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IPOD Abstract for presentation (Poster or Podium)

Transportation and Public Health

1666005 - Safety and Health Impacts of Mobility Alternatives

Monday, June 17, 2024
2:30 PM - 2:45 PM ET
Room: 219
Abstract:

Fast-growing technological advancements such as automated vehicles, cloud computing, artificial intelligence and electric micro-mobility will shape the future of our transportation systems. There is need for evidence-based research and empirical measurements to assess the potential impacts of different mobility alternatives on public health and safety. This research assesses bikeshare networks and active transportation to improve urban mobility, physical activity and public health outcomes as well as automated vehicle impacts on fatal crashes and real-time incident detection models on corridors' traffic safety and operational conditions. Both classical and quantum machine learning (ML) models are used to identify incidents using connected vehicle (CV) data.

Learning Objectives:

Attendees can expect to learn the following from this session:
  • Investigate differences in trip characteristics E-Bike and E-Scooter micromobility travel modes through comparison of GPS tracking, transportation network conditions, traffic operations, and GIS analysis
  • Describe how automated vehicle technologies can impact fatal crash outcomes
  • Compare classical and quantum machine learning (ML) models to identify incidents using connected vehicle (CV) data