Correction of Time-Dependent Origin-Destination Demand in Dynamic Traffic Assignment

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Shafiei, Mohammad Sajjad | 2013

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 44588 (09)
University: Sharif University of Technology
Department: Civil Engineering
Advisor(s): Zakaei Ashtiani, Hedayat
Abstract:
Time-dependent origin-destination demand is a key input in dynamic traffic assignment in advanced traffic management systems, and the result of dynamic traffic assignment is dependent on the accuracy of this information. One method to achieve time dependent demand matrices is using a primary demand matrix and volume traffic counts in some links of network. In this thesis a bi-level model is used to correct the demand matrix and the extended gradient method is suggested to solve the problem. The extended gradient is an iterative method that in each iteration, corrects the demand matrix in a way that the estimated traffic flow be close to the observed traffic flow. Execution of this method in small networks and in Ardebil network shows the power of this algorithm for correction of dynamic origin-destination demand matrices
Keywords:
Time Dependent Origin-Destination Demand ; Dynamical Traffic Assignment ; Extended Gradient Method

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