- -

A V2I-based real-time traffic density estimation system in urban scenarios

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

A V2I-based real-time traffic density estimation system in urban scenarios

Mostrar el registro completo del ítem

Barrachina, J.; Garrido, P.; Fogue, M.; Martínez, FJ.; Cano Escribá, JC.; Tavares De Araujo Cesariny Calafate, CM.; Manzoni, P. (2015). A V2I-based real-time traffic density estimation system in urban scenarios. Wireless Personal Communications. 83(1):259-280. https://doi.org/10.1007/s11277-015-2392-4

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/64102

Ficheros en el ítem

Thumbnail
Nombre: paper_trafficdens ...
Tamaño: 1.877Mb
Formato: PDF
Descripción: Versión del Autor.
Abrir/Preview
[Cerrado]
Nombre: PUBLICADO_FINAL.pdf
Tamaño: 3.658Mb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor

Metadatos del ítem

Título: A V2I-based real-time traffic density estimation system in urban scenarios
Autor: Barrachina, Javier Garrido, Piedad Fogue, Manuel Martínez, Francisco J. Cano Escribá, Juan Carlos Tavares de Araujo Cesariny Calafate, Carlos Miguel Manzoni, Pietro
Entidad UPV: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Fecha difusión:
Resumen:
The number of vehicles in our roads is drastically increasing, especially in developing countries. In addition, these vehicles tend to be concentrated in urban areas which present a large population. Since traffic jams ...[+]
Palabras clave: Vehicular networks , Vehicular density estimation , V2I communications , Road side unit , VANETs
Derechos de uso: Reserva de todos los derechos
Fuente:
Wireless Personal Communications. (issn: 0929-6212 ) (eissn: 1572-834X )
DOI: 10.1007/s11277-015-2392-4
Editorial:
Springer Verlag
Versión del editor: http://link.springer.com/article/10.1007%2Fs11277-015-2392-4
Código del Proyecto:
info:eu-repo/grantAgreement/MICINN//TIN2011-27543-C03-01/ES/WALKIE-TALKIE: SOPORTE A ENTORNOS DE TRANSPORTE SEGURO, INTELIGENTE Y SOSTENIBLE PARA LA FUTURA GENERACION DE COCHES INTELIGENTES/
Descripción: The final publication is available at Springer via http://dx.doi.org/10.1007/s11277-015-2392-4
Agradecimientos:
This work was partially supported by the Ministerio de Ciencia e Innovacion, Spain, under Grant TIN2011-27543-C03-01, and by the Government of Aragon and the European Social Fund (T91 Research Group).
Tipo: Artículo

References

Stanica, R., Chaput, E., & Beylot, A. (2011). Local density estimation for contention window adaptation in vehicular networks. In IEEE 22nd international symposium on personal indoor and mobile radio communications (PIMRC) (pp. 730–734).

Tyagi, V., Kalyanaraman, S., & Krishnapuram, R. (2012). Vehicular traffic density state estimation based on cumulative road acoustics. IEEE Transactions on Intelligent Transportation Systems, 13(3), 1156–1166.

Tan, E., & Chen, J. (2007). Vehicular traffic density estimation via statistical methods with automated state learning. In IEEE conference on advanced video and signal based surveillance (AVSS) (pp. 164–169). [+]
Stanica, R., Chaput, E., & Beylot, A. (2011). Local density estimation for contention window adaptation in vehicular networks. In IEEE 22nd international symposium on personal indoor and mobile radio communications (PIMRC) (pp. 730–734).

Tyagi, V., Kalyanaraman, S., & Krishnapuram, R. (2012). Vehicular traffic density state estimation based on cumulative road acoustics. IEEE Transactions on Intelligent Transportation Systems, 13(3), 1156–1166.

Tan, E., & Chen, J. (2007). Vehicular traffic density estimation via statistical methods with automated state learning. In IEEE conference on advanced video and signal based surveillance (AVSS) (pp. 164–169).

Dias, J. A., Rodrigues, J. J., & Zhou, L. (2013). Performance evaluation of cooperative strategies for vehicular delay-tolerant networks. Transactions on Emerging Telecommunications Technologies. doi: 10.1002/ett.2683

Chou, L.-D., Yang, J.-Y., Hsieh, Y.-C., Chang, D.-C., & Tung, C.-F. (2011). Intersection-based routing protocol for VANETs. Wireless Personal Communications, 60(1), 105–124.

