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Estimation of Rout & Link Traffic Volume in Transportation Networks using Bluetooth & Wi-Fi Source Data

Rahimi, Mostafa | 2017

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50392 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Shafahi, Yousef
  7. Abstract:
  8. Route information and link traffic volume are among the most important means that are used for analyzing transportation networks. In the past, data from Traffic Counters and Automatic Number Plate Recognition were common ways for estimating route volumes. However, the estimation of these information has improved significantly and can be done cheaper with the development of new technologies and emergence of powerful tools. One of the cheapest and highly available tools is the use of wireless networks. The most popular of such these networks are Bluetooth and Wi-Fi technologies. The use of data generated from these technologies in engineering sciences has increased due to the popularity of devices with these technologies in communities. In this study, we provided a method for estimating traffic volume based on Bluetooth and Wi-Fi source data. For this purpose, we first designed and developed a device which could record Mac Addresses of Bluetooth and Wi-Fi simultaneously. Then, we used this device to estimate the input and output traffic volume of several major intersections of Tehran. This estimation was done by counting the unique device IDs of the links inputs and outputs near the intersections. Subsequently, by introducing the concept of Split Ratio Method, the split ratios of each intersection were calculated. Then, by using the uni-proportional method, the volume of links at each intersection was estimated. We then calculated GEH index and used linear regression for analyzing the accuracy of the estimates using the actual vehicle volumes of the links at the intersections that were manually counted using the recordings from a camera. The results showed that Bluetooth data could estimate split ratios, link and route volumes with proper accuracy since all of the GEH indices were less than five. The use of Wi-Fi data had less accuracy in estimating these traffic parameters in comparison to Bluetooth data
  9. Keywords:
  10. Bluetooth Thechnology ; Transportation Network Analysis ; Link Volume Estimation ; Route Volume Estimation ; Wi-Fi Technology ; Geoffrey E Hariis Method (GEH)

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