scholarly journals An Integrated Turning Movements Estimation to Petri Net Based Road Traffic Modeling

2019 ◽  
Vol 8 (3) ◽  
pp. 49
Author(s):  
Youness Riouali ◽  
Laila Benhlima ◽  
Slimane Bah
Keyword(s):  
Traffic Flow ◽  
Road Traffic ◽  
Transport Systems ◽  
Traffic Modeling ◽  
New Approach ◽  
Intelligent Transport ◽  
The Road ◽  
Dynamic Estimation ◽  
New Feature ◽  
Overall Functioning

The tremendous increase in the urban population highlights the need for more efficient transport systems and techniques to alleviate the increasing number of the resulting traffic-associated problems. Modeling and predicting road traffic flow are a critical part of intelligent transport systems (ITSs). Therefore, their accuracy and efficiency have a direct impact on the overall functioning. In this scope, a new approach for predicting the road traffic flow is proposed that combines the Petri nets model with a dynamic estimation of intersection turning movement counts to ensure a more accurate assessment of its performance. Thus, this manuscript extends our work by introducing a new feature, namely turning movement counts, to attain a better prediction of road traffic flow. A simulation study is conducted to get a better understanding of how predictive models perform in the context of estimating turning movements.

scholarly journals Technical, economic and social aspects when choosing an effective solution for improving traffic in cities

2020 ◽  
Vol 7 (2) ◽  
Author(s):  
Igor Pugachev ◽  
Aleksey Kamenchukov ◽  
Valentin Shcheglov ◽  
Nina Smirnova
Keyword(s):  
Road Network ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Transport Systems ◽  
Quality And Safety ◽  
Intelligent Transport Systems ◽  
High Quality ◽  
National Project ◽  
Intelligent Transport ◽  
The Road

The national project “Safe and high-quality roads” is aimed at the development, creation and effective use of intelligent transport systems. Today, there are many technical solutions to improve road safety, as well as optimize the process of organizing traffic. Often, these solutions lie not only in the plane of design, in the use of technical means for organizing traffic, in reconstruction of the existing street-road network, but also in the use of intelligent transport systems. The article has developed a concept for the development of a road-road network in Khabarovsk, in connection with the adoption by the Government of the Khabarovsk Territory of a decision on the construction of a transport interchange at the intersection of Voronezh-Bolshaya Streets in Khabarovsk, as part of the national project “Safe and High-Quality Roads” in the Khabarovsk Territory. The collection and analysis of statistical data, over a five-year period, on the types of frequency of occurrence of reported road traffic accidents. Visual and grapho-analytical methods identified the focus of the concentration of traffic accidents at the considered site of the road network of the city of Khabarovsk. Based on the method of conflict points, factors that influence the accident rate of an existing section of the road are studied. Several options for improving the quality and safety of traffic are considered: changing the number of lanes, regulating the traffic light, building a multi-level traffic intersection. Using modern software systems, based on methods of mathematical modeling, for several options developed models of traffic flows, identified the maximum possible comfortable and safe traffic conditions. Substantiated recommendations are given for improving the quality and safety of road traffic by improving the existing road situation.

scholarly journals Measures to ensure road traffic safety on controlled intersections

2019 ◽  
Vol 298 ◽  
pp. 00046 ◽  
Author(s):  
Aleksandr Novikov ◽  
Ivan Novikov ◽  
Anastasiya Shevtsova
Keyword(s):  
Traffic Flow ◽  
Traffic Safety ◽  
Road Traffic ◽  
Weather Conditions ◽  
Transport Systems ◽  
Light Cycle ◽  
Traffic Light ◽  
Intelligent Transport ◽  
Road Traffic Safety ◽  
Rational Distribution