Fogue, M., Garrido, P., Martinez, F. J., Cano, J.-C., Calafate, C. T., & Manzoni, P. (2013). An adaptive system based on roadmap profiling to enhance warning message dissemination in VANETs. IEEE/ACM Transactions on Networking, 21(3), 883–895.

Soldo, F., Lo Cigno, R., & Gerla, M. (2008). Cooperative synchronous broadcasting in infrastructure-to-vehicles networks. In Fifth annual conference on wireless on demand network systems and services (WONS) (pp. 125–132).

Vales-Alonso, J., Vicente-Carrasco, F., & Alcaraz, J. (2011). Optimal configuration of roadside beacons in V2I communications. Computer Networks, 55(14), 3142–3153.

Fazio, P., De Rango, F., & Lupia, A. (2013). A new application for enhancing VANET services in emergency situations using the WAVE/802.11p standard. In IFIP wireless days (WD) (pp. 1–3).

Ghafoor, K., Lloret, J., Bakar, K., Sadiq, A., & Mussa, S. (2013). Beaconing approaches in vehicular ad hoc networks: A survey. Wireless Personal Communications, 73(3), 885–912.

Martinez, F. J., Cano, J.-C., Calafate, C. T., Manzoni, P., & Barrios, J. M. (2009). Assessing the feasibility of a VANET. In ACM workshop on performance monitoring, measurement and evaluation of heterogeneous wireless and wired networks (PM2HW2N,. 2009. held with MSWiM) (pp. 39–45). New York, NY, USA: ACM.

Deng, D.-J., Chen, H.-C., Chao, H.-C., & Huang, Y.-M. (2011). A collision alleviation scheme for IEEE 802.11p VANETs. Wireless Personal Communications, 56(3), 371–383.

Santa, J., Toledo-Moreo, R., Zamora-Izquierdo, M. A., Ubeda, B., & Gomez-Skarmeta, A. F. (2010). An analysis of communication and navigation issues in collision avoidance support systems. Transportation Research Part C: Emerging Technologies, 18(3), 351–366.

Kumar, N., Chilamkurti, N., & Rodrigues, J. J. (2013). Learning automata-based opportunistic data aggregation and forwarding scheme for alert generation in vehicular ad hoc networks. Computer Communications, 39, 22–32. doi: 10.1016/j.comcom.2013.09.005 .

Galaviz-Mosqueda, G. A., Aquino-Santos, R., Villarreal-Reyes, S., Rivera-Rodriguez, R., Villaseñor Gonzalez, L., & Edwards, A. (2012). Reliable freestanding position-based routing in highway scenarios. Sensors, 12(11), 14262–14291.

Chen, P.-Y., Liu, J.-W., & Chen, W.-T. (2010). A fuel-saving and pollution-reducing dynamic taxi-sharing protocol in VANETs. In IEEE 72nd Vehicular Technology Conference Fall (VTC 2010-Fall) (pp. 1–5).

Bekris, K., Tsianos, K., & Kavraki, L. (2009). Safe and distributed kinodynamic replanning for vehicular networks. Mobile Networks and Applications, 14(3), 292–308.

Gonzalez, A. J., Alcober, J., de Pozuelo, R. M., Pinyol, F., & Ghafoor, K. Z. (2011). Context-aware multimedia service composition using quality assessment. In IEEE international conference on multimedia and expo (ICME) (pp. 1–6).

Maslekar, N., Boussedjra, M., Mouzna, J., & Labiod, H. (2011). A stable clustering algorithm for efficiency applications in VANETs. In 7th International wireless communications and mobile computing conference (IWCMC) (pp. 1188–1193).

Shirani, R., Hendessi, F., & Gulliver, T. (2009). Store-carry-forward message dissemination in vehicular ad-hoc networks with local density estimation. In IEEE 70th Vehicular Technology Conference Fall (VTC 2009-Fall) (pp. 1–6).

Balcilar, M., & Sonmez, A. (2008). Extracting vehicle density from background estimation using Kalman filter. In 23rd International symposium on computer and information sciences (ISCIS ’08) (pp. 1–5).

