I-VDE: A novel approach to estimate vehicular density by using vehicular networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7960 LNCS, Issue , 2013, Pages 63-74

  Barrachina, Javier ^a   Garrido, Piedad ^a   Fogue, Manuel ^a   Martinez, Francisco J ^a   Cano, Juan Carlos ^b   Calafate, Carlos T ^b   Manzoni, Pietro ^b  

^a UNIVERSITY OF ZARAGOZA   (Spain)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Road Side Unit; VANETs; vehicular density estimation; Vehicular Networks

Indexed keywords

CONGESTION PROBLEM; DENSITY ESTIMATION; INDUCTIVE LOOP DETECTORS; INTELLIGENT TRANSPORTATION SYSTEMS; TRAFFIC INFORMATION SYSTEMS; TRAFFIC SURVEILLANCE; VANETS; VEHICULAR NETWORKS;

ESTIMATION; HIGHWAY TRAFFIC CONTROL; INTELLIGENT SYSTEMS; MOTOR TRANSPORTATION; ROADS AND STREETS; TRAFFIC CONGESTION; WIRELESS NETWORKS;

VEHICULAR AD HOC NETWORKS;

EID: 84884510664     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-39247-4_6     Document Type: Conference Paper

References (16)

1. Akhtar, N., Ergen, S., Ozkasap, O.: Analysis of distributed algorithms for density estimation in VANETs. In: IEEE Vehicular Networking Conference (VNC), pp. 157-164 (November 2012)
2. Barrachina, J., Garrido, P., Fogue, M., Martinez, F.J., Cano, J.C., Calafate, C.T., Manzoni, P.: 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 (June 2012)
3. Fall, K., Varadhan, K.: ns notes and documents. The VINT Project. UC Berkeley, LBL, USC/ISI, and Xerox PARC (February 2000), http://www.isi.edu/ nsnam/ns/ns-documentation.html
4. Fogue, M., Garrido, P., Martinez, F.J., Cano, J.C., Calafate, C.T., Manzoni, P.: A Realistic Simulation Framework for Vehicular Networks. In: 5th International ICST Conference on Simulation Tools and Techniques (SIMUTools 2012), Desenzano, Italy, pp. 37-46 (March 2012)
5. Fogue, M., Garrido, P., Martinez, F.J., Cano, J.C., Calafate, C.T., Manzoni, P.: Evaluating the impact of a novel message dissemination scheme for vehicular networks using real maps. Transportation Research Part C: Emerging Technologies 25, 61-80 (2012)
6. Garelli, L., Casetti, C., Chiasserini, C., Fiore, M.: MobSampling: V2V Communications for Traffic Density Estimation. In: IEEE 73rd Vehicular Technology Conference (VTC Spring), pp. 1-5 (May 2011)
7. Krajzewicz, D., Rossel, C.: Simulation of Urban MObility (SUMO), Centre for Applied Informatics (ZAIK) and the Institute of Transport Research at the German Aerospace Centre (2012), http://sumo.sourceforge.net
8. Krauss, S., Wagner, P., Gawron, C.: Metastable states in a microscopic model of traffic flow. Physical Review E 55(5), 5597-5602 (1997)
9. Martinez, F.J., Toh, C.K., Cano, J.C., Calafate, C.T., Manzoni, P.: Determining the representative factors affecting warning message dissemination in VANETs. Wireless Personal Communications 67(2), 295-314 (2012)
10. Martinez, F.J., Cano, J.C., Calafate, C.T., Manzoni, P., Barrios, J.M.: 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. ACM, NY (2009)
11. OpenStreetMap: Collaborative project to create a free editable map of the world (2012), http://www.openstreetmap.org
12. Soldo, F., Lo Cigno, R., Gerla, M.: Cooperative synchronous broadcasting in infrastructure-to-vehicles networks. In: Fifth Annual Conference on Wireless on Demand Network Systems and Services (WONS), pp. 125-132 (January 2008)
13. Stanica, R., Chaput, E., Beylot, A.: 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 (September 2011)
14. Tan, E., Chen, J.: 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 (September 2007)
15. Tyagi, V., Kalyanaraman, S., Krishnapuram, R.: Vehicular traffic density state estimation based on cumulative road acoustics. IEEE Transactions on Intelligent Transportation Systems 13(3), 1156-1166 (2012)
16. ZunZun: Online Curve Fitting and Surface Fitting Web Site (2013), http://www.zunzun.com