A Review on Mobile and Sensor Networks Innovations in Intelligent Transportation Systems

Abstract

Rapid developments of mobile technologies, data acquisition and big data analytics, and their integration with critical application domains such as transportation systems have the potential to produce more efficient, real-time, intelligent and safe transportation infrastructure. To increase the quality of transportation services, wireless sensor networks, mobile phones, crowd sourcing, RFID and Bluetooth technologies are being used. We surveyed innovations that were transformed from ideas in research labs into commercial systems in practical use. In this paper, we present some innovative mobile technologies, services and platforms that are being used in modern transportation applications including traffic data acquisition, traffic management and control, route optimizations, infrastructure redesign, road safety and enhancing user experience.

Share and Cite:

Felemban, E. and Sheikh, A. (2014) A Review on Mobile and Sensor Networks Innovations in Intelligent Transportation Systems. Journal of Transportation Technologies, 4, 196-204. doi: 10.4236/jtts.2014.43020.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Caragliu, A., Del Bo, C. and Nijkamp, P. (2009) Smart Cities in Europe. Proceedings of the 3rd Central European Conference in Regional Science—CERS 2009, Kosice, 7-9 October 2009, 49-59.
[2] United States Department of Transportation (2005) Traffic Congestion and Reliability: Trends and Advanced Strategies for Congestion Mitigation. Cambridge Systematics, Inc. and Texas Transportation Institute.
http://www.ops.fhwa.dot.gov/congestion_report/
[3] Ezell, S. (2010) Intelligent Transportation Systems. Information Technology and Innovation Foundation.
www.itif.org/files/2010-1-27-ITS_Leadership.pdf
[4] Al-Sultan, S., Al-Bayatti, A.H. and Zedan, H. (2013) Context-Aware Driver Behavior Detection System in Intelligent Transportation Systems. IEEE Transactions on Vehicular Technology, 62, 4264-4275.
http://dx.doi.org/10.1109/TVT.2013.2263400
[5] Wang, H.W. and He, W.B. (2011) A Reservation-based Smart Parking System. Proceedings of the IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS 2011), Shanghai, 10-15 April 2011, 690-695.
[6] Sakai, A., Mizuno, K., Sugimoto, T. and Okuda, T. (1995) Parking Guidance and Information Systems. Proceedings of 6th International Vehicle Navigation and Information Systems Conference, Seattle, 30 July-2 August 1995, 478-485.
[7] SFPark Project (2014) San Francisco Municipal Transportation Agency.
http://sfpark.org
[8] Park4U (2014) Parking Assistant by Valeo.
http://www.valeo.com/en/
[9] BMW Connected Drive (2014)
http://www.bmw.com/com/en/insights/technology/connecteddrive/2013/index.html
[10] Lee, S.-H. and Cho, D.-H. (2000) A New Adaptive Routing Scheme Based on the Traffic Characteristics in Mobile Ad Hoc Networks. Proceedings of 52nd Vehicular Technology Conference, 6, 2911-2915.
http://dx.doi.org/10.1109/VETECF.2000.886849
[11] Ambrose, J.K., Bukovsky, D.J., Sedlak, T.J. and Goeden, S.J. (2009) Developing a Travel Route Planner Accounting for Traffic Variability. Proceedings of Systems and Information Engineering Design Symposium SIEDS’09, Charlottesville, 24-24 April 2009, 264-268.
[12] Knaian, A.N. (2000) A Wireless Sensor Network for Smart Roadbeds and Intelligent Transportation Systems. Ph.D. Thesis, Department of Electrical Engineering and Computer Science, MIT.
[13] Chen, W.J., Chen, L.F., Chen, Z.L. and Tu, S.L. (2006) WITS: A Wireless Sensor Network for Intelligent Transportation System. Proceedings of 1st International Multi-Symposiums on Computer and Computational Sciences, 2, 635-641.
[14] Sawant, H., Tan, J.D. and Yang, Q.Y. (2004) A Sensor Networked Approach for Intelligent Transportation Systems. Proceedings of IEEE International Conference on Intelligent Robots and Systems, 2, 1796-1801.
[15] Franceschinis, M., Gioanola, L., Messere, M., Tomasi, R., Spirito, M.A. and Civera, P. (2009) Wireless Sensor Networks for Intelligent Transportation Systems. Proceedings of IEEE 69th Vehicular Technology Conference, Barcelona, 26-29 April 2009, 1-5.
[16] Polastre, J., Szewczyk, R. and Culler, D. (2005) TELOS: Enabling Ultra-Low Power Wireless Research. Proceedings of the 4th IEEE International Symposium on Information Processing in Sensor Networks, (IPSN’05), 15 April 2005, 364-369.
http://dx.doi.org/10.1109/IPSN.2005.1440950
[17] Khanafer, M., Guennoun, M. and Mouftah, H.T. (2009) WSN Architectures for Intelligent Transportation Systems. Proceedings of 3rd International Conference on New Technologies, Mobility and Security (NTMS2009), 20-23 December 2009, 1-8.
[18] Tao, H.Q., Liu, W.C. and Ma, S.B. (2010) Intelligent Transportation Systems for Wireless Sensor Networks Based on ZigBee. Proceedings of International Conference on Computer and Communication Technologies in Agriculture Engineering (CCTAE2010), 2, 396-399.
[19] Katiyar, V., Kumar, P. and Chand, N. (2011) An Intelligent Transportation Systems Architecture Using Wireless Sensor Networks. International Journal of Computer Applications, 14, 22-26.
http://dx.doi.org/10.5120/1816-2369
[20] Selvarajah, K., Shooter, C., Liotti, L. and Tully, A. (2011) Heterogeneous Wireless Sensor Network for Transportation System Applications. Hindawi Publishing Corporation International Journal of Vehicular Technology. 2011, Article ID: 853948.
http://dx.doi.org/10.1155/2011/853948
[21] Selvarajah, K., Arief, B., Tully, A. and Blythe, P. (2012) Deploying Wireless Sensor Devices in Intelligent Transportation System Applications. Intelligent Transportation Systems, InTech, Rijeka.
[22] Karpis, O. (2013) Wireless Sensor Networks in Intelligent Transportation Systems. International Journal of Modern Engineering Research (IJMER), 3, 611-617.
[23] Warriach, E. and Claudel, C. (2013) A Machine Learning Approach for Vehicle Classification Using Passive Infrared and Ultrasonic Sensors. Proceedings of 12th International ACM Conference on Information Processing in Sensor Networks (IPSN). Philadelphia, 08-11 April 2013, 333-334.
http://dx.doi.org/10.1145/2461381.2461434
[24] Masarak—Traffic-Enabled Services Project (2014) Qatar Mobility Innovation Center. http://www.masarak.com
[25] Hawa’ak—Environment Monitoring System Project. Qatar Mobility Innovation Center
http://www.qmic.com/solutions/smart-living-services/environment-monitoring-system
[26] Labeeb—Intelligent Sensing and M2M Platform (2014) Qatar Mobility Innovation Center.
http://www.qmic.com/solutions/intelligent-sensing-and-m2m-platform
[27] Dash—Smarter Driving Every day (2014)
http://dash.by
[28] Dai, J.J. and Song, H. (2011) Design and Realization of CAN Bus Vehicle Instrument Cluster Based on μC/OS-II. Proceedings of 2nd International Conference on Mechanic Automation and Control Engineering (MACE), Hohhot, 15-17 July 2011, 1159-1161.
[29] Safe Road Trains for the Environment (SARTRE) (2014) EU-Funded Project.
http://www.sartre-project.eu

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.