles𝒬maxwhich can be released per hour. These results can be used as theoretical basis and reference for the traffic management departments to develop intermittent release measures.

Development of a Style Guide for the Traffic Flow Management Traffic Situation Display Graphical User Interface

2016 ◽  
Vol 60 (1) ◽  
pp. 1394-1398 ◽  
Author(s):  
Robert Bastholm ◽  
Anthony Masalonis ◽  
Tanya Yuditsky
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Traffic Management ◽  
Federal Aviation Administration ◽  
Air Traffic ◽  
Management Tool ◽  
Traffic Situation ◽  
User Centered Design ◽  
Flow Management ◽  
Traffic Flow Management

Traffic Flow Management (TFM) functions to minimize airspace congestion and maximize safety and efficiency. TFM personnel at the U.S. Federal Aviation Administration use Traffic Situation Display (TSD) software to observe air traffic and weather systems and issue strategic congestion-mitigation initiatives to Air Traffic Control facilities. Since its initial deployment, the TSD has been augmented by many groups of developers. This distributed process has led to an inconsistent interface that does not always adhere to best usability practices, especially because during the initial stages of development there was little human factors involvement. This can have a detrimental effect on new users learning the interface and also may make experienced users more likely to make errors. We developed a style guide for an operational Air Traffic Management tool, and a companion consistency assessment, to help developers (a) adhere to usability principles for future software expansions and (b) bring older portions of the interface into compliance with user-centered design. We discuss the process of style guide development—including the unique aspects of the TFM user population and application domain and their implications for creating a style guide for TFM software—and the applicability of our guide beyond the TSD tool.

scholarly journals DETERMINATION OF TRAFFIC FLOWS PARAMETERS ON THE MANAGEMENT NETWORK

2020 ◽  
Author(s):  
Nataliia Semchenko ◽  
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Traffic Management ◽  
Traffic Flows ◽  
The Road ◽  
Specific Intensity ◽  
Traffic Flow Management ◽  
On The Road ◽  
Basic Characteristics

The work is devoted to the actual problem of determining the parameters of dense traffic flows on the road cities network, which can be used when introducing automated traffic control systems. The subject of the study is to determine the parameters of traffic flows in the central part of the city. The purpose of the work is to develop methods for determining the parameters of traffic flows of the street and road network on the basis of empirical and analytical modeling to reduce the number of peripheral measuring devices in the automated traffic control system. Methodology. In the given thesis there was solved the applied scientific problem of short-term operational forecasting of the traffic flow intensity on the transport network using the empirical-analytical approach, in which the measurement of traffic flow parameters at the entrances to the area of traffic flow management is carried out by transport detectors, internal local objects are determined by modeling. The proposed model is based on the determination of intensities at approaches to stop lines of internal crossroads of the management area using recurrent sequences. Experimental researches of traffic flows on the network and on the crossings were carried out using video filming during periods of maximum load. A comparative analysis of the simulation results with the experimental data showed that the relative error on a network with an area of 50-60 hectares does not exceed 3%, which indicates the adequacy of the model and the possibility of using it for management tasks. Practical implications. Implementation of the empirical-analytical method in automated traffic management systems will make it possible to reduce the number of detectors by 43-46% depending on the area of traffic management and obtain a sufficient economic effect. The regularities of the movement of dense traffic flows of high specific intensity on short hauls, typical for the central parts of cities, have been investigated. Value/originality. According to experimental results there were obtained approximating models of parameters of the logarithmic normal probabilistic law of time intervals distribution in dense traffic flows, the specific intensity of which exceeds 600 vph; the changes in basic characteristics of the vehicles group in the traffic flow when driving through the road crossing taking into account its intensity and the distance from the group forming object are determined.

scholarly journals The Effects of ITS Application in Speed Management on State Road From Mali Pozarevac to Kragujevac

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Tomislav Petrović ◽  
Miloš Milosavljević ◽  
Milan Božović ◽  
Danislav Drašković ◽  
Milija Radović
Keyword(s):  
Traffic Safety ◽  
Traffic Management ◽  
Quality Data ◽  
Transport Systems ◽  
Speed Limit ◽  
Accident Risk ◽  
The Road ◽  
Road Users ◽  
Speed Management ◽  
On The Road

