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.
 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.
 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.
 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,
 Calgary Transit. About ct (satistics - fleet information).
 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.