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

Sun, Fuchun; Yu, Xi; Liu, Shixin; Lu, Fuqiang

doi:10.1109/ccdc.2014.6852441

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…However, more efforts must be pursued in order to produce scalable analytical systems that can deal with the heterogeneity issues and variety and volume complexities of processing crowd-sourced streams [18] [23] [24] [25]. Cloud-based solutions for providing scalable traffic management systems have been discussed and proposed in [26] and [27] respectively, but these are insufficient for completing the analytical demands cycle aforementioned. Therefore, further research efforts are still needed to address the complexities and challenges aforementioned for bringing fully big-data operational support to traffic management systems.…”

Section: Introductionmentioning

confidence: 99%

A Big-Data based and process-oriented decision support system for traffic management

Vera-Baquero¹,

Colomo‐Palacios²

2018

ICST Transactions on Scalable Information Systems

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Data analysis and monitoring of road networks in terms of reliability and performance are valuable but hard to achieve, especially when the analytical information has to be available to decision makers on time. The gathering and analysis of the observable facts can be used to infer knowledge about traffic congestion over time and gain insights into the roads safety. However, the continuous monitoring of live traffic information produces a vast amount of data that makes it difficult for business intelligence (BI) tools to generate metrics and key performance indicators (KPI) in nearly real-time. In order to overcome these limitations, we propose the application of a big-data based and process-centric approach that integrates with operational traffic information systems to give insights into the road network's efficiency. This paper demonstrates how the adoption of an existent process-oriented DSS solution with big-data support can be leveraged to monitor and analyse live traffic data on an acceptable response time basis.

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Section: Introductionmentioning

confidence: 99%

A Big-Data based and process-oriented decision support system for traffic management

Vera-Baquero¹,

Colomo‐Palacios²

2018

ICST Transactions on Scalable Information Systems

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“…In the paper by Sun et al [12], the architecture of the intelligent collaborative urban traffic management system based on Service Oriented Architecture (SOA) and cloud computing is proposed. A collaborative service model based on SOA is given to realize intelligent collaborative management of urban traffic.…”

Section: Introductionmentioning

confidence: 99%

Information Support of Decision Making in Urban Passenger Transport Management

et al. 2018

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In this paper, we examine the problems of simulating modeling of urban transport route network operation and development of an information system for automating the process of modeling and processing of simulation results with SIMUL8 software. In order to solve this problem, it is required to solve the following set of related tasks: formal description of the urban transport systems structure and parameters of its functioning, development of mathematical models of urban transport network performance, database structure and an algorithm for simulation model creation.

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