The application of intelligent transport systems (hereinafter ITSs) on roads enables continuous monitoring of road users during a whole year with the aim to collect good-quality data based on which the more complex analyses could be done, such as monitoring of certain traffic safety indicators. Automatic traffic counters are one of the most commonly implemented ITSs for collecting traffic flow parameters that are relevant for traffic management on state roads in Republic of Serbia. This paper presents one of the possible ways to collect, analyze and present data on road users’ speeds using automatic traffic counters, where certain traffic safety indicators are analyzed in terms of road users’ compliance with the speed limit on the road section from Mali Pozarevac to Kragujevac. Based on the analyses of data downloaded from automatic traffic counters, it is observed that an extremely high percentage of vehicles drive at speed higher than the speed limit, indicating clearly to higher traffic accident risk, as well as to the need for a tendency to implement speed management on roads using ITS in the forthcoming period.

scholarly journals The Effects of Picking Up Primary School Pupils on Surrounding Street’s Traffic: A Case Study in Hanoi

2020 ◽  
Vol 14 (1) ◽  
pp. 237-250
Author(s):  
Dinh Hiep ◽  
Vu V. Huy ◽  
Teppei Kato ◽  
Aya Kojima ◽  
Hisashi Kubota
Keyword(s):  
Primary School ◽  
Traffic Safety ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Primary Schools ◽  
Traffic Accidents ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Almost All

Introduction: One of the significant characteristics of schools in Vietnam is that almost all parents send their children to school and/or pick up their children from school using private vehicles (motorcycles). The parents usually stop and park their vehicle on streets outside the school gates, which can lead to serious congestion and increases the likelihood of traffic accidents. Methods: The objective of this study is to find out factors affecting the picking up of pupils at primary school by evaluating the typical primary schools in Hanoi city. A binary logistic regression model was used to determine factors that influence the decision of picking up pupils and the waiting duration of parents. The behavior of motorcyclists during the process of picking up pupils at the primary school gate has been identified and analyzed in detail by the Kinovea software. Results and Discussion: The study showed that, on the way back home, almost all parents use motorbikes (89.15%) to pick up their children. During their waiting time (8.48 minutes in average), they made a lot of illegal parking actions on the street there by, causing a lot of “cognitive” errors and “crash” points surrounding in front of the primary school entrance gate. Risky picking-up behaviors were significantly observed, i.e. picking-up on opposite side of the school, making a U-turn, backing-up dangerously, parking on the middle of street, and parking on the street next to sidewalk). Conclusion: Based on the analyzed results, several traffic management measures have been suggested to enhance traffic safety and reduce traffic congestion in front of school gates. In addition, the results of the study will provide a useful reference for policymakers and authorities.

scholarly journals Human factor and traffic safety

2017 ◽  
Vol 18 (7-8) ◽  
pp. 49-52
Author(s):  
Ewa Brożyna
Keyword(s):  
Traffic Safety ◽  
Traffic Engineering ◽  
Traffic Management ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Human Person ◽  
Road Transport ◽  
Transport Infrastructure ◽  
Road User ◽  
Road Design

This article deals with issues in the field of traffic engineering. According to its assumptions, traffic is a system consisting of three inseparable elements which are man, vehicle and road. In this article, the author focuses on the relationship between two of these elements: human as a road user and a path that should be a subordinate of the user’s capabilities and convenience. The first part of the article is an introduction to the topic of the article. There are presented the data on the amount of road traffic accidents caused by human factors and the categories of errors committed by drivers. In the further part there were analyzed the biological factors which have influence on driver’s actions such as sight, attention and reaction time with particular emphasis on the imperfections of those factors which should be taken into account when designing roads and organizing traffic because it lets to provide a higher level of road safety. The purpose of this article is to develop practical conclusions for road design and traffic management that will help to better adjust the road transport infrastructure to the capabilities and natural limitations of the human person. These conclusions are included in the summary.

Balance Modelling and Implementation of Flow Balance for Application in Air Traffic Management

2012 ◽  
pp. 1583-1600
Author(s):  
Bueno Borges de Souza ◽  
Li Weigang ◽  
Antonio Marcio Ferreira Crespo ◽  
Victor Rafael Rezende Celestino
Keyword(s):  
Graph Theory ◽  
Traffic Flow ◽  
Support System ◽  
Traffic Control ◽  
Air Traffic ◽  
Flow Management ◽  
Dynamic Regulation ◽  
Additional Information ◽  
Air Traffic Flow ◽  
Traffic Flow Management

