Large-scale traffic data monitoring and analysis | |
| Author | Worapol Leerunyakul |
| Call Number | AIT RSPR no.IM-16-03 |
| Subject(s) | Traffic monitoring Traffic surveys--Data processing |
| Note | A research submitted in partial fulfillment of the requirements for the degree of Master of Science in Information Management, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. IM-16-03 |
| Abstract | Large-scale traffic monitoring system is a prototype software system that gathers streams of vehicle data on the expressway observation end-points, stores them, and presents them on Web browser in a transportation matrix, Origin-Destination matrix format, with the use of Apache Hadoop ecosystem technology as an analytic back-end. The aim of this research is to provide the useful information for transportation engineers to improve traffic flow efficiency, logistic operation analysis, future investment analysis or any other additional plans. |
| Year | 2016 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. IM-16-03 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information Management (IM) |
| Chairperson(s) | Dailey, Matthew N.; |
| Examination Committee(s) | Surachet Pravinvongvuth;Mongkol Ekpanyapong; |
| Scholarship Donor(s) | Royal Thai Government Fellowship; |
| Degree | Research studies project report (M. Sc.) - Asian Institute of Technology, 2016 |