Bicyclists choose routes at least partially based on the travel time and the energy required to traverse the route [Winters2010]. Grade changes, wind, stop signs, traffic signal timing, rough pavement, undulations, etc. all contribute to the time and energy costs [Broach2012]. Urban planners and civil engineers design infrastructure and routes for bicyclists that have specific time and energy costs associated with them. In fact, automobile routes and infrastructure often have more preferable time and energy costs than the parallel bicycle routes and infrastructure. These bicycle routes are quite squiggly and are not optimizing the convenience of the bicyclists over the automobile drive. Using simple physics-based simulations, existing and future routes and infrastructure designs can be evaluated for time and energy costs. This puts a clear quantitative numbers to important aspects of the convenience of bicycling.
The goal of this project is to 1) develop a realistic yet simple simulation of a bicyclist traversing a route that considers all major influences to time and energy costs of the rider, 2) evaluate several case studies using the simulation and demonstrate how route designs can be improved with minor changes to designed elements, 3) propose simple guidelines for planners, and 4) develop an open source web application that allows planners to evaluate routes with respect to time and energy costs.
- Review the transportation literature for related research (time costs, energy costs, bicyclist convenience, route & infrastructure design, standards & codes)
- Develop a 2D mathematical and computational simulation model that can realistically traverse routes.
- Find or collect route data based on existing routes, automobile routes, and design plans.
- Evaluate the routes and interpret the results.
- Propose simple design guidelines based on the results that will generally help lower time and energy costs.
- Develop a web application that accepts route information, simulates the route, and presents the resulting time and energy costs.
- Modeling 2D dynamics
- GIS for transportation
- Simulation of vehicle dynamics
- Web application development
|[Fajans2001]||J. Fajans and M. E. Curry, "Why Bicyclists Hate Stop Signs," no. 18, p. 2, 2001.|
|[Winters2010]||M. Winters, K. Teschke, M. Grant, E. M. Setton, and M. Brauer, "How Far Out of the Way Will We Travel?: Built Environment Influences on Route Selection for Bicycle and Car Travel," Transportation Research Record: Journal of the Transportation Research Board, vol. 2190, no. 1, pp. 1–10, Jan. 2010, doi: 10.3141/2190-01.|
|[Broach2012]||J. Broach, J. Dill, and J. Gliebe, "Where do cyclists ride? A route choice model developed with revealed preference GPS data," Transportation Research Part A: Policy and Practice, vol. 46, no. 10, pp. 1730–1740, Dec. 2012, doi: 10.1016/j.tra.2012.07.005.|
Zotero collection: https://www.zotero.org/groups/966974/mechmotum/collections/DPLMTBEG
Some preliminary work from the lab has been done that should be built upon:
How To Apply
If you would like to apply for this project, please send an approximately half page letter explaining your motivations and interest in the lab and project, CV or resume, a list of courses you've taken, the name of your MSc track, and any other relevant information to firstname.lastname@example.org.