Origin-Destination Travel Time Visualization is a web GIS application that allows users, especially intra-city commuters within the Greater Toronto Area and Hamilton (GTAH), to select different options such as time with and without tolls at different geographic scales (neighborhood, city, and regional scale). Data has been acquired from the Google Maps API. Origin-Destination Travel Time Visualization service is designed to offer a simple and attractive user interface to engage and inform users to explore OD travel times. This type of WebGIS service enables the user to compare travel time among different origins and destinations at various geographic scales from neighborhood level to regional. Travel time options include time with toll, time without toll, and multi-transit modal types including trip chains. The focus of the travel demand O-D visualization focuses on two approaches in analysing trip patterns in the GTHA. Separated by traffic zones, neighbourhood, city, and regional scales, the model will illustrate the number of travellers among different origins and destination based upon two main categories: mode choices and trip purposes. Distinguished by their departure time, the web service will illustrate a radial flow map of each service with varying line width and colours to distinguish the volume and category.
The goal of the service is to visualize the pedestrian (PSI) safety index is on a macro-level. The visualization would allow engineers and planners to gauge the Level of Services of street intersections between human and automobile traffics, thereby developing the appropriate tools and policies to mitigate danger in the affected area. The service will be utilizing a known PSI and CSI model developed by the U.S. Department of Transportation in 2006 as a foundation. The research will also select several major intersections and streets for the project.
This service visually displays congestion levels at various points along the 400-series highway network based on data collected directly at those locations over a one-month period. This service can help determine patterns of congestion resulting from, for example, abnormal weather conditions or major events. Loop detectors located in the road every 2-3 km on the major highways collect speed information on passing vehicles every 20 seconds. This information can be used to determine traffic conditions. When speeds are below a certain comfortable travel level, determined here to be 85 km/h, travelers are said to be experiencing congestion. This level of congestion is measured by the Travel Time Index, which is a number that indicates how much longer the travel time is compared to a comfortable travel speed.