The week's pick
Reseach Article
IoT for ITS: A Dynamic Traffic Lights Control based on the Kerner Three Phase Traffic Theory
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 145 - Number 1 |
| Year of Publication: 2016 |
| Authors: Rghioui Anass, Hernafi Yassine, Bouhorma Mohammed |
10.5120/ijca2016910557
|
Rghioui Anass, Hernafi Yassine, Bouhorma Mohammed . IoT for ITS: A Dynamic Traffic Lights Control based on the Kerner Three Phase Traffic Theory. International Journal of Computer Applications. 145, 1 ( Jul 2016), 40-48. DOI=10.5120/ijca2016910557
Abstract
A traffic light is a device for the regulation of traffic between road users, vehicles and pedestrians. The setting and synchronization of traffic lights of an axis or an area are very complex, and sometimes unsatisfactory for all or part of them. In addition, according to several studies, traffic lights would be responsible for half of the traffic jams and thus half the pollution, and poorly regulated lights can cause the tripling of the fuel consumption, therefore CO2 emissions and other pollutants emissions, when traffic is cluttered or too sparse. In our solution, we will try to apply the Kerner three-phase traffic theory to realize a synchronized system by establishing an Intelligent Transport System that will provide automatic management of traffic lights, while establishing a communication mode based on the concept of the Internet of Things for various traffic lights controllers to enable them to collaborate. In order to resolve the traffic jam issues, so the reduce of CO2 emissions and also the mobility metrics like the travel time. This paper is part of a project entitled ‘V2IoT’ which aims to use the techniques and concepts of the Internet of Things to improve ITS and the vehicular communications, namely, the V2V and the V2I systems within smart cities.
References
- T. Nam and T. A. Pardo, “Conceptualizing smart city with dimensions of technology, people, and institutions,” in Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, 2011, pp. 282–291.
- J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Future Gener. Comput. Syst., vol. 29, no. 7, pp. 1645–1660, 2013.
- L. Atzori, A. Iera, and G. Morabito, “The internet of things: A survey,” Comput. Netw., vol. 54, no. 15, pp. 2787–2805, 2010.
- A. Rghioui, M. Bouhorma, and A. Benslimane, “Analytical study of security aspects in 6LoWPAN networks,” in 2013 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M), 2013, pp. 1–5.
- “Internet of Things (IoT) - Cisco IoT Product Portfolio - Cisco.” [Online]. Available: http://www.cisco.com/c/en/us/solutions/internet-of-things/iot-products.html. [Accessed: 29-Apr-2016].
- T. Vaa, M. Penttinen, and I. Spyropoulou, “Intelligent transport systems and effects on road traffic accidents: state of the art,” IET Intell. Transp. Syst., vol. 1, no. 2, pp. 81–88, Jun. 2007.
- H. Hartenstein and K. Laberteaux, VANET: vehicular applications and inter-networking technologies, vol. 1. Wiley Online Library, 2010.
- S. Yousefi, M. S. Mousavi, and M. Fathy, “Vehicular ad hoc networks (VANETs): challenges and perspectives,” in ITS Telecommunications Proceedings, 2006 6th International Conference on, 2006, pp. 761–766.
- Y. Hernafi, M. Bouhorma, M. B. Ahmed, A. Boudhir, and Y. A. Alluhaidan, “Clustering Architecture for Smart Mobility Control: Application to Pilgrims in the Great Mosque in El Hajj,” J. Theor. Appl. Inf. Technol., vol. 78, no. 1, p. 84, 2015.
- J. Santa, A. F. Gómez-Skarmeta, and M. Sánchez-Artigas, “Architecture and evaluation of a unified V2V and V2I communication system based on cellular networks,” Comput. Commun., vol. 31, no. 12, pp. 2850–2861, 2008.
- “50% Rise in Gridlock Costs by 2030 | Centre for Economics and Business Research.” [Online]. Available: http://www.cebr.com/reports/the-future-economic-and-environmental-costs-of-gridlock/. [Accessed: 29-Apr-2016].
- “Touring Corporate - Presse - Enquête Touring: 3 fois plus de CO2 à cause de feux mal synchronisés.” [Online]. Available: https://www.touring.be/fr/corporatesite/qui-sommes-nous/presse/communiques/public-policy/plus-co2-par-feux-mal-synchronises/index.asp. [Accessed: 29-Apr-2016].
- “Criticism of three-phase traffic theory.” [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0191261509000228. [Accessed: 29-Apr-2016].
- B. S. Kerner, “Three-phase traffic theory and highway capacity,” Phys. Stat. Mech. Its Appl., vol. 333, pp. 379–440, 2004.
Index Terms
Keywords