Route planning approach based on geographic information system and Adaptive Resonance Theory 1 | |
| Author | Suchada Leowpenwong |
| Call Number | AIT Thesis no.CS-94-26 |
| Subject(s) | Neural networks (Computer science) Geographic information systems |
| Note | A thesis submitted in partial fulfillment of the requirements for degree of Master of Science, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | This study presents a new idea for improving the route planning function of Geographical Information System (GIS) system through the used of a self-organizing neural network by incorporating dynamic information (e.g., traffic density) into the search for optimal route. The self-organizing scheme is utilized as a tool to collect and evaluate dynamic information. The relevant information (e.g., ARC_NO, TIME and TRAFFIC density) is converted to matrices by a pre-processing unit and the time impedance (TIME_IMPD), which is needed for ARC/INFO's optimal routing process, is being calculated by the post-processing unit. Experimentation showed that the time required to travel between any two nodes is optimized when dynamic info1mation is considered. In overall, the proposed scheme performs well under heavy traffic situation and shows small improvement under low traffic variation situation. |
| Year | 1994 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Yulu, Qi |
| Examination Committee(s) | Murai, Shunji ;Sadananda, Ramakoti |
| Scholarship Donor(s) | Electricity Generating Authority of Thailand (EGAT) |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 1994 |