FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3022749764> ?p ?o ?g. }

• W3022749764 endingPage "4695" @default.
• W3022749764 startingPage "4684" @default.
• W3022749764 abstract "The study aims to evaluate the performance of the transfer learning algorithm to enhance the transferability of a deep reinforcement learning-based variable speed limits (VSL) control. The Double Deep Q Network (DDQN)-based VSL control strategy is proposed for reducing total time spent (TTS) on freeways. A real merging bottleneck is developed in the simulation and considered for the VSL control as the source scenario. Three types of target scenarios are considered, including the overspeed scenarios, adverse weather scenarios, and diverse capacity drop scenarios. A stable testing demand and a fluctuating testing demand are adopted to evaluate the effects of VSL control. The results show that by updating the neural networks, the transfer learning in the DDQN-based VSL control agent successfully transfers knowledge learned in the source scenario to other target scenarios. With the transfer learning, the entire training process is shortened by 32.3% to 69.8%, while keeping a similar maximum reward level, as compared to the VSL control with full learning from scratch. With the transferred DDQN-based VSL strategy, the TTS is reduced by 26.02% to 67.37% with the stable testing demand and 21.31% to 69.98% with the fluctuating testing demand in various scenarios, respectively. The results also show that when the task similarity between the source scenario and target scenario is relatively low, the transfer learning could lead to local optimum and may not achieve the global optimal control effects." @default.
• W3022749764 created "2020-05-13" @default.
• W3022749764 creator A5007077356 @default.
• W3022749764 creator A5021393404 @default.
• W3022749764 creator A5030124388 @default.
• W3022749764 date "2021-07-01" @default.
• W3022749764 modified "2023-09-24" @default.
• W3022749764 title "Enhancing Transferability of Deep Reinforcement Learning-Based Variable Speed Limit Control Using Transfer Learning" @default.
• W3022749764 cites W1533597678 @default.
• W3022749764 cites W1600175910 @default.
• W3022749764 cites W1813466531 @default.
• W3022749764 cites W1908672095 @default.
• W3022749764 cites W1971220135 @default.
• W3022749764 cites W1994722092 @default.
• W3022749764 cites W2006847426 @default.
• W3022749764 cites W2015381051 @default.
• W3022749764 cites W2022689755 @default.
• W3022749764 cites W2036271427 @default.
• W3022749764 cites W2037141248 @default.
• W3022749764 cites W2064295811 @default.
• W3022749764 cites W2065139931 @default.
• W3022749764 cites W2095688494 @default.
• W3022749764 cites W2099304584 @default.
• W3022749764 cites W2102650063 @default.
• W3022749764 cites W2106355821 @default.
• W3022749764 cites W2106356011 @default.
• W3022749764 cites W2122723644 @default.
• W3022749764 cites W2125624525 @default.
• W3022749764 cites W2140722533 @default.
• W3022749764 cites W2145339207 @default.
• W3022749764 cites W2154328025 @default.
• W3022749764 cites W2164114810 @default.
• W3022749764 cites W2165698076 @default.
• W3022749764 cites W2173875951 @default.
• W3022749764 cites W2277961080 @default.
• W3022749764 cites W2343347329 @default.
• W3022749764 cites W2493238663 @default.
• W3022749764 cites W2548722511 @default.
• W3022749764 cites W2567867736 @default.
• W3022749764 cites W2569340515 @default.
• W3022749764 cites W2583813242 @default.
• W3022749764 cites W2590522112 @default.
• W3022749764 cites W2593140559 @default.
• W3022749764 cites W2602646020 @default.
• W3022749764 cites W2624924877 @default.
• W3022749764 cites W2740804105 @default.
• W3022749764 cites W2760528449 @default.
• W3022749764 cites W2904466241 @default.
• W3022749764 cites W3125725535 @default.
• W3022749764 cites W4243061459 @default.
• W3022749764 doi "https://doi.org/10.1109/tits.2020.2990598" @default.
• W3022749764 hasPublicationYear "2021" @default.
• W3022749764 type Work @default.
• W3022749764 sameAs 3022749764 @default.
• W3022749764 citedByCount "13" @default.
• W3022749764 countsByYear W30227497642020 @default.
• W3022749764 countsByYear W30227497642021 @default.
• W3022749764 countsByYear W30227497642022 @default.
• W3022749764 countsByYear W30227497642023 @default.
• W3022749764 crossrefType "journal-article" @default.
• W3022749764 hasAuthorship W3022749764A5007077356 @default.
• W3022749764 hasAuthorship W3022749764A5021393404 @default.
• W3022749764 hasAuthorship W3022749764A5030124388 @default.
• W3022749764 hasBestOaLocation W30227497642 @default.
• W3022749764 hasConcept C111919701 @default.
• W3022749764 hasConcept C119857082 @default.
• W3022749764 hasConcept C127413603 @default.
• W3022749764 hasConcept C149635348 @default.
• W3022749764 hasConcept C150899416 @default.
• W3022749764 hasConcept C154945302 @default.
• W3022749764 hasConcept C2775924081 @default.
• W3022749764 hasConcept C2780513914 @default.
• W3022749764 hasConcept C41008148 @default.
• W3022749764 hasConcept C44154836 @default.
• W3022749764 hasConcept C50644808 @default.
• W3022749764 hasConcept C97541855 @default.
• W3022749764 hasConcept C98045186 @default.
• W3022749764 hasConceptScore W3022749764C111919701 @default.
• W3022749764 hasConceptScore W3022749764C119857082 @default.
• W3022749764 hasConceptScore W3022749764C127413603 @default.
• W3022749764 hasConceptScore W3022749764C149635348 @default.
• W3022749764 hasConceptScore W3022749764C150899416 @default.
• W3022749764 hasConceptScore W3022749764C154945302 @default.
• W3022749764 hasConceptScore W3022749764C2775924081 @default.
• W3022749764 hasConceptScore W3022749764C2780513914 @default.
• W3022749764 hasConceptScore W3022749764C41008148 @default.
• W3022749764 hasConceptScore W3022749764C44154836 @default.
• W3022749764 hasConceptScore W3022749764C50644808 @default.
• W3022749764 hasConceptScore W3022749764C97541855 @default.
• W3022749764 hasConceptScore W3022749764C98045186 @default.
• W3022749764 hasFunder F4320321001 @default.
• W3022749764 hasFunder F4320324856 @default.
• W3022749764 hasFunder F4320335787 @default.
• W3022749764 hasIssue "7" @default.
• W3022749764 hasLocation W30227497641 @default.
• W3022749764 hasLocation W30227497642 @default.
• W3022749764 hasOpenAccess W3022749764 @default.
• W3022749764 hasPrimaryLocation W30227497641 @default.

• next