Thakur, G., Hui, P., Ketabdar, H., & Helmy, A. (2011). Spatial and temporal analysis of planet scale vehicular imagery data. In IEEE 11th international conference on data mining workshops (ICDMW) (pp. 905–910).

Sanguesa, J. A., Fogue, M., Garrido, P., Martinez, F. J., Cano, J.-C., Calafate, C., et al. (2013). An infrastructureless approach to estimate vehicular density in urban environments. Sensors, 13, 2399–2406.

Rodrigue, J.-P., & Notteboom, T. (2012). The geography of transport systems. http://people.hofstra.edu/geotrans

Schrank, D., Lomax, T., Turner, S. (2010). TTIs 2010 urban mobility report powered by INRIX traffic data. Texas Transportation Institute, The Texas A&M University System. http://mobility.tamu.edu/ums/

Ye, Z., Limin, J., Guoqiang, C., & Min, G. (2008). Approach and application of transportation state analysis. In Fourth international conference on networked computing and advanced information management (NCM ’08) (Vol. 2, pp. 260–265).

Krajzewicz, D., Erdmann, J., Behrisch, M., & Bieker, L. (2012). Recent development and applications of SUMO—Simulation of urban mobility. International Journal on Advances in Systems and Measurements, 5(3&4), 128–138.

OpenStreetMap (2012). Collaborative project to create a free editable map of the world. http://www.openstreetmap.org

Martinez, F. J., Fogue, M., Toh, C. K., Cano, J.-C., Calafate, C. T., & Manzoni, P. (2013). Computer simulations of VANETs using realistic city topologies. Wireless Personal Communications, 69(2), 639–663.

Fogue, M., Garrido, P., Martinez, F. J., Cano, J.-C., Calafate, C. T., & Manzoni, P. (2012). Evaluating the impact of a novel message dissemination scheme for vehicular networks using real maps. Transportation Research Part C: Emerging Technologies, 25, 61–80.

Fall, K., & Varadhan, K. (2000). “ns notes and documents,” The VINT Project. UC Berkeley, LBL, USC/ISI, and Xerox PARC. http://www.isi.edu/nsnam/ns/ns-documentation.html

Barrachina, J., Garrido, P., Fogue, M., Martinez, F. J., Cano, J.-C., Calafate, C. T., et al. (2012). D-RSU: A density-based approach for road side unit deployment in urban scenarios. In International workshop on ipv6-based vehicular networks (Vehi6), collocated with the 2012 IEEE intelligent vehicles symposium (pp. 1–6).

Fogue, M., Garrido, P., Martinez, F. J., Cano, J.-C., Calafate, C. T., & Manzoni, P. (2012). A realistic simulation framework for vehicular networks. In 5th International ICST conference on simulation tools and techniques (SIMUTools 2012) (pp. 37–46). Desenzano, Italy.

Krauss, S., Wagner, P., & Gawron, C. (1997). Metastable states in a microscopic model of traffic flow. Physical Review E, 55(5), 5597–5602.

Barrachina, J., Garrido, P., Fogue, M., Martinez, F. J., Cano, J.-C., Calafate, C. T., et al. (2012). VEACON: A vehicular accident ontology designed to improve safety on the roads. Journal of Network and Computer Applications, 35(6), 1891–1900.

ZunZun. (2012). Online curve fitting and surface fitting web site. http://www.zunzun.com

Anand, R., Vanajakshi, L., & Subramanian, S. (2011). Traffic density estimation under heterogeneous traffic conditions using data fusion. In IEEE intelligent vehicles symposium (IV) (pp. 31–36).

Hattori, Y., Hashimoto, T., & Inoue, S. (1999). A study for the traffic flow control considering the capacity of the road by cellular automaton method. In IEEE international conference on systems, man, and cybernetics (SMC ’99) (Vol. 4, pp. 569–573).

Bedi, P., Mediratta, N., Dhand, S., Sharma, R., & Singhal, A. (2007). Avoiding traffic jam using ant colony optimization—A novel approach. In International conference on computational intelligence and multimedia applications (Vol. 1, pp. 61–67).

Yin, Z., Junli, W., & Huapu, L. (2008). A study on urban traffic congestion dynamic predict method based on advanced fuzzy clustering model. In International conference on computational intelligence and security (CIS ’08) (Vol. 2, pp. 96–100).

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem