CESS Seminar : Multi-scale highway traffic flow modeling and analysis
Abstract
In this talk, we will introduce the concept of self-consistency in macro and micro traffic flow modeling and analysis. First, we will introduce a new s-shaped three-parameter (S3) traffic flow model, which could maintain the consistency between the fundamental diagram (FD) model and the car-following model. Second, we will extend the deterministic FD to stochastic fundamental diagrams (SFDs) and introduce an analytical and quantitative method for analyzing traffic state variations. We investigated the scattering effect in the FD and proposed two SFD models with lognormal and skew-normal distributions to explain the variations in traffic states. Finally, the different calibration approaches at the macro and micro levels may lead to misaligned parameters with identical practical meanings in both macro and micro traffic models. This inconsistency arises from the difference between the parameter calibration processes used in macro and micro traffic flow models. Hence, we proposed an integrated multiresolution traffic flow modeling framework using the same trajectory data for parameter calibration based on the self-consistency concept. We conducted experiments using real-world and synthetic trajectory data to validate our self-consistent calibration framework.
Short bio
Dr Qixiu Cheng is a Lecturer at the University of Bristol Business School. He received his Ph.D. degree in transportation engineering from Southeast University, Nanjing, China in 2021. Before his current position, he was a Postdoctoral Fellow and then promoted to a Research Assistant Professor at The Hong Kong Polytechnic University from 2021 to 2023. His research interests include transport network modeling and optimization, micro and macro traffic flow theory, and transport big data analytics and urban informatics. His work has been published in Transportation Research Part B/C/E, European Journal of Operational Research, IEEE Transactions on Intelligent Transportation Systems, Computers & Operations Research, and Expert Systems with Applications.
Sandwiches are offered at the end of the seminar.
In this talk, we will introduce the concept of self-consistency in macro and micro traffic flow modeling and analysis. First, we will introduce a new s-shaped three-parameter (S3) traffic flow model, which could maintain the consistency between the fundamental diagram (FD) model and the car-following model. Second, we will extend the deterministic FD to stochastic fundamental diagrams (SFDs) and introduce an analytical and quantitative method for analyzing traffic state variations. We investigated the scattering effect in the FD and proposed two SFD models with lognormal and skew-normal distributions to explain the variations in traffic states. Finally, the different calibration approaches at the macro and micro levels may lead to misaligned parameters with identical practical meanings in both macro and micro traffic models. This inconsistency arises from the difference between the parameter calibration processes used in macro and micro traffic flow models. Hence, we proposed an integrated multiresolution traffic flow modeling framework using the same trajectory data for parameter calibration based on the self-consistency concept. We conducted experiments using real-world and synthetic trajectory data to validate our self-consistent calibration framework.
Short bio
Dr Qixiu Cheng is a Lecturer at the University of Bristol Business School. He received his Ph.D. degree in transportation engineering from Southeast University, Nanjing, China in 2021. Before his current position, he was a Postdoctoral Fellow and then promoted to a Research Assistant Professor at The Hong Kong Polytechnic University from 2021 to 2023. His research interests include transport network modeling and optimization, micro and macro traffic flow theory, and transport big data analytics and urban informatics. His work has been published in Transportation Research Part B/C/E, European Journal of Operational Research, IEEE Transactions on Intelligent Transportation Systems, Computers & Operations Research, and Expert Systems with Applications.
Sandwiches are offered at the end of the seminar.
Practical information
- Informed public
- Free
Organizer
- Prof. Olga Fink (IMOS), Prof. Alexandre Alahi (VITA), Prof. Dusan Licina (HOBEL), Prof. Alain Nussbaumer (RESSLab)
Contact
- Prof. Kenan Zhang