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Dual-mode control for dedicated-lane networks in mixed semi-autonomous vehicle traffic
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DOI：10.1016/j.trc.2025.105491.png)
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Abstract
En 中文
The urban mobility landscape is evolving from traditional vehicles (TVs) to a mix including semiautonomous vehicles (semi-AVs), which provide automation functions yet still require human oversight. A key characteristic of semi-AVs, often overlooked in existing mixed traffic studies, is their dual-mode driving capability, allowing control to switch between human drivers and semiautonomous systems. Our study addresses this gap by focusing on mixed semi-AV traffic environments and leveraging the unique dual-mode driving capability of semi-AVs to enhance overall urban network efficiency. We propose a novel dual-mode control methodology for mixed semi-AV traffic, implementing dedicated lanes to avoid the complex interactions between autonomously driven semi-AVs (AD-SAVs) and manually driven vehicles. The critical AD-SAV proportion that maximizes network flow is identified by modeling the traffic dynamics of the dedicated-lane network using a three-dimensional macroscopic fundamental diagram (3D-MFD), providing a practical reference for effectively managing mixed traffic. A dual-mode pricing system is developed to dynamically adjust vehicle proportions through an adaptive pricing strategy. This strategy is encapsulated in an optimization model that utilizes a mixed logit model to determine the optimal pricing adjustments. Utilizing the analytical properties of the mixed traffic characterized by the 3D-MFD, an equivalent stage-wise reformulation model is constructed for real-time computation. By dynamically optimizing the proportion of AD-SAVs, our approach ensures efficient lane utilization, enhances overall traffic flow, and reduces congestion without requiring costly infrastructure modifications. Through extensive simulations, the proposed dual-mode control strategy demonstrates significant improvements in traffic efficiency, contributing a scalable, cost-effective solution for integrating semi-AVs into urban transportation networks.
Keywords:
Dual-mode control
Mixed traffic
Semi-autonomous vehicles
Dedicated lanes
Pricing
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