Commenced in January 2007
Paper Count: 30184
Visualizing Transit Through a Web Based Geographic Information System
Authors: Ricardo Hoar
Abstract:Currently in many major cities, public transit schedules are disseminated through lists of routes, grids of stop times and static maps. This paper describes a web based geographic information system which disseminates the same schedule information through intuitive GIS techniques. Using data from Calgary, Canada, an map based interface has been created to allow users to see routes, stops and moving buses all at once. Zoom and pan controls as well as satellite imagery allows users to apply their personal knowledge about the local geography to achieve faster, and more pertinent transit results. Using asynchronous requests to web services, users are immersed in an application where buses and stops can be added and removed interactively, without the need to wait for responses to HTTP requests.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1076718Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1512
 Moshe Ben-Akiva Asad Khattak, Amalia Polydoropoulou. Modeling revealed and stated pretrip travel response to advanced traveler information systems. Transportation Research Record: Journal of the Transportation Research Board, 1537:46-54, 1996.
 S. Travis Waller Athanasios K. Ziliaskopoulos. An internet-based geographic information system that integrates data, models and users for transportation applications. Transportation Research Part C: Emerging Technologies, 8:427-444, February-December 2000.
 L. Figueiredo, I. Jesus, J.A.T. Machado, J.R. Ferreira, and J.L. Martins de Carvalho. Towards the development of intelligent transportation systems. Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE, pages 1206-1211, 2001.
 Google. Google maps api reference. http://code.google.com/apis/maps/documentation/reference.html.
 The PHP Group. Php: Hypertext preprocessor. http://php.net.
 Inc. HarGroup Management Consultants. Calgary transit customer satisfaction survey 2007. http://calgarytransit.com/pdf/2007 .pdf, 2007.
 R. Hoar and J. Penner. The application of artificial intelligence to transportation system design. Crossroads, 9(3):5-9, 2003.
 R. Hoar, J. Penner, and C. Jacob. Evolutionary swarm traffic: if ant roads had traffic lights. Evolutionary Computation, 2002. CEC -02. Proceedings of the 2002 Congress on, 2:1910-1915, 2002.
 Ricardo Hoar. Multi-agent modeling and analysis of pedestrian and vehicular traffic. Master-s thesis, University of Calgary, 2004.
 S.D. Maclean and D.J. Dailey. Busview: a graphical transit information system. Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE, pages 1073-1078, 2001.
 Sun Microsystems. Mysql 5.0 reference manual. http://dev.mysql.com/doc/refman/5.0/en/index.html.
 Christopher C. Miller. A beast in the field: The google maps mashup as gis/2. Cartographica: The International Journal for Geographic Information and Geovisualization, 41:12, 2006.
 L.D. Paulson. Building rich web applications with ajax. Computer, 38(10):14-17, Oct. 2005.
 John C. Sutton. Gis applications in transit planning and operations: A review of current practice, effective applications and challenges in the usa. Transportation Planning & Technology, 28(4):p237 - 250, 20050801.
 Calgary Transit. About ct (satistics - fleet information). http://calgarytransit.com/html/fleet information.html.
 J.S. Zepeda and S.V. Chapa. From desktop applications towards ajax web applications. Electrical and Electronics Engineering, 2007. ICEEE 2007. 4th International Conference on, pages 193-196, Sept. 2007.
 Qian Zhen, Lu Huapu, and Liu Chong. Research on urban transit planning and management system based on gis. Intelligent Transportation Systems, 2005. Proceedings. 2005 IEEE, pages 504-509, Sept. 2005.