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SUMMARY:CESS Seminar : Multi-scale highway traffic flow modeling and analy
 sis
DTSTART:20240419T121500
DTEND:20240419T131500
DTSTAMP:20260403T214619Z
UID:2f716d173266d9f94aa1eca5a88810ec1bbe3097571df4488e835fe9
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Qixiu Cheng\, University of Bristol Business School\nAbstr
 act\nIn this talk\, we will introduce the concept of self-consistency in m
 acro and micro traffic flow modeling and analysis. First\, we will introdu
 ce a new s-shaped three-parameter (S3) traffic flow model\, which could ma
 intain the consistency between the fundamental diagram (FD) model and the 
 car-following model. Second\, we will extend the deterministic FD to stoch
 astic fundamental diagrams (SFDs) and introduce an analytical and quantita
 tive method for analyzing traffic state variations. We investigated the sc
 attering effect in the FD and proposed two SFD models with lognormal and s
 kew-normal distributions to explain the variations in traffic states. Fina
 lly\, the different calibration approaches at the macro and micro levels m
 ay lead to misaligned parameters with identical practical meanings in both
  macro and micro traffic models. This inconsistency arises from the differ
 ence between the parameter calibration processes used in macro and micro t
 raffic flow models. Hence\, we proposed an integrated multiresolution traf
 fic flow modeling framework using the same trajectory data for parameter c
 alibration based on the self-consistency concept. We conducted experiments
  using real-world and synthetic trajectory data to validate our self-consi
 stent calibration framework.\n\nShort bio\nDr Qixiu Cheng is a Lecturer at
  the University of Bristol Business School. He received his Ph.D. degree i
 n transportation engineering from Southeast University\, Nanjing\, China i
 n 2021. Before his current position\, he was a Postdoctoral Fellow and the
 n promoted to a Research Assistant Professor at The Hong Kong Polytechnic 
 University from 2021 to 2023. His research interests include transport net
 work modeling and optimization\, micro and macro traffic flow theory\, and
  transport big data analytics and urban informatics. His work has been pub
 lished in Transportation Research Part B/C/E\, European Journal of Operati
 onal Research\, IEEE Transactions on Intelligent Transportation Systems\, 
 Computers & Operations Research\, and Expert Systems with Applications.\n\
 nSandwiches are offered at the end of the seminar.\n 
LOCATION:GC B1 10 https://plan.epfl.ch/?room==GC%20B1%2010 https://epfl.zo
 om.us/j/69011796680
STATUS:CONFIRMED
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