Collaborative information system to find efficient routes using public transport

Author(s):  
Diego H. B. Zanchett ◽  
Jurair R. P. Junior ◽  
André F. Monteiro ◽  
Diego B. Haddad ◽  
Laura S. Assis
2016 ◽  
Vol 5 (3) ◽  
pp. 47-70 ◽  
Author(s):  
Maria Spichkova ◽  
Margaret Hamilton

This paper presents a formal model of a decision making system for public transport routes. The approach focuses on (1) environmental and societal sustainability aspects of green software engineering, (2) spatial planning and optimisation for smarter sustainable cities, and (3) user satisfaction with this information system for the various contexts of passenger, driver and overall system view.


2017 ◽  
Vol 18 (6) ◽  
pp. 16-21
Author(s):  
Ewa Brożyna

This article presents topic of Dynamic Passenger Information Systems which are more and more often used in the public transport. It focuses on analysis of utility and passengers’ satisfaction of this type of system. In the first chapter there are information about DPI system that is used by one of the larger organizer of public transport – KZK GOP (Komunikacyjny Związek Komunalny Górnośląskiego Okręgu Przemysłowego). In next part of article there is online research results made by author in March – April 2017 among the passengers of KZK GOP. Research goal was knowing the utility and passengers’ satisfaction of DPI system KZK GOP. There took part 635 people in research. Respondents judged the performance quality of DPI system KZK GOP as sufficient (average rating: 3,18 on scale from 1 to 5 where 5 was the highest rate). Analysis of this research summary will let to more detailed knowing passengers’ opinion for DPI system KZK GOP and will let to suggest the actions which goal will be improvement this system.


2017 ◽  
Vol 17 (3) ◽  
pp. 1-14 ◽  
Author(s):  
Charles Z. Liu ◽  
Manolya Kavakli

In this paper, we present an agent- aware computing based collaborative information sys- tem scheme for MR applications. The HCI issues in VR, AR, and MR, have been discussed firstly. Besides the equipment, the lack of understanding of users also ac- counts for a significant bottleneck of improving user ex- perience and immersion during the interaction. Aiming at the issues, an agent-aware computing based scheme is proposed and implemented. The corresponding sys- tematic scheme is presented in the views of functional- ity, modules and system workflow and discussed in de- sign, implementation, and system synthesis. By means of the human-aware computing, system-aware comput- ing and human-system aware computing, issues such as mixed reality fusion, QoE-QoS management, confiden- tiality, and security, are addressed by the applying agent- aware computing based scheme into an implementation of the collaborative information system for mixed real- ity. Related modules along with their function and test results are given and discussed.


Author(s):  
Marcus Foth ◽  
Ronald Schroeter ◽  
Jimmy Ti

Public transportation is an environment with great potential for applying innovative ubiquitous computing services to enhance user experiences. This paper provides the underpinning rationale for research that will be looking at how real-time passenger information system deployed by transit authorities can provide a core platform to improve commuters’ user experiences during all stages of their journey. The proposal builds on this platform to inform the design and development of innovative social media, mobile computing and geospatial information applications, with the hope to create fun and meaningful experiences for passengers during their everyday travel. Furthermore, we present the findings of our pilot study that aims to offer a better understanding of passengers’ activities and social interactions during their daily commute.


2018 ◽  
Vol 15 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Jerome N. Rachele ◽  
Vincent Learnihan ◽  
Hannah M. Badland ◽  
Suzanne Mavoa ◽  
Gavin Turrell ◽  
...  

Background: There is growing urgency for higher quality evidence to inform policy. This study developed geographic information system spatial measures based on land use and transport policies currently used in selected Australian states to assess which, if any, of these measures were associated with walking for transport. Methods: Overall, 6901 participants from 570 neighborhoods in Brisbane, Australia, were included. Participants reported their minutes of walking for transport in the previous week. After a review of state-level land use and transport policies relevant to walking for transport across Australia, 7 geographic information system measures were developed and tested based on 9 relevant policies. Data were analyzed using multilevel multinomial logistic regression. Results: Greater levels of walking for transport were associated with more highly connected street networks, the presence of public transport stops, and having at least 2 public transport services per hour. Conversely, neighborhoods with shorter cul-de-sac lengths had lower levels of walking for transport. There was no evidence of associations between walking for transport and street block lengths less than 240 m or traffic volumes. Conclusions: These findings highlight the need for urban design and transport policies developed by governments to be assessed for their impact on transport-related physical activity.


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