Huan Yu – författare

Visar alla böcker från författaren Huan Yu. Handla med fri frakt och snabb leverans.

8 produkter

Kategorier

8 produkter

Sharing the Road
Understanding and Facilitating Mixed Traffic with Human-Driven and Autonomous Vehicles
AvDengbo He,Xiaotong Sunm. fl.
Inbunden, Engelska, 2025
1 487 kr
Skickas inom 10-15 vardagar
With the advancements in sensor and computation technologies, connected autonomous vehicle (CAV) services are being tested and deployed on public roads, sharing the road with human- driven vehicles (HVs). This brings challenges to traffic safety, due to uncertainty in HVs behaviors. To address these challenges, Sharing the Road offers solutions to create a safer world where HVs and AVs mix freely on our roads.Presented from a team of researchers from different domains offering varying perspectives, this book systematically summarizes the issues and trends of mixed traffic, from the micro (such as vehicle algorithm design) to the macro (including traffic flow optimization and policy) perspectives. Customized car- following models describing the behaviors of HVs when interacting with CAVs and control algorithms optimizing the traffic flow in terms of traffic safety and efficiency are discussed. The title also summarizes approaches to model HVs’ behaviors and case studies of real-life examples are provided, leaving the reader with a detailed vision of the future of a mixed- traffic world.This title will appeal to professionals at any career stage in the fields of human factor engineering, traffic engineering, urban design, and vehicle engineering.
Nyhet
Sharing the Road
Understanding and Facilitating Mixed Traffic with Human-Driven and Autonomous Vehicles
AvDengbo He,Xiaotong Sunm. fl.
Häftad, Engelska, 2026
804 kr
Skickas inom 10-15 vardagar
With the advancements in sensor and computation technologies, connected autonomous vehicle (CAV) services are being tested and deployed on public roads, sharing the road with human- driven vehicles (HVs). This brings challenges to traffic safety, due to uncertainty in HVs behaviors. To address these challenges, Sharing the Road offers solutions to create a safer world where HVs and AVs mix freely on our roads.Presented from a team of researchers from different domains offering varying perspectives, this book systematically summarizes the issues and trends of mixed traffic, from the micro (such as vehicle algorithm design) to the macro (including traffic flow optimization and policy) perspectives. Customized car- following models describing the behaviors of HVs when interacting with CAVs and control algorithms optimizing the traffic flow in terms of traffic safety and efficiency are discussed. The title also summarizes approaches to model HVs’ behaviors and case studies of real-life examples are provided, leaving the reader with a detailed vision of the future of a mixed- traffic world.This title will appeal to professionals at any career stage in the fields of human factor engineering, traffic engineering, urban design, and vehicle engineering.
Sharing the Road
Understanding and Facilitating Mixed Traffic with Human-Driven and Autonomous Vehicles
AvHuan Yu,Xiaotong Sunm. fl.
E-bok
PDF, Engelska, 2025
1 542 kr
Läs direkt efter köp
With the advancements in sensor and computation technologies, connected autonomous vehicle (CAV) services are being tested and deployed on public roads, sharing the road with human- driven vehicles (HVs). This brings challenges to traffic safety, due to uncertainty in HVs behaviors. To address these challenges, Sharing the Road offers solutions to create a safer world where HVs and AVs mix freely on our roads.
Presented from a team of researchers from different domains offering varying perspectives, this book systematically summarizes the issues and trends of mixed traffic, from the micro (such as vehicle algorithm design) to the macro (including traffic flow optimization and policy) perspectives. Customized car- following models describing the behaviors of HVs when interacting with CAVs and control algorithms optimizing the traffic flow in terms of traffic safety and efficiency are discussed. The title also summarizes approaches to model HVs’ behaviors and case studies of real-life examples are provided, leaving the reader with a detailed vision of the future of a mixed- traffic world.
This title will appeal to professionals at any career stage in the fields of human factor engineering, traffic engineering, urban design, and vehicle engineering.
Sharing the Road
Understanding and Facilitating Mixed Traffic with Human-Driven and Autonomous Vehicles
AvHuan Yu,Xiaotong Sunm. fl.
E-bok
Engelska, 2025
1 526 kr
Läs direkt efter köp
With the advancements in sensor and computation technologies, connected autonomous vehicle (CAV) services are being tested and deployed on public roads, sharing the road with human- driven vehicles (HVs). This brings challenges to traffic safety, due to uncertainty in HVs behaviors. To address these challenges, Sharing the Road offers solutions to create a safer world where HVs and AVs mix freely on our roads.
Presented from a team of researchers from different domains offering varying perspectives, this book systematically summarizes the issues and trends of mixed traffic, from the micro (such as vehicle algorithm design) to the macro (including traffic flow optimization and policy) perspectives. Customized car- following models describing the behaviors of HVs when interacting with CAVs and control algorithms optimizing the traffic flow in terms of traffic safety and efficiency are discussed. The title also summarizes approaches to model HVs’ behaviors and case studies of real-life examples are provided, leaving the reader with a detailed vision of the future of a mixed- traffic world.
This title will appeal to professionals at any career stage in the fields of human factor engineering, traffic engineering, urban design, and vehicle engineering.
Traffic Congestion Control by PDE Backstepping
AvHuan Yu,Miroslav Krstic
Inbunden, Engelska, 2022
1 549 kr
Skickas inom 10-15 vardagar
