Titlebook: International Symposium for Intelligent Transportation and Smart City (ITASC) 2017 Proceedings; Branch of ISADS (The Xiaoqing Zeng,Xiongyao

Anthem

arabesque

騷擾

Endearing

Combined PCA and NB to Predict Traffic Incident Duration,nts worked best. Besides, the prediction accuracy was 77.46%, 82.08% and 86.34% for each type of incident within 20?min’ error, respectively. In conclusion, the results showed that the combined model of PCA and NB is a promising application to predict incident duration.

Femish

spondylosis

巫婆

Bereavement

Combined PCA and NB to Predict Traffic Incident Duration,ions for traffic managers. As the characteristics are significantly different from each other, models were established for each type of incident, i.e. stopped-vehicle incidents, lost-load incidents and accidents. After data pretreatment, Principal component analysis (PCA) was carried out for each ty

CONE

Improve the Urban Basic Construction of Facilities and Guarantee the Urban Traffic Flow,etworks. It analyzes the present state of traffic-nodes, digs out the reasons for this. Furthermore, it brings up feasible solutions and scheme. It draws summary and reflection of the integrated traffic networks construction, and notes them down as valuable experience for the subsequent engineering.

拔出