BGSF Looks at Solutions for Transport-Challenged Populations
In collaboration with the City of Memphis, in March the University of Memphis submitted a proposal for the development of an AV demo that will take automation from sensory data-driven decisions to infrastructure-assisted autonomous driving. Vehicles acquire and transmit vehicular and pedestrian information beyond sensor range, enhancing collision avoidance and route adjustment. By leveraging existing routes and pathways, service capacity for transport-challenged elder and disabled communities expands while data transmission enhances infrastructural capability.
- The goal is to enhance the safety of small, low-cost autonomous vehicles to boost mobility of transportation-challenged citizens such as the elderly and disabled.
- Enables their continued participation in their communities,
- Reduces their dependence on family or society,
- Helps them overcome daily life difficulties in reaching important destinations, such as medical appointments.