The paper discusses a new approach to ensuring the safety of controlled intersections. In the course of research, the authors found a change in the main characteristics of the traffic flow, which requires constant monitoring in the implementation of the intersection control using a traffic light. The heterogeneity of the composition of the traffic flow is determined and the influence of this parameter on the duration of the resolving signal is established. In addition, the authors determined the influence of weather conditions on the duration of the traffic light cycle and developed an approach to take into account changes in this factor in the calculation of the mode of operation of the traffic light object. As a result of the model experiment, the economic and environmental efficiency of the developed approach is determined. The results obtained in the course of the study are an integral part in the implementation of intelligent transport systems, which confirms the relevance and feasibility of the study. The use of this approach, in addition to integration into the its system, allows to reduce the accident rate of controlled intersections due to the rational distribution of the time of the traffic light object and reduce vehicle delays on the approaches, which together ensures the safety of regulated areas.

scholarly journals The concept of average speed measurements network in the West Pomeranian

2018 ◽  
Vol 19 (12) ◽  
pp. 238-241
Author(s):  
Katarzyna Sosik
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Road Transport ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
The West ◽  
Accident Rate ◽  
Average Speed ◽  
Intelligent Transport ◽  
Road Traffic Safety

The article presents the concept of implementing a network of average speed measurements in the West Pomeranian. The author focused on solutions of Intelligent Transport Systems to improve the safety of road transport. The first part of the article discusses the state of road traffic safety in the West Pomeranian. In the next part, the solutions of Intelligent Transport Systems used to record the speed of road vehicles and the method of data recording and processing were discussed. In the third part, the accident maps and the locations of the stored sectional speed measurements were analysed, on the basis of which the proposition of places for the implementation of the network of average speed measurements was created due to the high accident rate.

Social Cars

2014 ◽  
pp. 176-200
Author(s):  
Ronald Schroeter ◽  
Alessandro Soro ◽  
Andry Rakotonirainy
Keyword(s):  
Mobile Technologies ◽  
Transport Systems ◽  
Self Awareness ◽  
Intelligent Transport Systems ◽  
Intelligent Algorithms ◽  
Intelligent Transport ◽  
Locative Media ◽  
The Road ◽  
Over Time

Intelligent Transport Systems (ITS) encompass sensing technologies, wireless communication, and intelligent algorithms, and resemble the infrastructure for ubiquitous computing in the car. This chapter borrows from social media, locative media, mobile technologies, and urban informatics research to explore three classes of ITS applications in which human behavior plays a more pivotal role. Applications for enhancing self-awareness could positively influence driver behavior, both in real-time and over time. Additionally, tools capable of supporting our social awareness while driving could change our attitude towards others and make it easier and safer to share the road. Lastly, a better urban awareness in and outside the car improves our understanding of the road infrastructure as a whole. As a case study, the authors discuss emotion recognition (emotions such as aggressiveness and anger are a major contributing factor to car crashes) and a suitable basis and first step towards further exploring the three levels of awareness, self-, social-, and urban-awareness, in the context of driving on roads.

Proactive Traffic Merging Strategies for Sensor-Enabled Cars

2010 ◽  
pp. 180-199 ◽  
Author(s):  
Ziyuan Wang ◽  
Lars Kulik ◽  
Kotagiri Ramamohanarao
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Road Traffic ◽  
Control Strategies ◽  
The Road ◽  
Lack Of Information ◽  
Travel Delay ◽  
Hoc Networks

Congestion is a major challenge in today’s road traffic. The primary cause is bottlenecks such as ramps leading onto highways, or lane blockage due to obstacles. In these situations, the road capacity reduces because several traffic streams merge to fewer streams. Another important factor is the non-coordinated driving behavior resulting from the lack of information or the intention to minimize the travel time of a single car. This chapter surveys traffic control strategies for optimizing traffic flow on highways, with a focus on more adaptive and flexible strategies facilitated by current advancements in sensor-enabled cars and vehicular ad hoc networks (VANETs). The authors investigate proactive merging strategies assuming that sensor-enabled cars can detect the distance to neighboring cars and communicate their velocity and acceleration among each other. Proactive merging strategies can significantly improve traffic flow by increasing it up to 100% and reduce the overall travel delay by 30%.

