Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309651772> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W4309651772 abstract "With increasing connectivity and autonomy in traffic eco-systems, Autonomous Intersection Management (AIM) has attracted strong attention from the research community. AIM helps optimize traffic by coordinating the trajectory of connected vehicles around intersections. Most of the existing AIM solutions are developed for single-objective optimization problems that are focused on improving traffic flow. A complete AIM solution needs to perform bi-objective optimization that considers both traffic flow and safety. However, the computational complexity for achieving both objectives is significantly high with the existing solutions, especially when traffic demand is stochastic. We address the limitations of the existing solutions using deep reinforcement learning (deep RL) that helps solve complex problems efficiently. Our solution uses two types of RL agents. The first type is intersection-level agents, which generate theoretically sound trajectory plans for individual vehicles approaching intersections. The second type is vehicle-level agents that control vehicles' actual trajectories around the intersections based on the plans. Both agents incorporate traffic flow and safety constraints into their decision making. Our experimental results show that our solution achieves a high safety level with a minimum impact on travel time." @default.
- W4309651772 created "2022-11-29" @default.
- W4309651772 creator A5021381399 @default.
- W4309651772 creator A5035347745 @default.
- W4309651772 creator A5045003326 @default.
- W4309651772 creator A5056381348 @default.
- W4309651772 creator A5085625646 @default.
- W4309651772 date "2022-11-01" @default.
- W4309651772 modified "2023-09-27" @default.
- W4309651772 title "Concurrent optimization of safety and traffic flow using deep reinforcement learning for autonomous intersection management" @default.
- W4309651772 cites W1470377755 @default.
- W4309651772 cites W2080782477 @default.
- W4309651772 cites W2085865324 @default.
- W4309651772 cites W2199318833 @default.
- W4309651772 cites W2559878382 @default.
- W4309651772 cites W2571108546 @default.
- W4309651772 cites W2802370418 @default.
- W4309651772 cites W2963625099 @default.
- W4309651772 cites W2963756241 @default.
- W4309651772 cites W3003939524 @default.
- W4309651772 cites W3080552220 @default.
- W4309651772 cites W3090027660 @default.
- W4309651772 cites W3104790740 @default.
- W4309651772 cites W3123082711 @default.
- W4309651772 cites W3198991387 @default.
- W4309651772 cites W3214877964 @default.
- W4309651772 cites W4288072843 @default.
- W4309651772 doi "https://doi.org/10.1145/3557915.3561018" @default.
- W4309651772 hasPublicationYear "2022" @default.
- W4309651772 type Work @default.
- W4309651772 citedByCount "2" @default.
- W4309651772 countsByYear W43096517722022 @default.
- W4309651772 crossrefType "proceedings-article" @default.
- W4309651772 hasAuthorship W4309651772A5021381399 @default.
- W4309651772 hasAuthorship W4309651772A5035347745 @default.
- W4309651772 hasAuthorship W4309651772A5045003326 @default.
- W4309651772 hasAuthorship W4309651772A5056381348 @default.
- W4309651772 hasAuthorship W4309651772A5085625646 @default.
- W4309651772 hasConcept C120314980 @default.
- W4309651772 hasConcept C121332964 @default.
- W4309651772 hasConcept C126255220 @default.
- W4309651772 hasConcept C127413603 @default.
- W4309651772 hasConcept C1276947 @default.
- W4309651772 hasConcept C13662910 @default.
- W4309651772 hasConcept C154945302 @default.
- W4309651772 hasConcept C207512268 @default.
- W4309651772 hasConcept C22212356 @default.
- W4309651772 hasConcept C31258907 @default.
- W4309651772 hasConcept C33923547 @default.
- W4309651772 hasConcept C41008148 @default.
- W4309651772 hasConcept C42475967 @default.
- W4309651772 hasConcept C64543145 @default.
- W4309651772 hasConcept C97541855 @default.
- W4309651772 hasConceptScore W4309651772C120314980 @default.
- W4309651772 hasConceptScore W4309651772C121332964 @default.
- W4309651772 hasConceptScore W4309651772C126255220 @default.
- W4309651772 hasConceptScore W4309651772C127413603 @default.
- W4309651772 hasConceptScore W4309651772C1276947 @default.
- W4309651772 hasConceptScore W4309651772C13662910 @default.
- W4309651772 hasConceptScore W4309651772C154945302 @default.
- W4309651772 hasConceptScore W4309651772C207512268 @default.
- W4309651772 hasConceptScore W4309651772C22212356 @default.
- W4309651772 hasConceptScore W4309651772C31258907 @default.
- W4309651772 hasConceptScore W4309651772C33923547 @default.
- W4309651772 hasConceptScore W4309651772C41008148 @default.
- W4309651772 hasConceptScore W4309651772C42475967 @default.
- W4309651772 hasConceptScore W4309651772C64543145 @default.
- W4309651772 hasConceptScore W4309651772C97541855 @default.
- W4309651772 hasLocation W43096517721 @default.
- W4309651772 hasOpenAccess W4309651772 @default.
- W4309651772 hasPrimaryLocation W43096517721 @default.
- W4309651772 hasRelatedWork W2030484423 @default.
- W4309651772 hasRelatedWork W2087570234 @default.
- W4309651772 hasRelatedWork W2393134288 @default.
- W4309651772 hasRelatedWork W2795278376 @default.
- W4309651772 hasRelatedWork W2893815390 @default.
- W4309651772 hasRelatedWork W2986348191 @default.
- W4309651772 hasRelatedWork W3040229530 @default.
- W4309651772 hasRelatedWork W3150112440 @default.
- W4309651772 hasRelatedWork W4297983614 @default.
- W4309651772 hasRelatedWork W2803041665 @default.
- W4309651772 isParatext "false" @default.
- W4309651772 isRetracted "false" @default.
- W4309651772 workType "article" @default.