Exploring Traffic Crash Occurrence Mechanism toward Cross-Area Freeways via an Improved Data Mining Approach

Author:

Yang Yang1ORCID,Yuan Zhenzhou2,Meng Ran3ORCID

Affiliation:

1. Postdoctor, School of Transportation Science and Engineering, Beihang Univ., Beijing 100191, China (corresponding author). ORCID: .

2. Professor, School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing 100044, China.

3. Ph.D. Candidate, School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing 100044, China. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference29 articles.

1. Analysis of Instagram posting for marketing using apriori method;Abinowi E.;PalArch’s J. Archaeol. Egypt/Egyptol.,2021

2. Ai C. and Y. Tsai. 2012. “Critical assessment of automatic traffic sign detection using three-dimensional LiDAR point cloud data.” In Proc. Transportation Research Board 91st Annual Meeting. Washington DC: Transportation Research Board.

3. Large-Scale Loop Detector Troubleshooting Using Clustering and Association Rule Mining

4. Analysis of crash frequency in motorway tunnels based on a correlated random-parameters approach;Caliendo C.;Tunnelling Underground Space Technol.,2019

5. Spatiotemporal Analysis of Traffic Congestion Caused by Rubbernecking at Freeway Accidents

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