แจ้งเอกสารไม่ครบถ้วน, ไม่ตรงกับชื่อเรื่อง หรือมีข้อผิดพลาดเกี่ยวกับเอกสาร ติดต่อที่นี่ ==>
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
Vikrom Maikaensarn. Study of travel behavior using Wi-Fi probes. Master's Degree(Engineering and Technology). Thammasat University. Thammasat University Library. : Thammasat University, 2017.
Study of travel behavior using Wi-Fi probes
Name: Vikrom Maikaensarn
keyword:
Smart city
Abstract:
In this study, Wi-Fi probes are used to make data collection easier and more flexible. Wi-Fi probes were used in collecting data from monitoring vehicular traffic and pedestrians. In vehicular traffic monitoring, it was found that maximum detection rate was 34.63%. But some of these MAC addresses detected were from pedestrians as well. In other locations with less pedestrians, the detection rates were very low. The results from origin-destination (OD) analysis show that the number of trips between zones were very small as compared to the number of detections of vehicles in different locations. And the average detection rate of the overall detection from different zones was 14.24%. This also indicates that Wi-Fi probe can detect pedestrians better than vehicle. In the second part, human population density travel behavior, it was found that number of MAC addresses detected are very high when compared to field surveys data due to MAC address randomization. Thus, an experiment on human population density was conducted to find a relationship between number of detections (NoD) and number of people (NoP) in the area, to use this relation to predict number of people, and to find out other factors which affect number of detections. The relationship between NoD and NoP was represented using linear regression model. The average error from model calibration was 20%. It is also found that as NoD increase the error from model is also lower. Other factors affecting data collection include mobile modes of operation, which lower NoD, and Wi-Fi connection status, which may increase noises in NoD. By applying this information in removing noisy data, its possible to analyze for travel behavior information of people in the study area. This include tendency of trips from different locations and trip patterns of the people. In conclusion, Wi-Fi probes can detect pedestrian better than vehicles. Due to limitation of the device, Wi-Fi probes are suitable for collecting a sampling of information, about travel behavior, from the whole population. Wi-Fi probes are also suitable for collected matched MAC addresses for OD estimation in long term data collection
Thammasat University. Thammasat University Library
Address:
BANGKOK
Email:
preserv@tu.ac.th
Name: Mongkut Piantanakulchai
Role:
advisor
Created:
2017
Modified:
2564-04-20
Issued:
2021-04-20
วิทยานิพนธ์/Thesis
application/pdf
eng
DegreeName: Master of Science
Level: Master's Degree
Descipline: Engineering and Technology
Grantor: Thammasat University
©copyrights Thammasat University
RightsAccess:
ใช้เวลา
0.034641 วินาที
Vikrom Maikaensarn
| Title | Contributor | Type |
|---|---|---|
| Study of travel behavior using Wi-Fi probes
มหาวิทยาลัยธรรมศาสตร์ Vikrom Maikaensarn | Mongkut Piantanakulchai | วิทยานิพนธ์/Thesis |
Mongkut Piantanakulchai