PLASTIC: Providing lightweight & adaptable service technology for pervasive information & communication

International audienceThe PLASTIC project adopts and revisits serviceoriented computing for Beyond 3rd Generation (B3G) networks, in particular aiming at assisting the development of services targeted at mobile devices. Specifically, PLASTIC introduces the PLASTIC platform to enable robust distributed lightweight services in B3G networking environments through: • A development environment for the thorough development of SLA- and resource-aware services, which may be deployed on the various networked nodes, including handheld devices; • A service-oriented middleware leveraging multiradio devices and multi-network environments for applications and services deployed on mobile devices, further enabling context-aware and secure discovery and access to such services; • A validation framework enabling off-line and online validation of networked services regarding functional and non-functional properties

The TInnGO Observatory and the DIAMOND toolbox:self-assessment for service operators on fairness and inclusivity.

This paper summarises the contributions of both projects towards bring the community together, as presented in Session IX of the final conference/TDM Symposium 2021. This session featured a series of presentations from both projects on the steps and outputs that together contribute to the legacy ofSession X: Bringing the community together our projects. Both projects addressed the challenge outlined in the call MG-4-3-2018: Demographic change and participation of women in transport. Through our work we have understood the challenges and barriers to creating a fairer transport system. Here we present practical contributions, tools and strategies which can be built on by other researcher

Findings from measuring door-to-door travellers’ travel satisfaction with traditional and smartphone app survey methods in eight European cities

This study investigates how different travel satisfaction survey methods influence the reported level of door-to-door travel satisfaction among travellers. The travel satisfaction measurement survey tools tested consisted of two types of smartphone applications (a satellite navigation app and a game app), an on-line survey, a paper-based semi-structured questionnaire and a focus group. Each of the measurement tools comprised of a similar set of questions, but in different formats, aimed at exploring the pros and cons of each tool among different group of travellers. In total, 5,275 valid responses were collected during the survey period from eight European cities and five FIA (Federation Internationale de I'Automobile) national motorist networks. The analysis results, with ordered logit model of travellers' reported overall satisfaction, showed that the travel satisfaction reported by different survey methods and different travel modes and user groups, correlated with distinct groups of key determinants. The relationship between and within these key determinants, however, was far from straight forward. Some were more complex than others. Some issues, such as parking availability and security, that are mostly discussed by policy makers and users may not be the ones that directly correlate with the users' overall travel satisfactions. Consistent with previous studies, the travellers' mood and previous experience influenced the reported overall journey satisfaction

Data collection and analysis tools for integrated measures

Currently, several data collection tools exist to measure and monitor the daily traffic in urban areas. Such tools should also be used to provide data on passenger and freight movements to inform short-, medium- and long-term mobility plans. One of the objectives of this chapter is to provide an introduction to the current strategies available and used by medium-sized European cities for data collection, including traditional and more technological automated methods. It will provide information on where there are gaps and difficulties in data collection processes, analyse information relating to urban mobility data, draw conclusions and identify possible generic problems of cities by presenting current methods and solutions that have been developed in Europe for data collection. In addition, the results of two actions implemented in the cities of Turin and Kalamaria for the collection of data in a dynamic and innovative way will be shown, along with a tool developed to manage big data applications in the transport sector. As a conclusion, the main benefits of these tools and the traffic data gathering are highlighted