Development of average daily traffic database to improve a travel demand model in Thailand | |
| Author | Patcharaporn Chaiyaboot |
| Call Number | AIT Thesis no.TE-17-12 |
| Subject(s) | Trafic flow--Thailand Traffic surveys--Thailand |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Transportation Engineering |
| Publisher | Asian Institute of Technology |
| Abstract | Many transportation projects in Thailand use the travel demand model for traffic planning, design, management, and operation. The travel demand model and database has been continually developing since 1995 until now by the Office of Transportation and Traffic Policy and Planning (OTP). The National Model (NAM) is one of the models that is popularly used for the transportation project in Thailand. Unfortunately, NAM is not very developed due to the limited OTP budget available from the Ministry of Transport (MOT). Lacking the input data of the traffic survey can lead to the unacceptable results from NAM. One of the input data of the traffic survey which can be used to develop as a database for improving the travel demand model is the Annual Average Daily Traffic (AADT). The AADT data is the significant factor that is used for the highway planning activities, highway programming, and measuring the present demand for service and evaluating the present traffic flow. Therefore, this thesis was focused on developing the AADT as a database by collecting the AADT data from the various sources and the various year from the Department of Highways (DOH). Moreover, the traffic completion at the permanent stations was evaluated to make a more accurate of estimating AADT from the short period traffic counts in the future. The results of the AADT database were presented in term of a map by using ArcGIS program which can easily be functioned for the users. However, most of the AADT database that was developed in this thesis has been counted from the short period traffic counts and usesthe expansion factors from the permanent counts station nearby the point of the survey to estimate AADT. There are many factors that can lead to traffic variation such as the weather, accidents, incident situations, and road constructions. Therefore, how can the transportation engineers select the time period of the traffic count that can give a high accuracy of estimating AADT to the project? |
| Year | 2018 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Transportation Engineering (TE) |
| Chairperson(s) | Surachet Pravinvongvuth |
| Examination Committee(s) | Kunnawee Kanitpong;Kitti Subprasom (External Expert) |
| Scholarship Donor(s) | PSK Consultants Co., Ltd., Thailand;Royal Thai Government |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2018 |