STIS: Smart Travel Planning Across Multiple Modes of Transportation

Brennan, Shane; Meier, René

doi:10.1109/itsc.2007.4357655

Cited by 11 publications

(4 citation statements)

References 5 publications

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“…Systems and studies in the field of infomobility can be divided into three main categories: (i) personal navigation systems: services for navigating the pedestrians, vehicle drivers and public transport passengers (Personal Travel Companion [5], Smart Travel Information Service (STIS) [6], Navitime [7]); (ii) environments for integration of infomobility resources (iTransit [6], Highway Traveler Information System in the Jiangsu Province of China [8], Arktrans [9]); (iii) context and location-based platforms using communications over next-generation networks (LoL@ [10], MapWeb [11], OnRoute [12], Im@gine IT [13]). The most interesting systems are described below.…”

Section: Related Workmentioning

confidence: 99%

Context-Based Trip Planning in Infomobility System for Public Transport

Smirnov

Teslya

Shilov

et al. 2016

Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16)

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During the urbanization process, many cities face the problem of comfortable and safe transportation for their inhabitants. One of solutions of this problem is an intelligent transportation systems (ITS) development: from simple personal navigation services to automated traffic management systems. A further development of ITS in connection with context management leads to the appearance of infomobility systems that provide access to personalized information, routes, and services based on the user's geographic location. The paper describes an approach to trip planning using public transport network. The approach applies a multigraph with dynamic edges' weighting based on the information about routes and context that describes current situation in the network. Context management and dynamic edges' weighting allows to find a route that satisfies user's preferences and to adjust the route in real time in case of current situation changes.

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Section: Related Workmentioning

confidence: 99%

Context-Based Trip Planning in Infomobility System for Public Transport

Smirnov

Teslya

Shilov

et al. 2016

Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16)

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“…STIS is a system that offers travelers a multimodal journey planning service aimed at bridging the coordination gap between the available transport systems (Brennan & Meier, 2007). Journey plans are created based on the preferences expressed by end-users and integrate static and dynamic information about traffic and public transport.…”

Section: Smart Travel Information Service (Stis)mentioning

confidence: 99%

An Evaluation of Context-Aware Infomobility Systems

Paganelli

Giuli

2009

Context-Aware Mobile and Ubiquitous Computing for Enhanced Usability

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The delivery of real-time, context-aware, and personalized information to end-users for mobility support is a high-priority objective in improving mobility services efficiency and effectiveness. This chapter aims at providing an analysis of existing studies in the field of context awareness research targeted to the infomobility application domain. The authors propose an evaluation framework for infomobility services based on the elicitation of context information items and high-level requirements. The framework is applied to some relevant state-of-the art research works among personal navigation systems, infomobility service integration frameworks and context-aware location-based communication platforms. Evaluation results are discussed in order to highlight open research challenges in the infomobility application domain.

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“…The prototype includes two context-aware ambient services for providing information to users through mobile devices, a service for multi-modal urban journey planning (Brennan & Meier, 2007) and a service for visualising traffic congestion in the road network. Both services use the Spatial API to access the data model and ultimately, to transparently correlate and use the information provided by the underlying independent legacy systems.…”

Section: Realising Context-aware Ambient Servicesmentioning

confidence: 99%

Context-Aware Services for Ambient Environments

Meier

Lee

2009

International Journal of Ambient Computing and Intelligence

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This article presents the iTransIT framework for building context-aware pervasive services in large-scale ambient environments. The iTransIT framework provides an architecture for conceptually integrating the independent systems underlying an ambient environment and a data model for capturing the contextual information generated by these systems. The data model is based on a hybrid approach to context-modelling that incorporates the management and communication benefits of traditional object-based context modelling with the semantic and inference advantages of ontology-based context modelling. The iTransIT framework furthermore supports a programming model designed to provide a standardised way to access and correlate information from systems and their devices based on context and ultimately, to build context-aware ambient services. The framework has been assessed based on a prototypical realisation of an architecture for integrating diverse intelligent transportation systems in Dublin and by building context-aware ambient transportation services for urban journey planning and for visualising traffic congestion.

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STIS: Smart Travel Planning Across Multiple Modes of Transportation

Cited by 11 publications

References 5 publications

Context-Based Trip Planning in Infomobility System for Public Transport

Context-Based Trip Planning in Infomobility System for Public Transport

An Evaluation of Context-Aware Infomobility Systems

Context-Aware Services for Ambient Environments

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