AUTHORS: Cristina Correa De Oliveira, Ari Aharari, Jair Minoro Abe, Kazumi Nakamatsu

Download as PDF

ABSTRACT: Intelligent Transportation Systems make use of communication and information technology with the objective of improving the performance of public transport, reducing time and thus saving resources. Sensors enabled the development of new computational solutions, as well as different algorithms have been studied and applied in this area. A literature review process has also proven to be an appropriate tool to manage and organize the growing number of article and periodical databases, allowing the identification of relevant contributions. A total of 170 articles were selected and categorized in the study of the algorithms applied in the Public Transport System with the Internet of Things. It is presented the Para-Analyzer algorithm, based on the Paraconsistent Logic, which provides the analysis of an uncertain and contradictory environment facilitating decision making. Finally, it is proposed an application of the Para-Analyzer algorithm in public transport using sensors to detect obstacles.

KEYWORDS: Paraconsistent Logic, Public Transportation Systems, Intelligent Transportation Systems, IoT, Sensing Systems

REFERENCES:

[1] M. T. Borzacchiello, V. Torrieri and P. Nijkamp, 'An operational information systems architecture for assessing sustainable transportation planning: principles and design,' Evaluation and Program Planning, vol. 32, pp. 381-389, 2009.

[2] H. Makino, Ed., Intelligent Transportation System - Introduction Guide, Asian Civil Engineering Coordinating Council, 2016.

[3] K. Kepaptsoglou and M. Karlaftis, 'Transit Route Network Design Problem: Review,' Journal of Transportation Engineering, vol. 135, pp. 491-505, 2009.

[4] A. Thomas and J. Trost, 'A Study on Implementing Autonomous Intra City Public Transport System in Developing Countries - India,' Procedia Computer Science, vol. 115, pp. 375-382, 2017.

[5] G. Jennings, 'Finding our balance: Considering the opportunities for public bicycle systems in Cape Town, South Africa,' Research in Transportation Business ¥& Management, vol. 15, pp. 6-14, 2015.

[6] 'INRIX Global Traffic Scorecard,' 2018 May 2018.

[Online]. Available: http://inrix.com.

[Accessed 2018].

[7] S. Kawasaki, 'The challenges of transportation/traffic statistics in Japan and directions for the future,' IATSS Research, vol. 39, pp. 1-8, 2015. Certainty Degree Uncertanty Degree

[8] K. Koide, T. Oishi and K. Ikeuchi, 'Historical Analysis of the ITS Progress of Japan,' International Journal of Intelligent Transportation Systems Research, vol. 15, pp. 29-38, 8 2017.

[9] R. Kamaruddin, I. Osman and C. A. C. Pei, 'Public Transport Services in Klang Valley: Customer Expectations and Its Relationship Using SEM,' Procedia - Social and Behavioral Sciences, vol. 36, pp. 431-438, 2012.

[10] T. M. Bojan, U. R. Kumar and V. M. Bojan, 'An internet of things based intelligent transportation system,' in 2014 IEEE International Conference on Vehicular Electronics and Safety, 2014.

[11] H. Abou-Senna, E. Radwan, A. Navarro and H. Abdelwahab, 'Integrating transportation systems management and operations into the project life cycle from planning to construction: A synthesis of best practices,' Journal of Traffic and Transportation Engineering (English Edition), vol. 5, pp. 44- 55, 2 2018.

[12] D. J. Symes, 'Multiuser area-coverage automatic vehicle monitoring program,' IEEE Transactions on Vehicular Technology, vol. 26, pp. 187-191, 5 1977.

[13] J. Tsai, 'Highway environment information system interests and features survey,' in Proc. Vehicle Navigation and Information Systems Conf, 1991.

[14] A. Celesti, A. Galletta, L. Carnevale, M. Fazio, A. Lay-Ekuakille and M. Villari, 'An IoT Cloud System for Traffic Monitoring and Vehicular Accidents Prevention Based on Mobile Sensor Data Processing,' IEEE Sensors Journal, vol. PP, pp. 1-1, 2017.

[15] J. M. Abe, S. Akama and K. Nakamatsu, Paraconsistent Intelligent-Based Systems - New Trends in the Applications of Paraconsistency, 1 ed., vol. 1, J. M. Abe, Ed., Switzerland, : Springer International Publishing, 2015.

[16] J. M. Abe, S. Akama and K. Nakamatsu, Introduction to Annotated Logics - Foundations for Paracomplete and Paraconsistent Reasoning, 1 ed., vol. 88, Switzerland, : Springer International Publishing, 2015.

[17] M. Ito, T. Sasama, T. Kawamura and K. Sugahara, 'An Effective Tracking Technique of Public Transportation Toward Passenger Generated Vehicle Location System,' in Proceedings of the 13th International Conference on Ubiquitous Computing, New York, NY, USA, 2011.

[18] O. J. Ibarra-Rojas, F. Delgado, R. Giesen and J. C. Muñoz, 'Planning, operation, and control of bus transport systems: A literature review,' Transportation Research Part B: Methodological, vol. 77, pp. 38-75, 2015.

[19] IATSS, Ed., Traffic and Safety Sciences: Interdisciplinary Wisdom of IATSS, 1 ed., IATSS, 2015.

[20] Á. Costa and R. Fernandes, 'Urban public transport in Europe: Technology diffusion and market organisation,' Transportation Research Part A: Policy and Practice, vol. 46, no. 2, pp. 269-284, 2012.

[21] A. Ahrary, F. Papalardo, J. M. Abe, 'Internet of Things (IoT) Based Public Transportation Monitoring System,' IEEE International Symposium on Artificial Intelligence for ASEAN Development, 2018.