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Number of results
2015 | 128 | 2B | B-122-B-124

Article title

Mobile Environmental Sensing and Sustainable Public Transportation Using ICT Tools

Content

Title variants

Languages of publication

EN

Abstracts

EN
Intelligent transportations system is a complex information and communication technologies platform aimed for a better and cost effectiveness public transport organization. Our intent is to extend the basic of intelligent transportations system for the improvement of local transportation in marginal areas for suitable links with the existing network system. These tools are characterized by low cost if compared with the potential impact in improving direct and indirect transportation efficiency. The information and communication technologies mobile platform will have a double nature: on the one hand, it will be capable of gathering environmental data in real-time and at regular intervals serving as moving environmental city sensors. Information such as temperature, noise, humidity, gas levels, road conditions, and dust particle concentration can all be reported and analyzed. On the other hand, the platform will provide services to passengers such as internet/intranet access, through these connection resources, exploiting wisely a multi standard (3G cellular networks, WiFi networks) gateway. In exploring solutions to those challenges a balanced dual 3G mobile providers connectivity combined with a private WiFi network will be used for balanced data traffic and uninterruptable internet service for passengers. The same information and communication technologies platform is the aim of a basic intelligent transportations system platform and telematics fleet management.

Keywords

EN

Year

Volume

128

Issue

2B

Pages

B-122-B-124

Physical description

Dates

published
2015-8

Contributors

author
  • Polytechnic University of Tirana, Faculty of Mechanical Engineering, Tirana, Albania
author
  • Polytechnic University of Tirana, Faculty of Mechanical Engineering, Tirana, Albania
author
  • Polytechnic University of Tirana, Faculty of Information Technology, Tirana, Albania

References

  • [1] L.C. Cham, Understanding Bus Service Reliability: A Practical Framework Using AVL/APC Data, Massachusetts Institute of Technology, Cambridge, Mass 2006. http://hdl.handle.net/1721.1/34381
  • [2] P.G. Furth, B.J. Hemily, H.J. Muller, J.G. Strathman, Transportation Research Board, Washington, DC 2003. http://trb.org/Publications/Blurbs/152922.aspx
  • [3] A. Shalaby, A. Farhan, J. Public Transport. 7, 41 (2004), doi: 10.5038/2375-0901.7.1.3
  • [4] Y. Hadas, A. Ceder, Transport. Res. C 18, 879 (2010), doi: 10.1016/j.trc.2010.04.002
  • [5] H. Chen, L. Xiao, H. Jin, Z. Wen, in: 4th Int. Congress on Image and Signal Processing (CISP), Eds.: Peihua Qiu, Yong Xiang, Yongsheng Ding, Demin Li, Lipo Wang, IEEE, Shanghai 2011, Vol. 1, p. 269, doi: 10.1109/CISP.2011.6099919
  • [6] N. Mijatovic, I. Kostanic, S. Dickey, in: 5th IEEE Consumer Communications and Networking Conf. CCNC 2008, Eds.: D. Marples, S. Moyer, IEEE, Las Vegas 2008, p. 738, doi: 10.1109/ccnc08.2007.170
  • [7] R. Lloyd-Evans, QoS in Integrated 3G Networks, Mobile Communications Series, Artech House, London 2002

Document Type

Publication order reference

YADDA identifier

bwmeta1.element.bwnjournal-article-appv128n2b033kz
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