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Estimating Transit Ridership Patterns Through Automated Data Collection Technology: A Case Study In San Luis Obispo, California, Ashley Kim
Master's Theses
Public transportation offers a crucial solution to the travel demand in light of national and global economic, energy, and environmental challenges. If implemented effectively, public transit offers an affordable, convenient, and sustainable transportation mode. Implementation of new technologies for information-harvesting may lead to more effective transit operations. This study examines the potential of automated data collection technologies to analyzing and understand the origin-destination flow patterns, which is essential for transit route planning and stop location placement.
This thesis investigates the collection and analysis of data of passengers onboard San Luis Obispo Transit buses in February and March 2017 using Bluetooth …
Exploring Travel Time Reliability Using Bluetooth Data Collection: A Case Study In San Luis Obispo, California, Krista Purser
Exploring Travel Time Reliability Using Bluetooth Data Collection: A Case Study In San Luis Obispo, California, Krista Purser
Master's Theses
Bluetooth technology applications have improved travel time data collection efforts and allowed for collection of large data sets at a low cost per data unit. Mean travel times between pairs of points are available, but the primary value of this technique is the availability of the entire distribution of travel times throughout multiple days and time periods, allowing for a greater understanding of travel time variations and reliability. The use of these data for transportation planning, engineering and operations continues to expand. Previous applications of similar data sources have included travel demand and simulation model validation, work zone traffic patterns, …