Optimal occupancy-driven parking pricing under demand uncertainties and traveler heterogeneity: A stochastic control approach

Transportation Research Part B: Methodological

Volumn 67, Issue , 2014, Pages 144-165

  Qian, Zhen ^a   Rajagopal, Ram ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b Stanford University   (United States)

Author keywords

Demand uncertainty; Dynamic parking pricing; Parking occupancy; Parking sensing; Stochastic control; Value of time

Indexed keywords

COSTS; DYNAMIC PROGRAMMING; PARKING; STOCHASTIC CONTROL SYSTEMS; STOCHASTIC SYSTEMS; TRAFFIC CONGESTION; TRAVEL TIME; UNCERTAINTY ANALYSIS;

DEMAND UNCERTAINTY; INFORMATION PROVISION; NUMERICAL EXPERIMENTS; PARKING INFORMATIONS; REAL TIME MEASUREMENTS; STOCHASTIC CONTROL; STOCHASTIC CONTROL MODEL; VALUE OF TIME;

STOCHASTIC MODELS;

COMMUTING; PARKING; POLICY APPROACH; PRICE DYNAMICS; REAL TIME; REMOTE SENSING; STOCHASTICITY; TRANSPORTATION PLANNING; TRANSPORTATION POLICY; TRAVEL TIME; UNCERTAINTY ANALYSIS;

EID: 84902189631     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trb.2014.03.002     Document Type: Article

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