Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Online traffic flow assignment method based on structure matching selection of multilevel road network. |
| Συγγραφείς: |
Di, Zhang |
| Πηγή: |
International Journal of Computers & Applications; Feb2021, Vol. 43 Issue 2, p171-175, 5p |
| Θεματικοί όροι: |
Traffic flow measurement, Artificial intelligence, Regression analysis data processing, Neural computers, Artificial neural networks, Sensitivity analysis |
| Περίληψη: |
The main purpose of the paper is to propose a traffic flow assignment method with matched selection of a multi-level road traffic network structure. Firstly, road connection 'design' parameters of traffic pricing are introduced, equilibrium conditions of users by traffic flow assignment are improved, design/pricing problem models of traffic network are constructed and surrounding semi-differentiable conditions of the reference point are considered and sensibility analysis methods of traffic equilibrium are designed. Then, sensitivity analysis is implemented combined with traffic flow assignment (TAPAS) output based on paired selection, it is shown how to use TAPAS to find a very precise equilibrium solution effectively and use the directional derivative. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Complementary Index |