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 An advanced planner for urban freight delivering

2018 ◽  
Vol 4 (48) ◽  
pp. 27-40 ◽  
Author(s):  
Antonio COMI ◽  
Berta BUTTARAZZI ◽  
Massimiliano SCHIRALDI ◽  
Rosy INNARELLA ◽  
Martina VARISCO ◽  
...  
Keyword(s):  
Real Time ◽  
Web Application ◽  
Road Network ◽  
Time Windows ◽  
Mobile App ◽  
Delivery Time ◽  
Time Data ◽  
Urban Freight ◽  
The Road ◽  
On The Road

The paper aims at introducing an advanced delivery tour planner to support operators in urban delivery operations through a combined approach which chooses delivery bays and delivery time windows while optimizing the delivery routes. After a literature review on tools for the management and the control of the delivery system implemented for optimizing the usage of on-street delivery bays, a prototypical tour delivery planner is described. The tool allows transport and logistics operators to book the delivery bays and to have real-time suggestions on the delivery tour to follow, through the minimization of the total delivery time. Currently, at development phase, the tool has been tested in a target zone, considering the road network and time/city delivering constraints and real-time data about vehicles location, traffic and delivery bay availability. The tool identifies the possible tours based on the delivery preferences, ranks the possible solutions according to the total route time based on information on the road network (i.e. travel time forecasts), performs a further optimization to reduce the total travel times and presents the user the best alternative along with the indications of which delivery bay to use in each delivery stop. The developed prototype is composed by two main parts: a web application that manages communication between the database and the road network simulation, and, an Android mobile App that supports transport and logistic operators in managing their delivering, pre trip and en route, showing and updating routing based on real-time information.

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 DETECTING FLU OUTBREAKS BASED ON SPATIOTEMPORAL INFORMATION FROM URBAN SYSTEMS – DESIGNING A NOVEL STUDY

2018 ◽  
Vol XLII-3/W4 ◽  
pp. 231-237
Author(s):  
L. O. Grottenberg ◽  
O. Njå ◽  
E. Tøssebro ◽  
G. S. Braut ◽  
R. Tønnessen ◽  
...  
Keyword(s):  
Real Time ◽  
Spatial Information ◽  
Road Traffic ◽  
Epidemiological Data ◽  
Urban Transport ◽  
Urban Systems ◽  
Transport Systems ◽  
Time Data ◽  
Spatiotemporal Information ◽  
Seasonal Flu

<p><strong>Abstract.</strong> This paper explores the application of real-time spatial information from urban transport systems to understand the outbreak, severity and spread of seasonal flu epidemics from a spatial perspective. We believe that combining travel data with epidemiological data will be the first step to develop a tool to predict future epidemics and to better understand the effects that these outbreaks have on societal functions over time. Real-time data-streams provide a powerful, yet underutilised tool when it comes to monitoring and detecting changes to the daily behaviour of inhabitants.<br> In this paper, we describe and discuss the design of the geospatial project, in which we will draw upon data sources available from the Norwegian cities of Oslo and Bergen. Historical datasets from public transport and road traffic will serve as an initial indication of whether changes in daily transport patterns corresponds to seasonal flu data. It is expected that changes in daily transportation habits corresponds to swings in daily and weekly flu activity and that these differences can be measured through geostatistical analysis. Conceptually one could be able to monitor changes in human behaviour and activity in nearly true time by using indicators derived from outside the clinical health services. This type of more up-to-date and geographically precise information could contribute to earlier detection of flu outbreaks and serve as background for implementing tailor-made emergency response measures over the course of the outbreaks.</p>

scholarly journals Analysis of the Possibility to Detect Road Vehicles via Bluetooth Technology

