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My research focuses on the modeling, analysis, and design of future transportation systems, with an emphasis on both short-term and long-term visions. For short-term objectives, I have developed data-driven methodologies for descriptive and prescriptive analysis of complex, large-scale transportation systems. However, what truly distinguishes my work is my long-term vision, where, in collaboration with many great partners, I have proposed innovative strategies for coordinating large-scale future traffic systems. The following highlights three key aspects of my research.
Rhythmic Control
Rhythmic Control (RC) is an innovative traffic control framework designed for connected and automated environments. RC introduces the concept of regularly and recurrently moving virtual containers within transportation facilities. Vehicles flow seamlessly within these pre-designed virtual containers, enabling trips to be completed without collisions or unnecessary stops at conflict points. The framework has undergone rigorous design and analysis, addressing both intersection-level and network-level implementations. RC marks a significant departure from traditional traffic management by transforming the current decentralized self-organized traffic systems into more structured and dynamically regulated systems. This shift represents a groundbreaking approach to managing traffic at the system level, offering a new school of thoughts for large-scale agent coordination.
Key materials on RC are provided below.
Rhythmic Control: Youtube Video (by Dr. Yafeng Yin)
We also have a book draft of RC (in Chinese) that is in press.
Orchestrated Transportation
Connectivity and automation are poised to transform transportation systems into more regularized and schedulized frameworks, as exemplified by the concept of Rhythmic Control (RC). Building on this foundation, we propose that future transportation systems should be "orchestrated" to maximize overall efficiency. Such an orchestrated system would seamlessly coordinate vehicle movements, human behaviors, and the allocation and matching of resources among participants within the system. My research focuses on addressing key questions critical to this vision: 1) Theoretical analysis for the benefits of system-level orchestration; 2) Performance evaluations of orchestrated transportation systems; 3) Development of effective mechanisms for managing participants behaviors; and 4) Exploration of implementation challenges and solutions for orchestrated systems in real-world scenarios.
Materials on this aspect will be available upon request.
Descriptive and Prescriptive Analysis of Complex Transportation Systems
Descriptive and Prescriptive Analysis of Complex Transportation Systems
With advancements in communication, data, and AI technologies, the modeling and analysis of transportation systems are undergoing a gradual transformation. Unlike fields such as computer vision or natural language processing, the transportation domain faces significant challenges due to limited and underrepresented data availability. Addressing these challenges requires a thoughtful integration of domain expertise, data engineering, machine learning, and decision-making techniques. My research in this area spans a range of topics, including traffic data estimation and imputation, predicting future traffic dynamics, and data-driven decision-making for large-scale transportation systems.
Some materials on this direction are provided below.
In addition to the three major research directions mentioned above, I have coauthored many papers on a variety of topics in transportation research. Below are a few selected works that I believe are worth highlighting. I welcome any suggestions or feedback—feel free to reach out.
On the Efficiency Impacts of Berthing Priority Provision. This paper quantitatively examined how the berthing priority provision may compromise the effectiveness of port operations.
On the Efficiency Impacts of Berthing Priority Provision. This paper quantitatively examined how the berthing priority provision may compromise the effectiveness of port operations.
Bunching-Proof Capabilities of Modular Buses: An Analytical Assessment. This paper provides an analytical exploration of the potential of modular vehicles in mitigating bus bunching. The key finding is that modular buses possess a notable ability to counteract the worsening effects of the bus bunching phenomenon.
Bunching-Proof Capabilities of Modular Buses: An Analytical Assessment. This paper provides an analytical exploration of the potential of modular vehicles in mitigating bus bunching. The key finding is that modular buses possess a notable ability to counteract the worsening effects of the bus bunching phenomenon.
A Nearly Throughput-Maximum Knotted Intersection Design and Control for Connected and Automated Vehicles. This paper proposes a novel intersection design that can support a more fine-grained control that has the potential of nearly maximize intersection throughput (which is above the ability of traffic lights).
A Nearly Throughput-Maximum Knotted Intersection Design and Control for Connected and Automated Vehicles. This paper proposes a novel intersection design that can support a more fine-grained control that has the potential of nearly maximize intersection throughput (which is above the ability of traffic lights).
Ventral Hippocampal CA1 Modulates Pain Behaviors in Mice with Peripheral Inflammation. This is my sole publication in biological science, focusing on the experimental analysis of how a specific brain region responds to certain external stimuli. I contributed in data analysis, but to be honest I do not know many professional terminologies in this paper.
Ventral Hippocampal CA1 Modulates Pain Behaviors in Mice with Peripheral Inflammation. This is my sole publication in biological science, focusing on the experimental analysis of how a specific brain region responds to certain external stimuli. I contributed in data analysis, but to be honest I do not know many professional terminologies in this paper.
Credit-Based Mobility Management Considering Travelers’ Budgeting Behaviors Under Uncertainty. This paper develops a multi-stage stochastic equilibrium model to analyze the budgeting behaviors of travelers on their limited travel permits. One core finding is that stochasticity may contribute to the time-varying car travel within a managing cycle.
Credit-Based Mobility Management Considering Travelers’ Budgeting Behaviors Under Uncertainty. This paper develops a multi-stage stochastic equilibrium model to analyze the budgeting behaviors of travelers on their limited travel permits. One core finding is that stochasticity may contribute to the time-varying car travel within a managing cycle.
Time-dependent On-street Parking Planning in a Connected and Automated Environment. This paper proposes and examines an idea in the CAV era that the road can flexibly switch between vehicle passing and on-street parking.
Time-dependent On-street Parking Planning in a Connected and Automated Environment. This paper proposes and examines an idea in the CAV era that the road can flexibly switch between vehicle passing and on-street parking.
The Online Integration of Competitive On-Demand Service Markets. This paper models and analyzes the final landscape of a higher-level integrating platform when there exists multiple on-demand ride service providers.
The Online Integration of Competitive On-Demand Service Markets. This paper models and analyzes the final landscape of a higher-level integrating platform when there exists multiple on-demand ride service providers.
Efficiency and Interventions of Strategic Driver Relocation for Ride-Hailing Platforms. This paper proposes a dynamic equilibrium model for ride-hailing markets. Specifically, we derived the first tight price of anarchy (PoA) for the on-demand ride services in a dynamic setting.
Efficiency and Interventions of Strategic Driver Relocation for Ride-Hailing Platforms. This paper proposes a dynamic equilibrium model for ride-hailing markets. Specifically, we derived the first tight price of anarchy (PoA) for the on-demand ride services in a dynamic setting.
Modeling and control of automated vehicle access on dedicated bus rapid transit lanes. This paper explores the concept of granting non-conflicting right-of-way to Connected and Automated Vehicles (CAVs) from dedicated bus lanes, ensuring no disruption to bus schedules.
Modeling and control of automated vehicle access on dedicated bus rapid transit lanes. This paper explores the concept of granting non-conflicting right-of-way to Connected and Automated Vehicles (CAVs) from dedicated bus lanes, ensuring no disruption to bus schedules.
On the Existence of System-Optimum–Inducing Tolling Functions for Transportation Networks. This is an old work on classical network modeling. It demonstrates that we generally cannot design an attribute-based toll for achieving system optimum.
On the Existence of System-Optimum–Inducing Tolling Functions for Transportation Networks. This is an old work on classical network modeling. It demonstrates that we generally cannot design an attribute-based toll for achieving system optimum.
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