Matches in SemOpenAlex for { <https://semopenalex.org/work/W2754923067> ?p ?o ?g. }
- W2754923067 endingPage "836" @default.
- W2754923067 startingPage "828" @default.
- W2754923067 abstract "Connected and autonomous vehicle technology has advanced rapidly in recent years. These technologies create possibilities for advanced AI-based traffic management techniques. Developing such techniques is an important challenge and opportunity for the AI community as it requires synergy between experts in game theory, multiagent systems, behavioral science, and flow optimization. This paper takes a step in this direction by considering traffic flow optimization through setting and broadcasting of dynamic and adaptive tolls. Previous tolling schemes either were not adaptive in realtime, not scalable to large networks, or did not optimize traffic flow over an entire network. Moreover, previous schemes made strong assumptions on observable demands, road capacities and users homogeneity. This paper introduces △-tolling, a novel tolling scheme that is adaptive in real-time and able to scale to large networks. We provide theoretical evidence showing that under certain assumptions △-tolling is equal to Marginal-Cost Tolling, which provably leads to system-optimal, and empirical evidence showing that △-tolling increases social welfare (by up to 33%) in two traffic simulators with markedly different modeling assumptions." @default.
- W2754923067 created "2017-09-25" @default.
- W2754923067 creator A5000409322 @default.
- W2754923067 creator A5001594330 @default.
- W2754923067 creator A5008014974 @default.
- W2754923067 creator A5027788495 @default.
- W2754923067 creator A5039211301 @default.
- W2754923067 creator A5041284168 @default.
- W2754923067 creator A5088017068 @default.
- W2754923067 date "2017-05-08" @default.
- W2754923067 modified "2023-09-24" @default.
- W2754923067 title "Real-time Adaptive Tolling Scheme for Optimized Social Welfare in Traffic Networks" @default.
- W2754923067 cites W112137371 @default.
- W2754923067 cites W146964248 @default.
- W2754923067 cites W1532791662 @default.
- W2754923067 cites W1578548346 @default.
- W2754923067 cites W1579344322 @default.
- W2754923067 cites W170974421 @default.
- W2754923067 cites W1766637835 @default.
- W2754923067 cites W1967072265 @default.
- W2754923067 cites W1969428227 @default.
- W2754923067 cites W1987532544 @default.
- W2754923067 cites W1989381211 @default.
- W2754923067 cites W1990031096 @default.
- W2754923067 cites W1993286459 @default.
- W2754923067 cites W2003912133 @default.
- W2754923067 cites W2023012654 @default.
- W2754923067 cites W2024565784 @default.
- W2754923067 cites W2031628893 @default.
- W2754923067 cites W2032549372 @default.
- W2754923067 cites W2037141248 @default.
- W2754923067 cites W2037593548 @default.
- W2754923067 cites W2038691660 @default.
- W2754923067 cites W2049762605 @default.
- W2754923067 cites W2052747847 @default.
- W2754923067 cites W2053806224 @default.
- W2754923067 cites W2060319298 @default.
- W2754923067 cites W2063932215 @default.
- W2754923067 cites W2067579948 @default.
- W2754923067 cites W2067933667 @default.
- W2754923067 cites W2080518582 @default.
- W2754923067 cites W2086656475 @default.
- W2754923067 cites W2089350531 @default.
- W2754923067 cites W2091677260 @default.
- W2754923067 cites W2093921901 @default.
- W2754923067 cites W2095797625 @default.
- W2754923067 cites W2137514195 @default.
- W2754923067 cites W2147065425 @default.
- W2754923067 cites W2168872651 @default.
- W2754923067 cites W2576072794 @default.
- W2754923067 cites W2577009840 @default.
- W2754923067 cites W2778033595 @default.
- W2754923067 cites W2797415156 @default.
- W2754923067 cites W560574324 @default.
- W2754923067 cites W573924038 @default.
- W2754923067 cites W915105922 @default.
- W2754923067 doi "https://doi.org/10.5555/3091125.3125636" @default.
- W2754923067 hasPublicationYear "2017" @default.
- W2754923067 type Work @default.
- W2754923067 sameAs 2754923067 @default.
- W2754923067 citedByCount "6" @default.
- W2754923067 countsByYear W27549230672018 @default.
- W2754923067 countsByYear W27549230672019 @default.
- W2754923067 countsByYear W27549230672020 @default.
- W2754923067 countsByYear W27549230672021 @default.
- W2754923067 crossrefType "proceedings-article" @default.
- W2754923067 hasAuthorship W2754923067A5000409322 @default.
- W2754923067 hasAuthorship W2754923067A5001594330 @default.
- W2754923067 hasAuthorship W2754923067A5008014974 @default.
- W2754923067 hasAuthorship W2754923067A5027788495 @default.
- W2754923067 hasAuthorship W2754923067A5039211301 @default.
- W2754923067 hasAuthorship W2754923067A5041284168 @default.
- W2754923067 hasAuthorship W2754923067A5088017068 @default.
- W2754923067 hasConcept C120314980 @default.
- W2754923067 hasConcept C126255220 @default.
- W2754923067 hasConcept C134306372 @default.
- W2754923067 hasConcept C207512268 @default.
- W2754923067 hasConcept C31258907 @default.
- W2754923067 hasConcept C33923547 @default.
- W2754923067 hasConcept C41008148 @default.
- W2754923067 hasConcept C48044578 @default.
- W2754923067 hasConcept C77088390 @default.
- W2754923067 hasConcept C77618280 @default.
- W2754923067 hasConceptScore W2754923067C120314980 @default.
- W2754923067 hasConceptScore W2754923067C126255220 @default.
- W2754923067 hasConceptScore W2754923067C134306372 @default.
- W2754923067 hasConceptScore W2754923067C207512268 @default.
- W2754923067 hasConceptScore W2754923067C31258907 @default.
- W2754923067 hasConceptScore W2754923067C33923547 @default.
- W2754923067 hasConceptScore W2754923067C41008148 @default.
- W2754923067 hasConceptScore W2754923067C48044578 @default.
- W2754923067 hasConceptScore W2754923067C77088390 @default.
- W2754923067 hasConceptScore W2754923067C77618280 @default.
- W2754923067 hasLocation W27549230671 @default.
- W2754923067 hasOpenAccess W2754923067 @default.
- W2754923067 hasPrimaryLocation W27549230671 @default.
- W2754923067 hasRelatedWork W1499828403 @default.
- W2754923067 hasRelatedWork W1579344322 @default.