Matches in SemOpenAlex for { <https://semopenalex.org/work/W3133754928> ?p ?o ?g. }
- W3133754928 endingPage "806" @default.
- W3133754928 startingPage "762" @default.
- W3133754928 abstract "In this paper, we attempt to address the issue of controlling the sensitivity parameters (or control gains) of automated driving vehicles in an open heterogeneous traffic flow system. The automated driving vehicles are supposedly equipped with adaptive cruise control and connectivity while the conventional vehicles are characterized by a stochastic safe time headway. To optimize the sensitivity parameters, the natural policy gradient reinforcement learning algorithm has been used for the best policy search. In this context, two performance indices were considered: the traffic breakdown probability and fuel consumption. After extensive simulations, it is found that the sensitivity parameters should depend on both the flow and the penetration rate for maximum performance. In particular, a low-penetration rate of 5% can improve traffic performance. A comparison with other algorithms suggests that natural policy gradient and Q-learning yield a good approximation and reduce significantly the computational cost." @default.
- W3133754928 created "2021-03-15" @default.
- W3133754928 creator A5014659532 @default.
- W3133754928 creator A5044439714 @default.
- W3133754928 creator A5049135480 @default.
- W3133754928 creator A5082603849 @default.
- W3133754928 creator A5083813855 @default.
- W3133754928 date "2021-03-11" @default.
- W3133754928 modified "2023-09-25" @default.
- W3133754928 title "Optimizing sensitivity parameters of automated driving vehicles in an open heterogeneous traffic flow system" @default.
- W3133754928 cites W1965455100 @default.
- W3133754928 cites W1991813936 @default.
- W3133754928 cites W2014263114 @default.
- W3133754928 cites W2016976804 @default.
- W3133754928 cites W2022081648 @default.
- W3133754928 cites W2022772618 @default.
- W3133754928 cites W2035100294 @default.
- W3133754928 cites W2046482177 @default.
- W3133754928 cites W2067530543 @default.
- W3133754928 cites W2068112398 @default.
- W3133754928 cites W2071432129 @default.
- W3133754928 cites W2082903539 @default.
- W3133754928 cites W2084952317 @default.
- W3133754928 cites W2113741278 @default.
- W3133754928 cites W2119159364 @default.
- W3133754928 cites W2124289529 @default.
- W3133754928 cites W2124723444 @default.
- W3133754928 cites W2125612430 @default.
- W3133754928 cites W2128452997 @default.
- W3133754928 cites W2137505842 @default.
- W3133754928 cites W2146873903 @default.
- W3133754928 cites W2147021187 @default.
- W3133754928 cites W2156528760 @default.
- W3133754928 cites W2171783241 @default.
- W3133754928 cites W2233317523 @default.
- W3133754928 cites W2239001683 @default.
- W3133754928 cites W2487175822 @default.
- W3133754928 cites W2493168586 @default.
- W3133754928 cites W2550645619 @default.
- W3133754928 cites W2566775815 @default.
- W3133754928 cites W2593177387 @default.
- W3133754928 cites W2611350544 @default.
- W3133754928 cites W2738900493 @default.
- W3133754928 cites W2749279126 @default.
- W3133754928 cites W2751800404 @default.
- W3133754928 cites W2766064680 @default.
- W3133754928 cites W2781038188 @default.
- W3133754928 cites W2789441315 @default.
- W3133754928 cites W2796138865 @default.
- W3133754928 cites W2844672055 @default.
- W3133754928 cites W2883529973 @default.
- W3133754928 cites W2885067519 @default.
- W3133754928 cites W2890655496 @default.
- W3133754928 cites W2899072036 @default.
- W3133754928 cites W2904037066 @default.
- W3133754928 cites W2904466241 @default.
- W3133754928 cites W2911302472 @default.
- W3133754928 cites W2921755018 @default.
- W3133754928 cites W2942617107 @default.
- W3133754928 cites W2944618375 @default.
- W3133754928 cites W2945374197 @default.
- W3133754928 cites W2949215367 @default.
- W3133754928 cites W2963165400 @default.
- W3133754928 cites W2969758225 @default.
- W3133754928 cites W2970321255 @default.
- W3133754928 cites W2988595664 @default.
- W3133754928 cites W3048706487 @default.
- W3133754928 cites W3104686156 @default.
- W3133754928 cites W3104790740 @default.
- W3133754928 cites W3105793542 @default.
- W3133754928 cites W3152824450 @default.
- W3133754928 cites W4233640149 @default.
- W3133754928 cites W4247156688 @default.
- W3133754928 doi "https://doi.org/10.1080/23249935.2021.1896592" @default.
- W3133754928 hasPublicationYear "2021" @default.
- W3133754928 type Work @default.
- W3133754928 sameAs 3133754928 @default.
- W3133754928 citedByCount "2" @default.
- W3133754928 countsByYear W31337549282022 @default.
- W3133754928 countsByYear W31337549282023 @default.
- W3133754928 crossrefType "journal-article" @default.
- W3133754928 hasAuthorship W3133754928A5014659532 @default.
- W3133754928 hasAuthorship W3133754928A5044439714 @default.
- W3133754928 hasAuthorship W3133754928A5049135480 @default.
- W3133754928 hasAuthorship W3133754928A5082603849 @default.
- W3133754928 hasAuthorship W3133754928A5083813855 @default.
- W3133754928 hasConcept C113168747 @default.
- W3133754928 hasConcept C127413603 @default.
- W3133754928 hasConcept C151730666 @default.
- W3133754928 hasConcept C154945302 @default.
- W3133754928 hasConcept C171146098 @default.
- W3133754928 hasConcept C207512268 @default.
- W3133754928 hasConcept C21200559 @default.
- W3133754928 hasConcept C24326235 @default.
- W3133754928 hasConcept C2775924081 @default.
- W3133754928 hasConcept C2779240695 @default.
- W3133754928 hasConcept C2779343474 @default.
- W3133754928 hasConcept C38652104 @default.