This work describes a decision making support system with Graph Theory and Artificial Intelligence methodologies applied to the Brazilian Air Traffic Flow Management. It consists of a flow management model based on graphs with heuristic adaptations for the dynamic regulation of the air traffic flow. The model lays the foundation of the architecture of the Flow Balancing Model (FBM) which integrates the Distributed Decision Support System applied to the Tactical Management of the Traffic Flow (SISCONFLUX), under development, and has the objective of improving the national airspace management. The FBM was proposed to give support to the system in operation at the First Air Defence and Air Traffic Control Integrated Centre (CINDACTA I), by providing additional information to the process applied by the controllers, in order to mitigate the workload and improve the results of their actions. Using flow maximization techniques adapted from Graph Theory, FBM was developed as a model of analysis which determines the separation time between departures from terminals integrating the Brasilia Flight Information Region (FIR-BS), and distributes the slack capacity along the controlled airspace, in order to prevent or reduce traffic congestion in various sectors of FIR-BS. The FBM gives support to traffic flow regulation, assisting the controllers and other units within the SISCONFLUX.

Balance Modelling and Implementation of Flow Balance for Application in Air Traffic Management

2010 ◽  
pp. 38-56
Author(s):  
Bueno Borges de Souza ◽  
Li Weigang ◽  
Antonio Marcio Ferreira Crespo ◽  
Victor Rafael Rezende Celestino
Keyword(s):  
Graph Theory ◽  
Traffic Flow ◽  
Support System ◽  
Traffic Control ◽  
Air Traffic ◽  
Flow Management ◽  
Dynamic Regulation ◽  
Additional Information ◽  
Air Traffic Flow ◽  
Traffic Flow Management

This work describes a decision making support system with Graph Theory and Artificial Intelligence methodologies applied to the Brazilian Air Traffic Flow Management. It consists of a flow management model based on graphs with heuristic adaptations for the dynamic regulation of the air traffic flow. The model lays the foundation of the architecture of the Flow Balancing Model (FBM) which integrates the Distributed Decision Support System applied to the Tactical Management of the Traffic Flow (SISCONFLUX), under development, and has the objective of improving the national airspace management. The FBM was proposed to give support to the system in operation at the First Air Defence and Air Traffic Control Integrated Centre (CINDACTA I), by providing additional information to the process applied by the controllers, in order to mitigate the workload and improve the results of their actions. Using flow maximization techniques adapted from Graph Theory, FBM was developed as a model of analysis which determines the separation time between departures from terminals integrating the Brasilia Flight Information Region (FIR-BS), and distributes the slack capacity along the controlled airspace, in order to prevent or reduce traffic congestion in various sectors of FIR-BS. The FBM gives support to traffic flow regulation, assisting the controllers and other units within the SISCONFLUX.

Study on Optimization of same Route Departure Flights

2014 ◽  
Vol 635-637 ◽  
pp. 1977-1980
Author(s):  
Jian Hui Wang
Keyword(s):  
Traffic Flow ◽  
Technological Process ◽  
Traffic Control ◽  
Flow Management ◽  
Take The Best ◽  
Calculating Method ◽  
Control Rules ◽  
Traffic Flow Management ◽  
Air Control ◽  
Complicated Conditions

One of the prevalent methods in air traffic control is ground holding based on traffic flow management. The thesis is studied from the restriction of departure capacity and some air control rules which bring to a programming method of the same route departure. That is to take the best way to line up a group of departure aircrafts in designated times which hold for take off,and it to modify airlines timetable to smooth traffic peaks at airport during rush-hours. Also in the thesis it brings to some simple checking computations and judgments,including a kind of calculating method for the system in complicated conditions which is made to be the form of technological process chart.

A Method for Predicting Air Traffic Network Flow by Short-Term Probability

2015 ◽  
Vol 713-715 ◽  
pp. 1500-1503
Author(s):  
Jin Feng Kong ◽  
Yu Wang
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Network Flow ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Main Task ◽  
Traffic Flow Prediction ◽  
Flow Prediction ◽  
Probability Prediction

The main task of air traffic management is making adjustments when traffic flow reaches to the maximum capacity of air traffic control. It aims to increase the use ratio of airport and airspace. Air traffic flow prediction is one important part of air traffic management. Usually, air traffic prediction is divided into deterministic flow prediction and probability prediction .We research on the probability prediction on the basis of deterministic flow prediction. By analyzing aircrafts’ experienced flight time distribution, giving experienced distribution function and computing method. The data analysis shows that the accuracy rate increased by 22%.

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