Noelia Cáceres Sánchez TESIS DOCTORAL - Universidad de Sevilla

More documents

Recommendations

Info

BIBLIOGRAFÍA Abrahamsson T. Estimation of origin-destination matrices using traffic counts – a literature survey. Interim report, International Institute for Applied Systems Analysis, A-2361. Laxenburg, Austria, 1998. Ahas R., Ülar M. Location based services–new challenges for planning and public administration?. Futures, vol. 37(6), 547-561, 2005 AirSage. Using Cellular Technology to Provide an Intelligent Traffic Roadmap. Disponible on– line (Acceso Junio, 2007): http://www.airsage.com/pdf/trafficewise_release.pdf Akin D., Sisiopiku V. P. Estimating origin-destination matrices using location information from cell phones. Proc. of 49th Annual North American Meetings of the Regional Science Association International, Puerto Rico, 2002. Bar-Gera H. Evaluation of a cellular phone-based system for measurement of traffic speeds and travel times: A case study from Israel. Transportation Research Part C, vol. 15(6), 380–391, 2007. Bar-Gera H. Transport Network Test Problems. Ben-Gurion University of the Negev. Disponible online (Acceso Mayo, 2007b): http://www.bgu.ac.il/~bargera/tntp/ Bazaraa M. S., Shetty C. M. Nonlinear Programming: Theory and Algorithms. John Wiley & Sons, Inc, 1979. Beckmann M., McGuire C., Winsten C. Studies in the Economics of Transportation. Yale University Press, New Haven, Connecticut, 1956. Bekhor S., Hirsh M., Nimre S., Feldman I. Identifying Spatial and Temporal Congestion Characteristics using Passive Mobile Phone Data. Transportation Research Board 87th Annual Meeting, CD-ROM paper no. 1534, 2008. Bell M.G.H. The estimation of an origin-destination matrix by constrained generalized least squares. Transportation Research 25, 13–22, 1991.
166 ESTIMACIÓN DE MATRICES DE MOVILIDAD MEDIANTE DATOS DE TELEFONÍA MÓVIL Birle C., Wermuth M. The Traffic Online Project. Special Session: Cellular-based traffic data collection. SS45 (EU). 13th World Congress on ITS, London, United Kingdom, 2006. Bolla R., Davoli F., Giordano F. Estimating road traffic parameters from mobile communications. 7th World Congress on ITS, Torino, Italy, 2000. Caceres N., Benitez F.G., Romero L.M., Vázquez J., Wideberg J. Herramienta para la inferencia y actualización de matrices O-D de movilidad a través de datos de telefonía celular. Informe Final FOM/486/2003, 2005. Caceres N., Wideberg J. P., Benitez F. G. Deriving origin-destination data from a mobile phone network. IET Proc. Intelligent Transport Systems, vol. 1(1), pp. 15–26, 2007. Caceres N., Wideberg J., Benitez F.G. Review of traffic data estimations extracted from cellular networks, IET Proc. Intelligent Transport Systems, vol. 2(3), pp179–192, 2008. Cascetta E. Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator, Transportation Research, 18B, 1984. Cascetta E., Nguyen S. A unified framework for estimating or updating origin/destination matrices from traffic counts. Transportation Research, 22B. 437-455, 1988. Cayford R., Johnson T. Operational Parameters Affecting Use of Anonymous Cell Phone Tracking for Generating Traffic Information. Transportation Research Board 82th Annual Meeting, vol. 1(3):03–3865, 2003. CMT (Comisión del Mercado de las Telecomunicaciones). Informe Telefonía Móvil. Enero, 2009. CDB, Communities Dominate Brands. A mobile phone for every living person in Western Europe: penetration hits 100%. Disponible on–line (Acceso Octubre, 2007): http://communities-dominate.blogs.com/brands/2006/03/phone_for_every.html CRT, Consorcio Regional de Transportes de la Comunidad de Madrid, Modelización de la Movilidad en Día Laborable de 2004 en la Comunidad de Madrid, 2004. Chen Y., Florian M. O–D demand adjustment problem with congestion: Part I. model analysis and optimality conditions. In L. Bianco and P. Toth (Eds.), Advanced Methods in Transportation Analysis, pp. 1–22. Berlin: Springer-Verlag, 1996.
Page 1 and 2:
Noelia Cáceres Sánchez TESIS DOCT
Page 4:
TESIS DOCTORAL ESTIMACIÓN DE MATRI
Page 8:
AGRADECIMIENTOS Esta Tesis Doctoral
Page 11 and 12:
CAPÍTULO 3 ESTADO DEL ARTE EN EL
Page 14 and 15:
ÍNDICE DE FIGURAS Figura 2-1: Arqu
Page 16 and 17:
Figura 4-15: Evolución del nº de
Page 18:
ÍNDICE DE TABLAS Tabla 3-1: Compar
Page 21 and 22:
2 ESTIMACIÓN DE MATRICES DE MOVILI
Page 23 and 24:
Page 25 and 26:
Page 27 and 28:
Page 29 and 30:
10 ESTIMACIÓN DE MATRICES DE MOVIL
Page 31 and 32:
Page 33 and 34:
Page 35 and 36:
Page 37 and 38:
Page 39 and 40:
Page 41 and 42:
Page 43 and 44:
Page 45 and 46:
Page 47 and 48:
Page 49 and 50:
Page 51 and 52:
Page 53 and 54:
Page 55 and 56:
Page 57 and 58:
Page 59 and 60:
Page 61 and 62:
Page 63 and 64:
Page 65 and 66:
Page 67 and 68:
Page 69 and 70:
Page 71 and 72:
Page 73 and 74:
Page 75 and 76:
Page 77 and 78:
Page 79 and 80:
Page 81 and 82:
Page 83 and 84:
Page 85 and 86:
Page 87 and 88:
Page 89 and 90:
Page 91 and 92:
Page 93 and 94:
Page 95 and 96:
Page 97 and 98:
Page 99 and 100:
Page 101 and 102:
Page 103 and 104:
Page 105 and 106:
Page 107 and 108:
Page 109 and 110:
Page 111 and 112:
Page 113 and 114:
Page 115 and 116:
Page 117 and 118:
Page 119 and 120:
100 ESTIMACIÓN DE MATRICES DE MOVI
Page 121 and 122:
Page 123 and 124:
Page 125 and 126:
Page 127 and 128:
Page 129 and 130:
Page 131 and 132:
Page 133 and 134: 114 ESTIMACIÓN DE MATRICES DE MOVI
Page 183: 164 ESTIMACIÓN DE MATRICES DE MOVI
Page 199: 180 ESTIMACIÓN DE MATRICES DE MOVI
show all

Noelia Cáceres Sánchez TESIS DOCTORAL - Universidad de Sevilla

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?