scholarly journals New approach to the organization of entrances to cities using ITS

2019 ◽  
Vol 298 ◽  
pp. 00076
Author(s):  
Sergey Dorokhin ◽  
Evgenii Chirkov ◽  
Sergey Postavnichii
Keyword(s):  
Transport Systems ◽  
Intelligent Transport Systems ◽  
New Approach ◽  
Large Cities ◽  
Intelligent Transport

The article analyses the use of intelligent transport systems, as a result of the study, the authors found that in large cities today, intelligent entries are not used much, which reduces the load on the entry areas. The authors propose an algorithm for organizing entry on the example of Voronezh and propose a method for passing vehicles on the main and secondary roads, as a result of which the efficiency of organizing traffic to large cities is obtained.

Visualisation and Detection of Road Traffic Events Using Complex Event Processing

2018 ◽  
Author(s):  
Paulo Figueiras ◽  
Hugo Antunes ◽  
Guilherme Guerreiro ◽  
Ruben Costa ◽  
Ricardo Jardim-Gonçalves
Keyword(s):  
Real Time ◽  
Road Network ◽  
Road Traffic ◽  
Complex Event Processing ◽  
Advanced Technology ◽  
Transport Systems ◽  
Automatic Identification ◽  
Event Processing ◽  
Time Data ◽  
The Road

In the recent decades, we have witnessed an increase in the number of vehicles using the road infrastructure, resulting in an increased overload of the road network. To mitigate such problems, caused by the increasing number of vehicles and increasing the efficiency and safety of transport systems has been integrated applications of advanced technology, denominated Intelligent Transport Systems (ITS). However, one problem still unsolved in current road networks is the automatic identification of road events such as accidents or traffic jams, being inhibitor to efficient road management. In order to mitigate this problematic, this paper proposes the development of a technological platform able to detect anomalies (abnormal traffic events) to typical road network status and categorize such anomalies. The proposed work, adopts a complex event processing (CEP) engine able to monitor streams of events and detect specified patterns of events in real time. Data is collectively collected and analysed in real-time from loop sensors deployed in Slovenian highways and national roads, providing traffic flows. This prototype will work with a large number of data, being used to process all data, complex event processing tools. All the data used to validate the present study is based on the Slovenian road network. This work has been carried out in the context of the OPTIMUM Project, funded by the H2020 European Research Framework Program.

scholarly journals Incorporation of Duffing Oscillator and Wigner-Ville Distribution in Traffic Flow Prediction

2017 ◽  
Vol 29 (1) ◽  
pp. 13-22 ◽  
Author(s):  
Anamarija L. Mrgole ◽  
Drago Sever
Keyword(s):  
Traffic Flow ◽  
Road Traffic ◽  
Duffing Oscillator ◽  
Traffic Load ◽  
The Road ◽  
Traffic Flow Prediction ◽  
Pattern Recognition Methods ◽  
Flow Prediction ◽  
Time Period ◽  
Specific Section

The main purpose of this study was to investigate the use of various chaotic pattern recognition methods for traffic flow prediction. Traffic flow is a variable, dynamic and complex system, which is non-linear and unpredictable. The emergence of traffic flow congestion in road traffic is estimated when the traffic load on a specific section of the road in a specific time period is close to exceeding the capacity of the road infrastructure. Under certain conditions, it can be seen in concentrating chaotic traffic flow patterns. The literature review of traffic flow theory and its connection with chaotic features implies that this kind of method has great theoretical and practical value. Researched methods of identifying chaos in traffic flow have shown certain restrictions in their techniques but have suggested guidelines for improving the identification of chaotic parameters in traffic flow. The proposed new method of forecasting congestion in traffic flow uses Wigner-Ville frequency distribution. This method enables the display of a chaotic attractor without the use of reconstruction phase space.

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