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Route Choice Estimation Using Cell Phone Data

Taghipour, Homa | 2016

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 49392 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Shafahi, Yousef
  7. Abstract:
  8. Knowing the trip information such as paths that travelers prefer to choose is useful for practice in developing certain transportation planning step. There are different methods such as using GPS and conducting survey for volunteer travelers in order to understand actual paths. Obviously, all of these methods have some deficiencies. This research suggests and examines a method for estimating travelers’ path by using cell phone data. The main advantage of using these kinds of data is enabling the process of collecting information without any active interference of the users. A big data set consisting of 300,000 cell phone users’ information in the city of Shiraz is studied to achieve this purpose. This data set includes spatiotemporal information of random travelers for every 5 minutes in a time span of 40 hours in two consecutive days. In the suggested method, at first, all the required information is gathered and prepared to be used in the study. Then, an initial path based on the location of BTSs for each trip is estimated. Finally, to achieve more precise result, some possible paths on the transportation network are determined and the nearest one to the initial path for each traveler’s trip is chosen. Researchers usually assume that travelers are using the shortest paths under user equilibrium conditions. However, recent studies show that travelers use different paths because of several reasons. Therefore, knowing the actual paths instead of the shortest paths can dramatically improve the traffic assignment result. This research compares the estimated paths with the shortest paths, and the result shows that travelers usually choose paths which are not always the shortest ones. This research estimates the usage of the shortest paths for morning pick hour trips with respect to trip length and position of origin and destination. The usage of the shortest paths for different situations and conditions is something between 38 percent at least and 71 percent at most
  9. Keywords:
  10. Transportation Network ; Route Choice Modeling ; Mobile Telephony ; Shortest Path ; Cellular Network Data

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