Activating self-scheduling workers on on-demand platforms when services are most needed is challenging because of a lack of cooperation between workers. To align workers' interests with the platform's profit-driven goals, various ride-sharing and food delivery platforms have recently embraced...

To cope with the uncertainty of labor supply from freelance/self-scheduling drivers, some ride-sourcing platforms recruit contractual drivers, who are paid a fixed salary for prespecified work schedules. This paper develops an aggregate modeling framework to examine the practicability of such a...

This paper develops a model to investigate the effects of spatial pricing on ride-sourcing markets. The model is built upon a discrete time geometric matching framework that matches customers with drivers nearby. We demonstrate that a customer may be matched to a distant vehicle when demand...

This study considers dynamic parking management in the era of driving automation that users of privately-owned automated vehicles (AVs) come to a downtown area to conduct various activities and choose between three parking options: outskirt parking, on-street parking, and...

This paper investigates intersection control in a fully connected and automated vehicle (CAV) environment, which aims to coordinate in real-time conflicting traffic movements under safety and kinodynamic constraints to maximize intersection throughput or minimize traffic delay. Given the...

On-demand ride-hailing services are becoming a ubiquitous means of mobility in major cities. While convenient and accessible, they are costly for many, and thus ride-hailing providers are often offering pooling options that allow passengers to share a ride and split the fare. The downside of...

This paper proposes a macroscopic fluid modeling framework to assist with strategic decision making of a platform for operating a large-scale on-demand app-based ride-hailing system. The framework captures the spatiotemporal characteristics of a ride-hailing system, and is flexible in...