A Spatio-Temporal Flow Model of Urban Dockless Shared Bikes Based on Points of Interest Clustering

With the advantages of convenient access and free parking, urban dockless shared bikes are favored by the public. However, the irregular flow of dockless shared bikes poses a challenge for the research of flow pattern. In this paper, the flow characteristics of dockless shared bikes are expounded through the analysis of the time series location data of ofo and mobike shared bikes in Beijing. Based on the analysis, a model called DestiFlow is proposed to describe the spatio-temporal flow of urban dockless shared bikes based on points of interest (POIs) clustering. The results show that the DestiFlow model can find the aggregation areas of dockless shared bikes and describe the structural characteristics of the flow network. Our model can not only predict the demand for dockless shared bikes, but also help to grasp the mobility characteristics of citizens and improve the urban traffic management system.

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Spatio-Temporal Visual Analysis for Urban Traffic Characters Based on Video Surveillance Camera Data

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10030177 ◽

2021 ◽

Vol 10 (3) ◽

pp. 177

Author(s):

Haochen Zou ◽

Keyan Cao ◽

Chong Jiang

Keyword(s):

Video Surveillance ◽

Traffic Management ◽

Visual Analysis ◽

Urban Traffic ◽

License Plate ◽

Road Vehicle ◽

Urban Road ◽

Surveillance Camera ◽

Vehicle Density ◽

Spatio Temporal

Urban road traffic spatio-temporal characters reflect how citizens move and how goods are transported, which is crucial for trip planning, traffic management, and urban design. Video surveillance camera plays an important role in intelligent transport systems (ITS) for recognizing license plate numbers. This paper proposes a spatio-temporal visualization method to discover urban road vehicle density, city-wide regional vehicle density, and hot routes using license plate number data recorded by video surveillance cameras. To improve the accuracy of the visualization effect, during data analysis and processing, this paper utilized Internet crawler technology and adopted an outlier detection algorithm based on the Dixon detection method. In the design of the visualization map, this paper established an urban road vehicle traffic index to intuitively and quantitatively reveal the traffic operation situation of the area. To verify the feasibility of the method, an experiment in Guiyang on data from road video surveillance camera system was conducted. Multiple urban traffic spatial and temporal characters are recognized concisely and efficiently from three visualization maps. The results show the satisfactory performance of the proposed framework in terms of visual analysis, which will facilitate traffic management and operation.

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Traffic management in cities

10.12737/monography_5c934bfbb92895.69806950 ◽

2019 ◽

Cited By ~ 1

Author(s):

Елена Андреева ◽

Elena Andreeva ◽

Кристиан Бёттгер ◽

Kristian Bettger ◽

Екатерина Белкова ◽

...

Keyword(s):

Traffic Management ◽

Engineering Students ◽

Urban Traffic ◽

Urban Transport ◽

Population Increase ◽

Transport Systems ◽

Traffic Flows ◽

Organization And Management ◽

Wide Range ◽

Traffic Management System

The monograph is devoted to the consideration of issues relevant to the vast majority of cities-the organization and management of traffic flows to improve the mobility of the population, increase the speed and reduce the cost of transportation of passengers and goods, reduce the burden on the environment, etc. The book provides an overview of existing models, methods and tools for modeling and managing traffic flows in cities. The author identifies the main modern challenges to sustainable development of urban transport systems, which should be taken into account in the development of urban traffic management system. The authors substantiate the need for a systematic approach in the development of traffic management systems in cities and propose a practical tool for its implementation — an integrated digital platform for urban traffic management. Describes the experience of creation and application of an integrated automated control system of traffic management TransInfo and its improved version RITM, for the city of Moscow. In conclusion, the forecast of further development of research and development in the field of modeling and management of transport mobility is given. The book is of interest to a wide range of readers involved in the modeling and management of traffic flows, experts in the field of transport planning, scientists, engineers, economists and mathematicians, as well as graduate students and engineering students.

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Intelligent collaborative urban traffic management system based on SOA and cloud computing

The 26th Chinese Control and Decision Conference (2014 CCDC) ◽

10.1109/ccdc.2014.6852441 ◽

2014 ◽

Cited By ~ 3

Author(s):

Fuquan Sun ◽

Xi Yu ◽

Shixin Liu ◽

Fuqiang Lu

Keyword(s):

Cloud Computing ◽

Traffic Management ◽

Management System ◽

Urban Traffic ◽

Traffic Management System

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Design of River System Deadlock Avoidance Supervisor by Using Petri Net

PROMET - Traffic&Transportation ◽

10.7307/ptt.v22i3.273 ◽

1970 ◽

Vol 22 (3) ◽

pp. 175-182

Author(s):

Danko Kezić ◽

Anita Gudelj

Keyword(s):

Petri Net ◽

Traffic Management ◽

Management System ◽

Formal Method ◽

Structural Characteristics ◽

Discrete Event ◽

River System ◽

Deadlock Avoidance ◽

Deadlock Prevention ◽

Traffic Management System

Advanced function of the computer-based river traffic management system should automatically predict and prevent possible conflict and deadlock states between vessels by using adequate control policy (supervisor). This paper proposes a formal method for calculating maximally permissive deadlock prevention supervisor. To model the river system, the authors use a class of Petri net suitable for describing multiple re-entrant flowlines with disjoint sets of resources, jobs and control places, and matrix-based formal method to analyze the system. By using matrix algebra, the structural characteristics of the Petri net (circular waits, P-invariants, critical siphons and subsystem, key resource) have been analyzed and the steps for supervisor design proposed. The first and the second level deadlocks can be avoided by maintaining the number of tokens in the critical subsystems and ensuring that the key resource would not be the last available resource in the system. The derived supervisor has been verified by a computer simulation using MATLAB environment. KEYWORDS: traffic management system, deadlock avoidance, discrete event system, Petri net

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What are the challenges of pedestrian safety from the viewpoints of traffic and transport stakeholders? A qualitative Study

10.21203/rs.3.rs-41143/v1 ◽

2020 ◽

Author(s):

Morteza Haghighi ◽

Fatemeh Bakhtari Aghdam ◽

Homayoun Sadeghi-Bazargani ◽

Haidar Nadrian

Keyword(s):

Traffic Management ◽

Management System ◽

Traffic Accidents ◽

Holistic Approach ◽

Pedestrian Safety ◽

Urban Traffic ◽

Vulnerable Groups ◽

Individual Interviews ◽

Wide Range ◽

Traffic Management System

Abstract Background Pedestrians are among the most vulnerable groups in traffic accidents. Our aim in this study was to explore the challenges associated to pedestrian safety from the perspective of traffic and transport stakeholders. Methods In 2018, applying a qualitative approach, twenty-four traffic and transport stakeholders were invited to participate in semi-structured individual interviews in Tabriz, Iran. To analyze data, conventional content analysis approach was used. MAXQDA software version 11 was applied to manage data analysis process. Findings: Participants reported a wide range of challenges which were grouped into six categories: "Challenges related to pedestrians", "Challenges related to drivers", "Management system challenges", "Environmental infrastructure challenges", "Educational and media challenges", and "Challenges of legislation and enforcement". Conclusion We identified pedestrian safety as a challenging urban traffic and transport issue with specific complexities, particularly in the management system. With a holistic approach to the challenges, as discussed inside, all reported obstacles seem to be overshadowed by one core challenge, namely the lack of a traffic management system with health-oriented approach and enough authority. Using evidence while policy-making and intervention planning, as well as media support is recommended.

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