Calibration of microscopic traffic-flow models using multiple data sources

Parameter identification of microscopic driving models is a difficult task. This is caused by the fact that parameters-such as reaction time, sensitivity to stimuli, etc.-are generally not directly observable from common traffic data, but also due to the lack of reliable statistical estimation techniques. This contribution puts forward a new approach to identifying parameters of car-following models.


Published in:
Philosophical Transactions Of The Royal Society A-Mathematical Physical And Engineering Sciences, 368, 4497-4517
Year:
2010
Keywords:
Laboratories:




 Record created 2010-11-24, last modified 2018-01-28


Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)