| Author | Parichart Pattanamekar |
| Call Number | AIT Thesis no.TE-00-07 |
| Subject(s) | Travel time (Traffic engineering)
|
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of
Master of Engineering, School of Civil Engineering |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. TE-00-07 |
| Abstract | The shortest path problems in transportation networks have been the subject of
extensive research for many years. It is hypothesized that shortest path algorithm employed
with the route choice model including individual behavior will give superior results compared
to the general shortest path techniques. The empirical studies have shown that drivers use
many criteria in pre-route decision. One important factor found in the previous study is travel
time reliability. However, the travel time reliability has overlooked from many studies on
shortest path areas. There have been few studies on identifying travel time uncertainty in real
transportation network to develop route choice behavior model and use it for identifying the
optimal path.
With the teclmologies of Advance Transportation Information Systems (ATIS), real
time data implementations supporting central to any in-vehicle Route Guidance Systems
(RGS) can be used to find an optimal route from the origin to the destination m a
transportation network which takes into account drivers ' route choice behavior.
The main purposes of the thesis are to identify the characteristics of travel time
unce1tainties in the context of ATIS, and combine them into the travel time approximation
model for identifying the optimal path in dynamic and stochastic transportation network. The
analytical mathematics shows that, in individual travel time forecast, there are two component
of unce1tainty: mean travel time forecasting error and individual variance. The approximation
model for individual travel time forecast and the prediction interval (PI) model are proposed in
this thesis. The results using the Automatic Vehicle Identification (A VI) based travel time data
show that the proposed models are more general than existing models in that they can be
applied for both travel time estimate and travel time forecast. |
| Year | 2001 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. TE-00-07 |
| Type | Thesis |
| School | School of Civil Engineering |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Transportation Engineering (TE) |
| Chairperson(s) | Park, Dongjoo; |
| Examination Committee(s) | Yordphol Tanaboriboon;Takahashi, Kiyoshi;Pannapa Herabat; |
| Scholarship Donor(s) | Royal Thai Government / Human Resource
Development Program (Phase II); |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2001 |