Matches in SemOpenAlex for { <https://semopenalex.org/work/W3178477648> ?p ?o ?g. }
- W3178477648 endingPage "126262" @default.
- W3178477648 startingPage "126262" @default.
- W3178477648 abstract "With the development of automated driving technology and communication technology, the emergence of connected automated vehicles (CAVs) will significantly improve traffic efficiency and safety. To study the influence of connected automated vehicles (CAVs) on mixed traffic flow, this study proposes a cellular automata (CA) model of mixed traffic flow considering the driving behavior of the platoon of CAVs. Firstly, three car-following modes, Human-driven vehicle (HDV), Adaptive Cruise Control (ACC), and Cooperative Adaptive Cruise Control (CACC), in mixed traffic flow are analyzed. Secondly, on the bias of the safety distance model and platoon behavior analysis, the acceleration, deceleration, and randomization rules of the cellular automata model of mixed traffic flow are developed. The time step is introduced into the model in the rule design, and the reaction time of the vehicle is considered in the randomization rule. Finally, a numerical simulation is conducted to analyze the fundamental diagram of mixed traffic flow, traffic congestion, and speed volatility under different penetration rates of CAVs. The result shows that (1) the road capacity under the pure CAV environment has increased by 3.24 times compared with the pure HDVs; (2) the maximum congestion reduction percentage can reach 63.36%; and (3) when the penetration rate reaches 80%, the velocity fluctuation decreases significantly. Sensitivity analysis shows that when the penetration rate of CAVs is 100%, the maximum platoon size increase can improve the road capacity. Furthermore, the maximum platoon size has an optimal value in a specific density range. • A cellular automata model of mixed traffic flow with CAVs platoons is developed. • The influence of penetration rate of CAVs on traffic flow is discussed. • The influence of maximum platoon size of the CAVs on mixed traffic flow is analyzed. • The time step of the model and the simulation time step is set to 0.1 s. • The reaction time of vehicle is introduced into the rule of randomization." @default.
- W3178477648 created "2021-07-19" @default.
- W3178477648 creator A5031183590 @default.
- W3178477648 creator A5065051957 @default.
- W3178477648 creator A5072624318 @default.
- W3178477648 creator A5076077777 @default.
- W3178477648 creator A5090200198 @default.
- W3178477648 date "2021-11-01" @default.
- W3178477648 modified "2023-10-17" @default.
- W3178477648 title "A cellular automata model for mixed traffic flow considering the driving behavior of connected automated vehicle platoons" @default.
- W3178477648 cites W1109327202 @default.
- W3178477648 cites W1203479534 @default.
- W3178477648 cites W1967198727 @default.
- W3178477648 cites W1974715544 @default.
- W3178477648 cites W1986861036 @default.
- W3178477648 cites W1991095535 @default.
- W3178477648 cites W2005922558 @default.
- W3178477648 cites W2009017523 @default.
- W3178477648 cites W2033380694 @default.
- W3178477648 cites W2037327279 @default.
- W3178477648 cites W2050323272 @default.
- W3178477648 cites W2057919206 @default.
- W3178477648 cites W2061194039 @default.
- W3178477648 cites W2071432129 @default.
- W3178477648 cites W2089080831 @default.
- W3178477648 cites W2093469292 @default.
- W3178477648 cites W2114981118 @default.
- W3178477648 cites W2119159364 @default.
- W3178477648 cites W2119445797 @default.
- W3178477648 cites W2147021187 @default.
- W3178477648 cites W2172865909 @default.
- W3178477648 cites W2294188805 @default.
- W3178477648 cites W2493168586 @default.
- W3178477648 cites W2569429845 @default.
- W3178477648 cites W2611350544 @default.
- W3178477648 cites W2745775506 @default.
- W3178477648 cites W2761584085 @default.
- W3178477648 cites W2772610594 @default.
- W3178477648 cites W2773604174 @default.
- W3178477648 cites W2781038188 @default.
- W3178477648 cites W2884394246 @default.
- W3178477648 cites W2885067519 @default.
- W3178477648 cites W2885197848 @default.
- W3178477648 cites W2939426106 @default.
- W3178477648 cites W3007754307 @default.
- W3178477648 cites W3038041339 @default.
- W3178477648 cites W3038981517 @default.
- W3178477648 cites W3087561496 @default.
- W3178477648 cites W3088051882 @default.
- W3178477648 cites W3098253819 @default.
- W3178477648 cites W3104556324 @default.
- W3178477648 cites W3112606159 @default.
- W3178477648 cites W3122700123 @default.
- W3178477648 cites W3128493583 @default.
- W3178477648 cites W3160786793 @default.
- W3178477648 doi "https://doi.org/10.1016/j.physa.2021.126262" @default.
- W3178477648 hasPublicationYear "2021" @default.
- W3178477648 type Work @default.
- W3178477648 sameAs 3178477648 @default.
- W3178477648 citedByCount "50" @default.
- W3178477648 countsByYear W31784776482022 @default.
- W3178477648 countsByYear W31784776482023 @default.
- W3178477648 crossrefType "journal-article" @default.
- W3178477648 hasAuthorship W3178477648A5031183590 @default.
- W3178477648 hasAuthorship W3178477648A5065051957 @default.
- W3178477648 hasAuthorship W3178477648A5072624318 @default.
- W3178477648 hasAuthorship W3178477648A5076077777 @default.
- W3178477648 hasAuthorship W3178477648A5090200198 @default.
- W3178477648 hasConcept C113168747 @default.
- W3178477648 hasConcept C11413529 @default.
- W3178477648 hasConcept C127413603 @default.
- W3178477648 hasConcept C154945302 @default.
- W3178477648 hasConcept C171146098 @default.
- W3178477648 hasConcept C207512268 @default.
- W3178477648 hasConcept C2775924081 @default.
- W3178477648 hasConcept C2777735972 @default.
- W3178477648 hasConcept C2780150632 @default.
- W3178477648 hasConcept C31258907 @default.
- W3178477648 hasConcept C35527583 @default.
- W3178477648 hasConcept C41008148 @default.
- W3178477648 hasConcept C44154836 @default.
- W3178477648 hasConcept C47446073 @default.
- W3178477648 hasConceptScore W3178477648C113168747 @default.
- W3178477648 hasConceptScore W3178477648C11413529 @default.
- W3178477648 hasConceptScore W3178477648C127413603 @default.
- W3178477648 hasConceptScore W3178477648C154945302 @default.
- W3178477648 hasConceptScore W3178477648C171146098 @default.
- W3178477648 hasConceptScore W3178477648C207512268 @default.
- W3178477648 hasConceptScore W3178477648C2775924081 @default.
- W3178477648 hasConceptScore W3178477648C2777735972 @default.
- W3178477648 hasConceptScore W3178477648C2780150632 @default.
- W3178477648 hasConceptScore W3178477648C31258907 @default.
- W3178477648 hasConceptScore W3178477648C35527583 @default.
- W3178477648 hasConceptScore W3178477648C41008148 @default.
- W3178477648 hasConceptScore W3178477648C44154836 @default.
- W3178477648 hasConceptScore W3178477648C47446073 @default.
- W3178477648 hasLocation W31784776481 @default.
- W3178477648 hasOpenAccess W3178477648 @default.