The final reports for Applications of Connected Vehicle Infrastructure Technologies to Enhance Transit Service Efficiency and Safety, submitted by (1) Dr. Kathleen Hancock and (2) Dr. Young-Jae Lee, Clayton Thomas, and Seyedehsan Dadvar, has been released.
Report Abstracts:
(Final Report 1) Implementing Connected Vehicle Infrastructure (CVI) applications for handheld devices into public transportation transit systems would provide transit agencies and their users with two-directional information flow from traveler-to-agencies, agencies-to-traveler, traveler-to-vehicle, and vehicle-to-traveler. This information flow could improve the efficiency of services provided by the agency and enhance the safety of travelers and drivers. This project developed an architectural framework for two CVI applications: (1) an application for dynamic demand-response transit (DRT) services and (2) an enhanced traveler safety application that allows individuals to notify a transit vehicle that they are within a specified distance of the vehicle’s current stop location. A limited simulation was performed to evaluate the potential of using this location information with respect to a transit vehicle to provide flexibility for that vehicle to remain at a stop for a limited time, minimizing passenger wait time and exposure to potential safety issues, specifically during night operations. An annotated bibliography of resources used for this study is also provided.
(Final Report 2) Many transit agencies provide real-time operational information and trip-planning tools through phone, Web, and smartphone applications. These services utilize a one-way information flow from transit agencies to transit users. Current smartphone technology and connected vehicle infrastructure (CVI), however, can allow a two-directional information flow from users to transit agencies and back. This report provides a literature review on the state of current transit apps; proposes a system architecture for a smartphone app that allows for dynamic flexible routing and increased transit user safety; and presents the results of a survey conducted on the perception and acceptability of the model app. Survey results were analyzed in terms of safety, efficiency, and privacy for different demographic, travel behavior, and geographic characteristics. Results showed that users did not significantly consider the privacy issues (7.1 on a scale from 1 [least acceptable] to 10 [most acceptable]) but believed that it could improve nighttime safety (7.3/10.0). Users believed that the app could improve nighttime pedestrian safety if it were connected to the police department (7.8/10.0). This app was also expected to improve transit efficiency and increase ridership, and is eventually recommendable (7.3/10.0). The least expected improvement was daytime safety (6.4/10.0), which is reasonable and expectable.
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