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All issues Volume 308 (2020) MATEC Web Conf., 308 (2020) 05005 References
Open Access
Issue
MATEC Web Conf.
Volume 308, 2020
2019 8th International Conference on Transportation and Traffic Engineering (ICTTE 2019)
Article Number 05005
Number of page(s) 7
Section Intelligent Transportation and System Design
DOI https://doi.org/10.1051/matecconf/202030805005
Published online 12 February 2020
  1. S. Hernandez, A. Monzon, R. De Ona, "Urban Transport Interchanges: A Methodology for Evaluating Perceived Quality." Transportation Research, Part A 84, pp.31-43 (2016) [CrossRef] [Google Scholar]
  2. J. Wasson, G. Boruff, A. Hainen, S. Remias, E. Hulme, G. Farnsworth and D. Bullock, “Evaluation of Spatial and Temporal Speed Limit Compliance in Highway Work Zones”. Transportation Research Record: Journal of the Transportation Research Board 2258, (2258), pp 1–15 (2011) [CrossRef] [Google Scholar]
  3. D. Bullock, M. Martchouk, F. Mannering, "Analysis of Freeway Travel Time Variability Using Bluetooth Detection”. Journal of Transportation Engineering, 137 (10), pp 697–704 (2011) [CrossRef] [Google Scholar]
  4. K. Gharehbaghi and K. Robson, 'The Exploitation of ICT in Optimization of PTS: Productivity and Performance Enhancement Methods', in Proceedings of the 11th International Conference on Computer Modeling and Simulation, Association for Computing Machinery, Melbourne, 16 - 18 January, pp. 180-183. (2019) [Google Scholar]
  5. K. Gharehbaghi, I. Clarkson, N. Hurst and F. Rahmani, "Transportation development for regional infrastructure: Implications for Australian rural areas", Transportation Research Procedia (2020) in press. [Google Scholar]
  6. R. Kummitha and N. Crutzen, "How do we understand smart cities? An evolutionary perspective", Cities, 67, pp 43-52 (2017) [CrossRef] [Google Scholar]
  7. K. Gharehbaghi, and K. McManus, "TIS condition monitoring using ANN integration: an overview", Journal of Engineering, Design and Technology, 17, (1), pp. 204-217 (2019) [CrossRef] [Google Scholar]
  8. Y. Shu and W. Yao-Jan, “Travel Mode Identification Using Bluetooth Technology”, Journal of Intelligent Transportation Systems, DOI: 10.1080/15472450.2017.1384698 (2013) [Google Scholar]
  9. A. Bhaskar and E. Chung, “Fundamental understanding on the use of Bluetooth scanner as a complementary transport data”, Transportation Research Part C: Emerging Technologies, 37, pp.42-72 (2013) [CrossRef] [Google Scholar]
  10. T. Krasemann, "Computational decision-support for railway traffic management and associated configuration challenges: An experimental study", Journal of Rail Transport Planning and Management, 5, (3) pp 95-109 (2015) [CrossRef] [Google Scholar]
  11. J. Mathey, S. Rößler, J. Banse and I. Lehmann, , "Brownfields As an Element of Green Infrastructure for Implementing Ecosystem Services into Urban Areas", Journal of urban planning and development, 141, (3) (2015) [CrossRef] [Google Scholar]
  12. Giacomo Cao and Roberto Orrù, "Current Environmental Issues and Challenges", Springer, pp 39-46 (2014) [Google Scholar]
  13. J. Black, A. Paez and P. Suthanaya, "Sustainable Urban Transportation: Performance Indicators and Some Analytical Approaches", Journal of urban planning and development, 128, (4) (2002) [Google Scholar]
  14. T. Kim, "Integrated Urban Systems Modeling: Theory and Applications", Springer, pp 191-199. (2012), [Google Scholar]
  15. Gharehbaghi, K., McManus K., and Robson, K., (2019), "Minimizing the environmental impacts of mega infrastructure projects: Australian public transport perspective", Journal of Engineering, Design and Technology, in press. [Google Scholar]
  16. E. Boschmann and M. Kwan, "Toward Socially Sustainable Urban Transportation: Progress and Potentials", international journal of sustainable transportation, 2, (3) pp 138-157 (2008) [CrossRef] [Google Scholar]
