Transport Oriented Framework for Context-Aware Services Management

2021 ◽  
Vol 110 ◽  
pp. 63-69
Author(s):  
Celestin Drăgănescu
Keyword(s):  
Software Architecture ◽  
Contextual Information ◽  
Transport Systems ◽  
Context Aware ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Architecture Model ◽  
Vehicle Communication ◽  
Adaptive Framework

The paper proposes a dynamic adaptive framework that responds to the needs of context-aware services provided by the intelligent transport systems. The executive core of this framework is a software architecture model that ensures the running of an application which is adaptable to context changes. The solution was tested on a case study that highlights provided contextual information through an inter-vehicle communication system.

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.

scholarly journals Management of Delay Optimization at Intersections

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3087 ◽  
Author(s):  
Łukasz Kuźmiński ◽  
Piotr Maśloch ◽  
Marek Bazan ◽  
Tomasz Janiczek ◽  
Krzysztof Halawa ◽  
...  
Keyword(s):  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Traffic Lights ◽  
Intelligent Transport ◽  
The Road ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Road Intersections ◽  
Novel Method ◽  
Vehicle To Infrastructure

Congestion extends the time of the journey for both people and goods. Therefore, transport solutions should be optimized. Management scientists and technical scientists worked together in order to develop a proprietary solution to increase efficiency in terms of productivity improvements for intelligent transport systems. The most fundamental functions of management have been paired with a detailed analysis of city traffic. The authors developed a method for determining the order of vehicles at traffic lights and connected it with vehicle-to-vehicle communication and GPS signals. As a result, a novel method to increase the throughput of intersections is presented. This solution generates a sound signal in order to inform the driver that the preceding car has started moving forward. The proposed solution leads to the shortening of the reaction time of the drivers waiting in a queue. This situation is most common at red lights. Consequently, the traffic simulation shows that the discharge of queues at traffic lights may be quicker by up to 13.5%. Notably, that proposed solution does not require any modification of the infrastructure as well as any additional devices for vehicle-to-infrastructure communication at the road intersections. To conclude, proper implementation of the proposed solution will certainly contribute to efficiency improvements within intelligent transport systems, with the potential to reduce traffic jams.

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