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TZID:Asia/Seoul
X-LIC-LOCATION:Asia/Seoul
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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035306Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_372@linklings.com
SUMMARY:Differentiable Hybrid Traffic Simulation
DESCRIPTION:Technical Papers\n\nDifferentiable Hybrid Traffic Simulation\n
 \nSon, Qiao, Sewall, Lin\n\nWe introduce a novel differentiable hybrid tra
 ffic simulator, which simulates traffic using a hybrid model of both macro
 scopic and microscopic models and can be directly integrated into a neural
  network for traffic control and flow optimization. This is the first diff
 erentiable traffic simulator for macroscopic and hybrid models that can co
 mpute gradients for traffic states across time steps and inhomogeneous lan
 es. To compute the gradient flow between two types of traffic models in a 
 hybrid framework, we present a novel intermediate conversion component tha
 t bridges the lanes in a differentiable manner as well. We also show that 
 we can use analytical gradients to accelerate the overall process and enha
 nce scalability. Thanks to these gradients, our simulator can provide more
  efficient and scalable solutions for complex learning and control problem
 s posed in the traffic engineering than other existing algorithms.\n\nRegi
 stration Category: FULL ACCESS, EXPERIENCE PLUS ACCESS, EXPERIENCE ACCESS,
  TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_372&sess=sess15
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