Analysis of freeway accident frequencies: Negative binomial regression versus artificial neural network

By Li-yen Chang. 2005

358 citations recorded by the source corpus.

Subfields: Building and Construction, Safety, Risk, Reliability and Quality, Transportation

View Paper: https://www.semanticscholar.org/paper/70a63ec9e2be14e61ee731c9154c5ec0439f315e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Zhuoning Yuan
2. Xun Zhou
3. Tianbao Yang

In Safety, Risk, Reliability and Quality

1. Zhuoning Yuan
2. Xun Zhou
3. Tianbao Yang

In Transportation

1. Zhuoning Yuan
2. Xun Zhou
3. Tianbao Yang

Citations in the corpus

• Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data (2018, methodology): “Chang [9] compared the performance of Artificial Neural Network with that of a negative binomial regression model over 1338 accidents.”