  17. K. Gharehbaghi and M. Georgy, “Utilization of Infrastructure Gateway System (IGS) as a Transportation Infrastructure Optimization Tool”, International Journal of Traffic and Transportation Engineering, 4 (1), pp. 8-15 (2015) [Google Scholar]
  18. K. Gharehbaghi and M. Myers, "Intelligent System Intricacies: Safety, Security and Risk Management Apprehensions of ITS", Proceedings of the 8th International Conference on Industrial Technology and Management, IEEE, Cambridge, United Kingdom, United Kingdom, pp 37-40. (2019) [Google Scholar]
  19. K. Gharehbaghi and F. Rahmani "Deterioration of Transportation Infrastructures: Corrosion of Reinforcements in Concrete Structures", Materials and Technologies in Engineering, 940, pp 160-166 (2018) [Google Scholar]
  20. K. Gharehbaghi and Farnes "Buried Transportation Structures: Fuzzy-Markov Computation Case Study", Proceedings of the 10th International Structural Engineering and Construction Conference: Interdependence between Structural Engineering & Construction Management, Chicago, Illinois, United States, pp 1-6 (2019) [Google Scholar]
  21. S. Ghosh and T. Lee "Intelligent Transportation systems: smart and green infrastructure design", 2nd edition, Boca Raton, FL : CRC Press (2012) [Google Scholar]
  22. K. Gharehbaghi, K. Robson and Rahmani "Mega Transportation Infrastructure: a sustainable foresight", Transportation Research Procedia (2020) in press [Google Scholar]
  23. H. Gudmundsson, R. Hall, G. Marsden and J. Zietsman “Sustainable transportation : indicators, frameworks, and performance management”, Springer (2016) [Google Scholar]
  24. P. Hardisty, "Environmental and economic sustainability", CRC Press/Taylor and Francis (2010) [Google Scholar]
  25. S. Thekdi and J. Lambert, "Decision analysis and risk models for land development affecting Infrastructure systems", Journal of Risk Analysis, July, 32 (7), pp 1253-1269 (2012) [CrossRef] [Google Scholar]
  26. A. Sladkowski and W. Pamula “Intelligent Transportation Systems - Problems and Perspectives”, Springer (2015) [Google Scholar]
  27. C. Kahraman and S. Cevik Onar, "Intelligent techniques in engineering management theory and application", Springer (2015) [Google Scholar]
  28. K. Gharehbaghi and K. Farnes "Process automation in Intelligent Transportation System (ITS)", International Journal of Machine Learning and Computing, International Association of Computer Science and Information Technology, 8 (3), pp. 294-297 (2018) [Google Scholar]
  29. K. Gharehbaghi, "Artificial Neural Network for Transportation Infrastructure Systems", MATEC web of conferences, pp. 1-5 (2016) [Google Scholar]
  30. L. Mattsson and E. Jenelius, "Vulnerability and resilience of transport systems - A discussion of recent research", Transportation Research Part A: Policy and Practice, 81, pp 16-34 (2015) [CrossRef] [Google Scholar]
  31. P. Centobelli, R. Cerchione and E. Esposito, "Environmental sustainability in the service industry of transportation and logistics service providers: Systematic literature review and research direction", Transportation Research Part D: Transport and Environment, 53, pp 454-470 (2017) [CrossRef] [Google Scholar]
  32. A. May, "Urban Transport and Sustainability: The Key Challenges", International Journal of Sustainable Transportation, 7, (3), pp 170-185 (2012) [Google Scholar]
  33. F. Corman, A. D'Ariano, A. Marra, D. Pacciarelli and M. Sama, "Integrating train scheduling and delay management in real-time railway traffic control", Transportation Research Part E: Logistics and Transportation Review, 105, pp 213-239 (2017) [CrossRef] [Google Scholar]
  34. Ministry of LITT, Japan Ministry of Land, Infrastructure, Transport and Tourism, White Paper on Land, Infrastructure, Transport and Tourism in Japan, http://www.mlit.go.jp/en/statistics/white-paper-mlit-index.html [viewed on 17/10/2017] (2017) [Google Scholar]
  35. Citylab, https://www.citylab.com/transportation/2012/05/secret-tokyos-rail-success/2044/ [viewed on 15/09/2017] [Google Scholar]

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