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

Traffic Management System (TMS) is a possible implementation of a Green IT application. It can have direct impact on reducing the greenhouse gases. The focus of this report is to illustrate how event driven SOA design principles can be applied in designing traffic management system. It also discusses how cloud computing concept can be used for TMS application. Traffic during peak hours is a problem in any major city where population growth far exceeds the infrastructure. Frequent stop and start of the cars on the heavy traffic roads and slow moving traffic causes greater fuel consumption, which results in greater emission of carbon gases. If efficient traffic management system can speed up the traffic average speed it will help reduce the carbon emission. As the WiMAX technology reaches maturity and achieves greater reliability and speed for wireless data transmissions new mobile applications are possible. Traffic Management System is one such example. WiMAX can facilitate communication to and from fast moving cars. WiMAX combined with GPS (Global Positioning System) technology can facilitate building an efficient traffic management system. The authors have also discussed various scenarios where Cloud computing technology can be utilised resulting in further optimisation of the computing resources and therefore reducing the carbon emission.

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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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Applying Service Oriented Architecture and Cloud Computing for a Greener Traffic Management

Handbook of Research on Green ICT ◽

10.4018/978-1-61692-834-6.ch023 ◽

2011 ◽

pp. 332-347 ◽

Cited By ~ 2

Author(s):

Ishan Bhalla ◽

Kamlesh Chaudhary

Keyword(s):

Cloud Computing ◽

Traffic Management ◽

Management System ◽

Carbon Emission ◽

Service Oriented Architecture ◽

Heavy Traffic ◽

Wireless Data ◽

Service Oriented ◽

Traffic Management System ◽

It Application

Traffic Management System (TMS) is a possible implementation of a Green IT application. It can have direct impact on reducing the greenhouse gases. The focus of this report is to illustrate how event driven SOA design principles can be applied in designing traffic management system. It also discusses how cloud computing concept can be used for TMS application. Traffic during peak hours is a problem in any major city where population growth far exceeds the infrastructure. Frequent stop and start of the cars on the heavy traffic roads and slow moving traffic causes greater fuel consumption, which results in greater emission of carbon gases. If efficient traffic management system can speed up the traffic average speed it will help reduce the carbon emission. As the WiMAX technology reaches maturity and achieves greater reliability and speed for wireless data transmissions new mobile applications are possible. Traffic Management System is one such example. WiMAX can facilitate communication to and from fast moving cars. WiMAX combined with GPS (Global Positioning System) technology can facilitate building an efficient traffic management system. The authors have also discussed various scenarios where Cloud computing technology can be utilised resulting in further optimisation of the computing resources and therefore reducing the carbon emission.

Download Full-text