Abstract

Diverging junctions are important network bottlenecks, and a better understanding of diverging traffic dynamics has both theoretical and practical implications. In this paper, we present a new framework for constructing kinematic wave solutions to the Riemann problem of kinematic wave models of diverging traffic with jump initial conditions. Within this framework, the function space of weak solutions is enlarged to include interior states that occur with stationary discontinuities, and various discrete flux functions in cell transmission models of diverging traffic are used as entropy conditions to pick out unique physical solutions. Then in demand-supply space, we prove that the Riemann problem can be uniquely solved for existing discrete flux functions, in the sense that stationary states and, therefore, shock or rarefaction waves on all links, can be uniquely determined under given initial conditions. We show that the two diverge models by Lebacque and Daganzo are asymptotically equivalent. We also prove that the supply proportional and priority-based diverge models are locally optimal evacuation strategies. With numerical examples, we demonstrate the validity of the analytical solutions of interior states, stationary states, and corresponding kinematic waves. This study presents a unified framework for analyzing traffic dynamics arising at diverging junctions and could be helpful for developing emergency evacuation strategies.

Highlights

  • Essential to effective and efficient transportation control, management, and planning is a better understanding of the evolution of traffic dynamics on a road network, i.e., the formation, propagation, and dissipation of traffic congestion

  • After deriving admissible solutions for upstream and downstream stationary and interior states, we introduce an entropy condition based on various diverge models

  • We prove that stationary states and boundary fluxes are unique for given upstream demand and downstream supplies

Read more

Summary

Introduction

Essential to effective and efficient transportation control, management, and planning is a better understanding of the evolution of traffic dynamics on a road network, i.e., the formation, propagation, and dissipation of traffic congestion. They do not provide any analytical insights on traffic dynamics at a network intersection as the LWR model In another line, Holden and Risebro (1995) and Coclite et al (2005) attempted to solve a Riemann problem of an intersection with m upstream links and n downstream links. In both of the analytical studies, all links are homogeneous and have the same speed-density relations, and traffic dynamics on each link are described by the LWR model.

An analytical framework
Admissible stationary and interior states
Entropy conditions consistent with discrete diverge models
Summary of the solution framework
Diverge models with predefined turning proportions
Daganzo’s diverge model
II ξ2D0
Lebacque’s diverge model
A supply-proportional evacuation strategy
A priority-based evacuation strategy
A partial evacuation strategy
Numerical examples
Comparison of diverge models by Daganzo and Lebacque
Findings
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.