Day-to-day variation in Markovian traffic assignment models

Transportation Research Part B: Methodological

Volumn 36, Issue 7, 2002, Pages 637-648

  Hazelton, Martin L ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Asymptotic; Coefficient of reactivity; Dynamics; Learning mechanisms; Route choice

Indexed keywords

COMPUTER SIMULATION;

HAPHAZARD FLUCTUATIONS;

TRAFFIC CONTROL;

COST; METHODOLOGY; MODELING; TRAVEL BEHAVIOR;

EID: 0036681085     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0191-2615(01)00032-7     Document Type: Article

References (10)

1. Dynamic processes and equilibrium in transportation networks: Towards a unifying theory
2. A stochastic process approach to the analysis of temporal dynamics in transportation networks
3. On stochastic models of traffic assignment
4. Large population approximations of a general stochastic traffic assignment model
5. Modelling traveller learning in stochastic traffic assignment
6. The influence of alternative traveller learning mechanisms on the dynamics of transport systems
7. Asymmetric problems and stochastic process models of traffic assignment
8. Stability of the stochastic assignment problem: A dynamical system approach
9. The dynamics and equilibria of day-to-day assignment models