A mixed traffic capacity analysis and lane management model for connected automated vehicles: A Markov chain method

Transportation Research Part B: Methodological

Volumn 106, Issue , 2017, Pages 266-292

  Ghiasi, Amir ^a   Hussain, Omar ^a   Li, Xiaopeng ^a  

^a University of South Florida   (United States)

^b Sean)   (United States)

Author keywords

Capacity analysis; Connected autonomous vehicles; Lane management; Market penetration rate; Mixed traffic; Platooning intensity; Stochastic and heterogeneous headways

Indexed keywords

CHAINS; COMMERCE; HIGHWAY ADMINISTRATION; HIGHWAY ENGINEERING; HIGHWAY TRAFFIC CONTROL; MARKOV PROCESSES; OPTIMIZATION; SPATIAL DISTRIBUTION; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TRANSPORTATION; VEHICLES;

AUTONOMOUS VEHICLES; CAPACITY ANALYSIS; MARKET PENETRATION; MIXED TRAFFIC; PLATOONING INTENSITY; STOCHASTIC AND HETEROGENEOUS HEADWAYS;

ANALYTICAL MODELS;

ANALYTICAL FRAMEWORK; AUTOMATION; MARKOV CHAIN; NUMERICAL MODEL; SPATIAL DISTRIBUTION; STOCHASTICITY; TRAFFIC MANAGEMENT; TRANSPORT VEHICLE;

CHICKEN ANEMIA VIRUS;

EID: 85033723921     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trb.2017.09.022     Document Type: Article

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