بهزاد حدادپور

In recent decades, advancements in communication an‎d information technologies, particularly mobile phone data, have significantly transformed the methods of collecting travel data an‎d planning transportation systems. This transformation has also influenced the field of transportation engineering an‎d urban planning, leading to improvements in mobility management an‎d traffic control. To support decision-making in the planning an‎d efficient management of transportation networks, the origin-destination (OD) matrix is considered a crucial tool that provides accurate information about travel patterns by showing the number of trips made between each pair of origins an‎d destinations within a specific time period. Given the increasing population an‎d urbanization, accurately estimating the travel deman‎d matrix has become a fundamental challenge. This study presents a method for estimating the intercity travel deman‎d matrix of Iran using mobile phone data an‎d refining it based on traffic count data. Initially, the trip matrix was extracted from raw mobile phone data, an‎d to enhance accuracy, correction factors were calculated through calibration with traffic count data. The proposed method was eva‎luated using traffic assignment techniques an‎d the Traffic Flow Fuzzy (TFF) correction model. The results show that after applying the correction, the coefficient of determination (R²) between the observed an‎d estimated traffic counts increased to above 0.9, an‎d the Structural Similarity Index (SSIM) exceeded 0.85. Qualitatively, the proposed algorithm succeeded in preserving the overall structure of the initial matrix, improving trip estimation accuracy, an‎d controlling fluctuations caused by low-quality raw data. Furthermore, eva‎luating various traffic assignment methods indicated that all methods except the incremental assignment yielded satisfactory results. However, the eva‎luation of different scenarios an‎d the selec‎tion of the most appropriate method had a significant impact on the final output quality, an‎d increasing the number of observations did not necessarily lead to better results. This study demonstrates that the combined use of mobile phone data an‎d traffic counts can serve as an effective tool for more accurate travel deman‎d estimation at a national scale.

داده‌ تلفن همراه , تقاضاي سفر , ماتريس مبدا-مقصد , اصلاح ماتريس مبدا-مقصد

Mobile phone data , Travel demand , Origin-destination matrix , Origin-destination matrix correction

Behzad Haddadpour

Afshin Shariat Mohaymany