Smart Mobility Research / Applications Smart Mobility — where we apply it Sensing, communication, and computing are reshaping how cities move. INSPIRE Lab studies how to share information for adaptive routing, price ride-sourcing services to balance supply and demand, and operate smarter transit and shared mobility systems in heterogeneous traffic networks. Problems We Tackle — three core challenges Problem 01 Information Sharing & Adaptive Routing Designing what, when, and where to share traffic information to improve system-wide mobility and safety. Problem 02 Ride-Sourcing & Spatial Pricing Pricing strategies for transportation network companies to balance supply, demand, and congestion across regions. Problem 03 Smart Transit & Mobility Services Real-time monitoring and infrastructure planning for transit, shared mobility, and emerging service models. Featured Publications — recent highlights TR-C · 2023 System-Level Impacts of En-Route Information Sharing Considering Adaptive Routing Afifah, Guo & Abdel-Aty Preprint · 2026 Multi-agent Optimization of Non-cooperative Multimodal Mobility Systems Rafi & Guo TR-C · 2023 Intermediate Service Facility Planning in a Stochastic and Competitive Market Baghali, Guo, Deride & Fan Full Publication List → Highlighted Projects PI NSF · Safer-Sim OPTIMA — Optimizing Information Value in Heterogeneous Multi-agent Transportation Systems Co-PI FDOT Evaluating and Validating Technology Options for Estimating Transit Vehicle Occupancy in Real Time
