Southern African Transport Conference Identification of Trip Characteristics

CONTANTS 01 Introduction 02 Detection 03 Case study 04 Conclusion 1

1. Introduction Ø Intelligent transportation system place more emphasis on using the existing infrastructure

2. Detection The collected data of detection equipment will upload to the central data

3. Case study On October 15, 2016 Do experiment Xi’an Metro Line 1 and

4. Case study Ø The maximum / minimum travel time between stations Wu-Sa Maximum

4. Case study Parameters of Kolmogorov-Smirnov test Test interval Wu-An Wu-Zhong Sa-An Sa-Zhong sample

4. Conclusion Wi. Fi information detection equipment can collect unique MAC address and identify

With great thanks to: Southern Africa-China Transportation Cooperation Center Sirui Nan Chang'an University Email:

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Southern African Transport Conference Identification of Trip Characteristics in Urban Rail Transit System Using WIFI Information Sirui Nan Chang'an University Email: 447661975@qq. com Tel: (+86)17782569437

CONTANTS 01 Introduction 02 Detection 03 Case study 04 Conclusion 1

1. Introduction Ø Intelligent transportation system place more emphasis on using the existing infrastructure more efficiently Ø Travel characteristics of passengers are the basis of passenger induction, emergency management and ticketing Ø Modern traffic technology can accurately acquire passengers' location, time and other tags WIFI DEVICE WIFI : high rate speed, low cost, high GPS The sampling ofobtained bluetooth The cellcannot phone be contains the precision and high sampling inprivacy theis underground space rate about 1 -3% information 2

2. Detection The collected data of detection equipment will upload to the central data platform every 30 seconds. First step Layout the testing equipment with different stations Third step Each device transmits the acquired information to the central data platform Second step The device can obtain the MAC address information Fourth step The central data platform analyzes the information identified by each Wi. Fi device 3

3. Case study On October 15, 2016 Do experiment Xi’an Metro Line 1 and line 2 At Sa jin qiao , An yuan men Zhong lou , Wu lu kou station Verified by AFC data. 4

4. Case study Ø The maximum / minimum travel time between stations Wu-Sa Maximum travel time/min Minimum travel time/min Wu-An Wu-Zhong Sa-An Sa-Zhong An-Zhong 9. 5 20. 41 20. 11 19. 81 7. 25 3. 9 6. 8 6. 2 5. 7 4. 01 ØAssuming that the transfer time follows a lognormal distribution, and the confidence level is 95%，using SPSS to perform the Kolmogorov-Smirnov test 5

4. Case study Parameters of Kolmogorov-Smirnov test Test interval Wu-An Wu-Zhong Sa-An Sa-Zhong sample size N 14323 11390 16391 mean Normal distribution parameter standard deviation absolute Maximum difference value Kolmogorov-Smirnov Z Bilateral progressive significance 17526 1. 824385 1. 792189 1. 801811 1. 808791 . 4356103. 4028596. 4179854 . 4220941 . 262 . 251 . 255 . 258 7. 767. 774 6. 990. 730 7. 223. 755 7. 419. 772 6

4. Conclusion Wi. Fi information detection equipment can collect unique MAC address and identify travel characteristics. In the future, the data can be used to further improve the accuracy of passengers' travel characteristics recognition, and obtain more travel characteristics information. 7

With great thanks to: Southern Africa-China Transportation Cooperation Center Sirui Nan Chang'an University Email: 447661975@qq. com Tel: (+86)17782569437