TY - GEN
T1 - Traffic crash prediction based on incremental learning algorithm
AU - Sun, Ping
AU - Guo, Guimu
AU - Yu, Rongjie
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/20
Y1 - 2017/10/20
N2 - Real-time crash prediction models are playing a key role in transportation information system. Support vector machine (SVM), a classification learning algorithm, was introduced to evaluate real-time crash risk. The size of traffic dataset is always large with a high accumulating speed. By applying a warm start strategy, an incremental learning algorithm is introduced to update the original model. In this way, incremental dataset will improve the original model with a little time consumption. This study developed crash risk prediction model utilizing loop detector traffic data and historical crash data. With three comparison experiments, the improvement of accuracy and efficiency of this incremental learning algorithm was proved.
AB - Real-time crash prediction models are playing a key role in transportation information system. Support vector machine (SVM), a classification learning algorithm, was introduced to evaluate real-time crash risk. The size of traffic dataset is always large with a high accumulating speed. By applying a warm start strategy, an incremental learning algorithm is introduced to update the original model. In this way, incremental dataset will improve the original model with a little time consumption. This study developed crash risk prediction model utilizing loop detector traffic data and historical crash data. With three comparison experiments, the improvement of accuracy and efficiency of this incremental learning algorithm was proved.
UR - http://www.scopus.com/inward/record.url?scp=85040007180&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040007180&partnerID=8YFLogxK
U2 - 10.1109/ICBDA.2017.8078803
DO - 10.1109/ICBDA.2017.8078803
M3 - Conference contribution
AN - SCOPUS:85040007180
T3 - 2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017
SP - 182
EP - 185
BT - 2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Big Data Analysis, ICBDA 2017
Y2 - 10 March 2017 through 12 March 2017
ER -