This monograph explores the design of controllers that suppress oscillations and instabilities in congested traffic flow using PDE backstepping methods. The first part of the text is concerned with basic backstepping control of freeway traffic using the Aw-Rascle-Zhang (ARZ) second-order PDE model. It begins by illustrating a basic control problem – suppressing traffic with stop-and-go oscillations downstream of ramp metering – before turning to the more challenging case for traffic upstream of ramp metering. The authors demonstrate how to design state observers for the purpose of stabilization using output-feedback control. Experimental traffic data are then used to calibrate the ARZ model and validate the boundary observer design. Because large uncertainties may arise in traffic models, adaptive control and reinforcement learning methods are also explored in detail. Part II then extends the conventional ARZ model utilized until this point in orderto address more complex traffic conditions: multi-lane traffic, multi-class traffic, networks of freeway segments, and driver use of routing apps. The final chapters demonstrate the use of the Lighthill-Whitham-Richards (LWR) first-order PDE model to regulate congestion in traffic flows and to optimize flow through a bottleneck. In order to make the text self-contained, an introduction to the PDE backstepping method for systems of coupled first-order hyperbolic PDEs is included. Traffic Congestion Control by PDE Backstepping is ideal for control theorists working on control of systems modeled by PDEs and for traffic engineers and applied scientists working on unsteady traffic flows. It will also be a valuable resource for researchers interested in boundary control of coupled systems of first-order hyperbolic PDEs.
Traffic Congestion Control by PDE Backstepping
AvMiroslav Krstic,Huan Yu
E-bok
Engelska, 2022
1 913 kr
Läs direkt efter köp
This monograph explores the design of controllers that suppress oscillations and instabilities in congested traffic flow using PDE backstepping methods. The first part of the text is concerned with basic backstepping control of freeway traffic using the Aw-Rascle-Zhang (ARZ) second-order PDE model. It begins by illustrating a basic control problem – suppressing traffic with stop-and-go oscillations downstream of ramp metering – before turning to the more challenging case for traffic upstream of ramp metering. The authors demonstrate how to design state observers for the purpose of stabilization using output-feedback control. Experimental traffic data are then used to calibrate the ARZ model and validate the boundary observer design. Because large uncertainties may arise in traffic models, adaptive control and reinforcement learning methods are also explored in detail. Part II then extends the conventional ARZ model utilized until this point in orderto address more complex traffic conditions: multi-lane traffic, multi-class traffic, networks of freeway segments, and driver use of routing apps. The final chapters demonstrate the use of the Lighthill-Whitham-Richards (LWR) first-order PDE model to regulate congestion in traffic flows and to optimize flow through a bottleneck. In order to make the text self-contained, an introduction to the PDE backstepping method for systems of coupled first-order hyperbolic PDEs is included. Traffic Congestion Control by PDE Backstepping is ideal for control theorists working on control of systems modeled by PDEs and for traffic engineers and applied scientists working on unsteady traffic flows. It will also be a valuable resource for researchers interested in boundary control of coupled systems of first-order hyperbolic PDEs.
Traffic Congestion Control by PDE Backstepping
AvHuan Yu,Miroslav Krstic
Engelska, 2022
646 kr
Skickas inom 5-8 vardagar
Traffic Congestion Control by PDE Backstepping
AvHuan Yu,Miroslav Krstic
Häftad, Engelska, 2023
1 549 kr
Skickas inom 10-15 vardagar
This monograph explores the design of controllers that suppress oscillations and instabilities in congested traffic flow using PDE backstepping methods. The first part of the text is concerned with basic backstepping control of freeway traffic using the Aw-Rascle-Zhang (ARZ) second-order PDE model. It begins by illustrating a basic control problem – suppressing traffic with stop-and-go oscillations downstream of ramp metering – before turning to the more challenging case for traffic upstream of ramp metering. The authors demonstrate how to design state observers for the purpose of stabilization using output-feedback control. Experimental traffic data are then used to calibrate the ARZ model and validate the boundary observer design. Because large uncertainties may arise in traffic models, adaptive control and reinforcement learning methods are also explored in detail. Part II then extends the conventional ARZ model utilized until this point in orderto address more complex traffic conditions: multi-lane traffic, multi-class traffic, networks of freeway segments, and driver use of routing apps. The final chapters demonstrate the use of the Lighthill-Whitham-Richards (LWR) first-order PDE model to regulate congestion in traffic flows and to optimize flow through a bottleneck. In order to make the text self-contained, an introduction to the PDE backstepping method for systems of coupled first-order hyperbolic PDEs is included. Traffic Congestion Control by PDE Backstepping is ideal for control theorists working on control of systems modeled by PDEs and for traffic engineers and applied scientists working on unsteady traffic flows. It will also be a valuable resource for researchers interested in boundary control of coupled systems of first-order hyperbolic PDEs.

Företag, bibliotek eller offentlig verksamhet?

Huan Yu – författare

Sharing the Road

Sharing the Road

Sharing the Road

Sharing the Road

Traffic Congestion Control by PDE Backstepping

Traffic Congestion Control by PDE Backstepping

Traffic Congestion Control by PDE Backstepping

Traffic Congestion Control by PDE Backstepping

Mina sidor

Mina sidor

Hjälp

Hjälp

Om Bokus

Om Bokus

Populärt

Populärt

Inspiration

Inspiration