This research is focused on the development of a model for estimating arterial travel time by utilizing an automatic vehicle location (AVL) system-equipped bus as a probe vehicle. As an initial achievement, a prototype arterial travel time estimation model, applied to the bus arrival time estimation, was developed. The methodology adopted in this phase of the travel time estimation model was the online parameter adaptation algorithm. Three objectives were identified for this phase of the research. These were: (1) studying dynamics of bus behavior at a single bus stop; (2) extending the dynamics of bus behavior study to multiple bus stops; and (3) developing a prototype bus arrival time prediction model. The prototype travel time estimation was tested and evaluated through the simulation.
[1]
Lennart Ljung,et al.
System Identification: Theory for the User
,
1987
.
[2]
Harold W. Sorenson,et al.
Parameter estimation: Principles and problems
,
1980
.
[3]
Mgh Bell,et al.
JOURNEY TIME PREDICTION FOR REAL TIME BUS MONITORING AND PASSENGER INFORMATION SYSTEMS
,
1988
.
[4]
G. Saridis.
Parameter estimation: Principles and problems
,
1983,
Proceedings of the IEEE.
[5]
R B Potts,et al.
Maintaining a bus schedule
,
1964
.
[6]
Tien C. Hsia,et al.
System identification: Least-squares methods
,
1977
.