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7281
Author(s):  
Răzvan Andrei Gheorghiu ◽  
Valentin Iordache ◽  
Angel Ciprian Cormoș
Keyword(s):  
Road Network ◽  
Road Traffic ◽  
Data Gathering ◽  
Traffic Networks ◽  
Traffic Flows ◽  
Time Data ◽  
Road Vehicles ◽  
The Road ◽  
Big Picture ◽  
Road Traffic Networks

As road traffic networks become more congested and information systems are implemented to manage traffic flows, real-time data gathering becomes increasingly important. Classic detectors are placed in one point of the network and are able to provide information only from that area. As useful as this is, it lacks the big picture of the routes the vehicles usually travel. There are applications developed to help individuals make their way into the road network, but these are no solutions that deal with the cause of traffic; rather, they counteract the effects. It becomes obvious that a proper management system, with knowledge of all the relevant aspects will better serve all travelers. The detection solution proposed in this paper is based on Bluetooth detectors. This system is able to match detected devices in the road network, filter the results, and generate a vehicle count that is proved to follow RADAR detection results.

Fractal Characteristics of Mountain Cities' Traffic Flow Based on EMD and Multifractal

2013 ◽  
Vol 831 ◽  
pp. 430-434
Author(s):  
Ling Zhao ◽  
Juan Cao ◽  
Bo Mi
Keyword(s):  
Traffic Flow ◽  
Road Network ◽  
Road Traffic ◽  
Multifractal Spectrum ◽  
Health State ◽  
Traffic Data ◽  
Time Data ◽  
Flow Signal ◽  
The Road ◽  
Fractal Characteristics

Aim at the characteristics of the mountain cities road traffic network, the short-time data signals in the congestion state of the road network traffic is analyzed. Fractal characteristics of traffic data signal is in research based on the self-similarity of the traffic data signals. The non-stationary property of the traffic flow signal in the congestion state is known through the calculation of the multifractal spectrum of the traffic flow signal based on EMD. The experimental results show the feasibility of the method, which also can provide theoretical support for the traffic flow control of the mountain city road network in the sub-health state.

scholarly journals Automating Road Traffic Monitoring Using Computer Vision

2021 ◽  
Vol 18 (6) ◽  
pp. 74-87
Author(s):  
I. A. Chebykin
Keyword(s):  
Computer Vision ◽  
Monitoring System ◽  
Road Network ◽  
Road Traffic ◽  
Traffic Monitoring ◽  
Transport Systems ◽  
Automation System ◽  
Traffic Flows ◽  
The Road ◽  
Advantages And Disadvantages

The objective of the article is to describe application of computer vision and artificial intelligence technologies for solving the problems of road infrastructure design.The article evaluates the traditional methods of quantitative and qualitative analysis of traffic flows in terms of labour intensity and accuracy using the method of comparative analysis, the advantages and disadvantages of the considered methods are indicated. A new method of traffic flow analysis using unmanned aerial vehicles and computer vision technology based on convolutional neural networks is proposed. The considered method makes it possible to fully automate collection and analysis of data on traffic flows. The article describes the first application of the proposed method when performing transport and economic surveys within the framework of the design of «Northern bypass of the city of Perm». The advantages of the applied method in relation to the traditional ones are described. To implement this project, software was developed for analysing traffic flows using video materials.Further, traffic monitoring is considered, its goals and objectives are described, the necessary functionality of the road traffic monitoring automation system is indicated, the traffic parameters that it should determine are listed. The methodology for implementation of an automated traffic monitoring system based on video materials on a section of the road is considered.A presented project of a traffic monitoring system makes it possible to extend the previously considered approach to the entire road network. Technologies are described that make it possible to implement this system based on video analytics of materials from CCTV cameras. A method for vehicle re-identification is proposed, and the implementation of this method is demonstrated. The method allows building a correspondence matrix of vehicles recorded by CCTV cameras located on different segments of the road network, as well as determining all traffic parameters for the entire street and road network.The conclusions outline the prospects for development of the developed software in terms of application in intelligent transport systems.

Sign in / Sign up

Export Citation Format

Share Document