A Comprehensive Study on Intelligent Transportation Systems
DOI:
https://doi.org/10.24113/ijoscience.v4i10.167Keywords:
Intelligent transportation system, Transportation Technologies, Applications, StrategiesAbstract
Transportation or transport sector is a legal source to take or carry things from one place to another. With the passage of time, transportation faces many issues like high accidents rate, traffic congestion, traffic & carbon emissions air pollution, etc. In some cases, transportation sector faced alleviating the brutality of crash related injuries in accident. Due to such complexity, researchers integrate virtual technologies with transportation which known as Intelligent Transport System. Intelligent Transport Systems (ITS) provide transport solutions by utilizing state-of-the-art information and telecommunications technologies. It is an integrated system of people, roads and vehicles, designed to significantly contribute to improve road safety, efficiency and comfort, as well as environmental conservation through realization of smoother traffic by relieving traffic congestion. This paper aims to elucidate various aspects of ITS - it's need, the various user applications, technologies utilized and concludes by emphasizing the case study of IBM ITS.
Downloads
References
J.-P. Rodrigue, C. Comtois, and B. Slack, The Geography of Transport Systems. Routledge, 2013.
J. Sussman, Perspectives on intelligent transportation systems (ITS). Springer Science + Business Media, 2005.
X. Yan, H. Zhang, and C. Wu, “Research and Development of Intelli- gent Transportation Systems,” in 20l2 llth International Symposium on Distributed Computing and Applications to Business, Engineering Science, 2012, pp. 321–327.
J. A. Moral-Muñoz, M. J. Cobo, F. Chiclana, A. Collop, and E. Her- rera - Viedma, “Analyzing Highly Cited Papers in Intelligent Transportation Systems,” IEEE Trans. Intell. Transp. Syst., vol. 17, no. 4, pp. 993–1001, Apr. 2016.
D. A. Rosen, F. J. Mammano, and R. Favout, “An electronic route- guidance system for highway vehicles,” IEEE Trans. Veh. Technol., vol. 19, no. 1, pp. 143–152, Feb. 1970.
Z. Xiong, H. Sheng, W. Rong, and D. E. Cooper, “Intelligent transportation systems for smart cities: a progress review,” Sci. China Inf. Sci., vol. 55, no. 12, pp. 2908–2914, Dec. 2012.
C Sorensen, J., “Review of Existing Literature and Deployment Tracking Surveys Decision Factors Influencing ITS Adoption”, 2012.
R. Kandarpa et al., “Final Report: Vehicle Infrastructure Integration Proof-of-Concept Results and Findings–Infrastructure,” US Dep. Transp. Wash. DC USA, 2009.
Y. Yin, M. A. Miller, and S. E. Shladover, “Assessment of the applicability of cooperative vehicle-highway automation systems to freight movement in Chicago,” in Transportation Research Board 2004 Annual Meeting. (http://database. path. berkeley. edu/reports/index. cgi, 2004.
I. Catling and B. McQueen, “Road transport informatics in Europe- major programs and demonstrations,” IEEE Trans. Veh. Technol., vol. 40, no. 1, pp. 132–140, 1991.
Mohan, Prashanth, Venkata N. Padmanabhan, and Ramachandran Ramjee. Nericell: rich monitoring of road and traffic conditions using mobile smartphones. Proceedings of the 6th ACM conference on Embedded network sensor systems. ACM, 2008.
K. Li, X. Wang, Y. Xu, and J. Wang, “Density Enhancement-Based Long-Range Pedestrian Detection Using 3-D Range Data,” IEEE Trans. Intell. Transp. Syst., vol. 17, no. 5, pp. 1368–1380, 2016.
D. Cui, J. Xue, and N. Zheng, “Real-Time Global Localization of Robotic Cars in Lane Level via Lane Marking Detection and Shape Registration,” IEEE Trans. Intell. Transp. Syst., vol. 17, no. 4, pp. 1039– 1050, 2016.
K. Ali, D. Al-Yaseen, A. Ejaz, T. Javed, and H. S. Hassanein, “CrowdITS: Crowdsourcing in intelligent transportation systems,” in 20l2 IEEE Wireless Communications and Networking Conference (WCNC), 2012, pp. 3307–3311.
A. Asadi, Q. Wang, and V. Mancuso, “A survey on device-to-device communication in cellular networks,” IEEE Commun. Surv. Tutor., vol. 16, no. 4, pp. 1801–1819, 2014.
Y. Liu, F. Dion, and S. Biswas, “Dedicated Short-Range Wireless Communications for Intelligent Transportation System Applications: State of the Art,” Transp. Res. Rec. J. Transp. Res. Board, vol. 1910, pp. 29–37, Jan. 2005.
M. Gerla, E. K. Lee, G. Pau, and U. Lee, “Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds,” in 20l4 IEEE World Forum on Internet of Things (WF-IoT), 2014, pp. 241– 246.
P. Kolios, K. Papadaki, and V. Friderikos, “Efficient Cellular Load Balancing Through Mobility-Enriched Vehicular Communications,” IEEE Trans. Intell. Transp. Syst., vol. 17, no. 10, pp. 2971–2983, Oct. 2016.
Joshi, V., Rajamani, N., Takayuki, K., Prathapaneni, N., Subramaniam, L. V., “Information Fusion Based Learning for Frugal Traffic State Sensing”, Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, 2013.
Anand Paul, Naveen Chilamkurti, Alfred Daniel, Seungmin Rho, “Intelligent transportation systems”, Intelligent Vehicular Networks and Communications Fundamentals, Architectures and Solutions, 2017, Pages 21-41.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2018 Ankur Mishra, Aayushi Priya

This work is licensed under a Creative Commons Attribution 4.0 International License.
IJOSCIENCE follows an Open Journal Access policy. Authors retain the copyright of the original work and grant the rights of publication to the publisher with the work simultaneously licensed under a Creative Commons CC BY License that allows others to distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation. Authors are permitted to post their work in institutional repositories, social media or other platforms.
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.