Adjust of Origin-destination Matrices Using Link Counts and Partial Paths Data

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Rostami Nasab, Mojtaba | 2018

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 50466 (09)
University: Sharif University of Technology
Department: Civil Engineering
Advisor(s): Shafahi, Yousef
Abstract:
This paper presents five origin-destination (OD) flow estimation models using traffic sensors. The first model uses counting sensors data, the second model uses automated vehicle identification (AVI) sensors data and the third, fourth and fifth use combined data of counter and AVI sensors simultaneously. The first to fourth models are bi-level problems that the upper-level minimizes some objective functions where is the distance between estimated flows and observed flows. On the other hand, the lower-level problem finds user equilibrium (UE) flows pattern for estimated origin-destination matrix (ODM). The fifth model is a multi-objective problem, where a bi-level problem is solved for each objective. For solving these models, gradient-based algorithm and some innovative methods are used. In order to compare the performance of the solving methods, all models are applied to adjust ODM of Mashhad city network with 163 traffic zones and 2093 links. The results show that innovative methods have better performance to estimate ODM compared with the gradient-based algorithm
Keywords:
Traffic Information ; Automated Vehicle Identification ; Travel Demand Estimation ; Observed Link Volume ; Origin-Destination Estimation ; Multiobjective Optimization ; Bi-level Model

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