Summary
Higher education campuses face significant challenges due to the operation of parking systems, shuttle services, electric vehicle (EV) charging stations, and micromobility services as isolated entities. This fragmentation leads to inefficiency, inequity, and widespread dissatisfaction among students, faculty, and administrators.
Unifying these fragmented systems through artificial intelligence (AI)-powered decision intelligence, supported by a connected digital twin of the campus, offers a viable solution. Integrating Internet of Things (IoT) sensors, real-time data, and predictive analytics enables institutions to transition from reactive responses to proactive planning.
The benefits are tangible:
- Sustainability: Optimize EV infrastructure, reduce congestion, and track carbon savings.
- Equitable Mobility: Ensure ADA compliance, balanced distribution of mobility assets, and fair access for all users.
- Emergency Preparedness: Monitor occupancy, guide evacuations dynamically, and provide priority routing for first responders.
- Data Literacy: Empower staff and students alike with intuitive dashboards that make complex information actionable.
This white paper examines the technology, use cases, and implementation roadmap for a Connected Campus Mobility Model, with the objective of creating seamless and intelligent mobility experiences. To better understand these opportunities, it is important to first explore the current mobility challenges faced by higher education campuses.
