| Author | Suzuki, Hironori |
| Call Number | AIT Diss. no.TE-00-01 |
| Subject(s) | Traffic flow--Simulation methods
|
| Note | A dissertation submitted in partial fulfilment of the requirements the Degree of Doctor of Engineering, School of Civil Engineering |
| Publisher | Asian Institute of Technology |
| Series Statement | Dissertation ; no. TE-00-01 |
| Abstract | A new model was formulated for estimating dynamic origin-destination (O-D) travel time and flow on a long freeway using a Neural-Kalman filter, which was originally developed by the authors. The model predicts 0-D travel times and flows simultaneously by using traffic detector data such as link traffic volumes, spot Speeds and off-ramp volumes. The model is based on a Kalman filter that consists of two equations; state and measurement equations. First of all, the state and measurement equations of the Kalman filter were modified to consider the influence of traffic states for some previous time steps. Then, artificial neural network (ANN) models were integrated with the Kalman filter to enable non-linear formulations of the state and measurement equations. Finally, a macroscOpic traffic flow simulation model was introduced to simulate traffic states on a freeway in advance and predict traffic variables such as 0-D travel times, link traffic volumes, spot Speeds and off- ramp volumes. The new model was compared with a Regression-Kalman filter in which the state and measurement equations are defined by regression models. The numerical analysis showed that the new model was capable of estimating non-linearity of dynamic O-D travel time and flow and helped to improve their estimation precision under free flow traffic states as well as congested flow states. The estimation precision was improved if dynamic 0-D travel time and flow were simultaneously estimated within one process. In addition, another numerical analysis revealed that the use of more number of traffic detectors contributed to estimating the 0-D travel time and flow with more accuracy. |
| Year | 2001 |
| Corresponding Series Added Entry | Asian Institute of Technology. Dissertation ; no. TE-00-01 |
| Type | Dissertation |
| School | School of Civil Engineering |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Transportation Engineering (TE) |
| Chairperson(s) | Takahashi, Kiyoshi; |
| Examination Committee(s) | Yordphol Tanaboriboon;Pannanpa Herabat;Vilas Wusongse;Nakatsuji, Takashi;Rouphail, Ngui M. ; |
| Scholarship Donor(s) | Government of Japan; |
| Degree | Thesis (Ph.D.) - Asian Institute of Technology |