Archive | May, 2010

Augmented Reality Comes to TriMet

Clearly an escape from the real world is required.

Seriously, there are several new applications making use of TriMet’s open data, and a couple of them take an augmented reality approach. For example, you can point your camera phone at a bus stop and get an overlay of the next arrival time.

Very cool, but since the iPhone version requires the 3GS and I only have the lowly 3G, I have not yet been able to try it.

Feds to the Rescue on Transit Operations?

The “Public Transportation Preservation Act of 2010” was introduced in the Senate yesterday. According to Transportation for America it will:

…authorize $2 billion for transit agencies nationwide to help close funding gaps in operating costs. Transit agencies can use these funds to reduce fare increases and restore services that were cut after January 2009 or to prevent future service cuts or fare increases through September 2011. Agencies that have not increased rates or cut services and do not plan to do so may use the funds for infrastructure improvements.

T4America has an action page where you can encourage your Senators to support the bill.

If we can bail out Wall Street, bailing out transit seems more than fair!

Why You Ride Where You Ride

Portland State University
Center for Transportation Studies
Spring 2010 Transportation Seminar Series

Speaker: Joe Broach, PhD student, Urban Studies, Portland State University

Topic: Developing a Bicyclist Route Choice Model Using GPS Data

Abstract: Existing regional travel forecasting systems are not typically set up to forecast usage of bicycle infrastructure and are insensitive to bicyclists’ route preferences in general. We collected revealed preference, GPS data on 162 bicyclists over the course of several days and coded the resulting trips to a highly detailed bicycle network model. We then use these data to estimate bicyclist route choice models. As part of this research, we developed a sophisticated choice set generation algorithm based on multiple permutations of labeled path attributes, which seems to out-perform comparable implementations of other route choice set generation algorithms. The model was formulated as a Path-Size Logit model to account for overlapping route alternatives. The estimation results show compelling intuitive elasticities for route choice attributes, including the effects of distance and delay; avoiding high-volumes of vehicular traffic, stops and turns, and elevation gain; and preferences for certain bike infrastructure types, particularly at bridge crossings and off-street paths. Estimation results also support segmentation by commute versus non-commute trip types, but are less clear when it comes to gender. The final model will be implemented as part of the regional travel forecasting system for Portland, Oregon, U.S.A.

When: Friday, May 28, 2010, 12:00 – 1:00pm

Where: PSU Urban Center Building, SW 6th and Mill, Room 204