Xiang Song

Xiang Song

Massachusetts Institute of Technology

H-index: 13

North America-United States

About Xiang Song

Xiang Song, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Econometrics, Artificial Intelligence, Financial Economics, Operations Research.

His recent articles reflect a diverse array of research interests and contributions to the field:

Cooperative traffic signal control through a counterfactual multi-agent deep actor critic approach

Traffic flow and speed forecasting through a Bayesian deep multi-linear relationship network

Input data selection for daily traffic flow forecasting through contextual mining and intra-day pattern recognition

Investigating personalized exit choice behavior in fire accidents using the hierarchical Bayes estimator of the random coefficient logit model

A deep reinforcement learning approach to traffic signal control with temporal traffic pattern mining

A Bayesian sample selection model based on normal mixture to investigate household car ownership and usage behavior

A back-pressure-based model with fixed phase sequences for traffic signal optimization under oversaturated networks

Daily traffic flow forecasting through a contextual convolutional recurrent neural network modeling inter-and intra-day traffic patterns

Xiang Song Information

University

Position

___

Citations(all)

675

Citations(since 2020)

609

Cited By

253

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Xiang Song Skills & Research Interests

Econometrics

Artificial Intelligence

Financial Economics

Operations Research

Top articles of Xiang Song

Title

Journal

Author(s)

Publication Date

Cooperative traffic signal control through a counterfactual multi-agent deep actor critic approach

Transportation Research Part C: Emerging Technologies

Xiang Ben Song

Bin Zhou

Dongfang Ma

2024/3/1

Traffic flow and speed forecasting through a Bayesian deep multi-linear relationship network

Expert Systems with Applications

Dongfang Ma

Jiacheng Zhu

Xiang Ben Song

Xin Wang

2023/3/1

Input data selection for daily traffic flow forecasting through contextual mining and intra-day pattern recognition

Expert Systems with Applications

Dongfang Ma

Xiang Ben Song

Jiacheng Zhu

Weihao Ma

2021/8/15

Investigating personalized exit choice behavior in fire accidents using the hierarchical Bayes estimator of the random coefficient logit model

Analytic methods in accident research

Xiang Ben Song

Ruggiero Lovreglio

2021/3/1

A deep reinforcement learning approach to traffic signal control with temporal traffic pattern mining

IEEE Transactions on Intelligent Transportation Systems

Dongfang Ma

Bin Zhou

Xiang Song

Hanwen Dai

2021/9/1

A Bayesian sample selection model based on normal mixture to investigate household car ownership and usage behavior

Travel Behaviour and Society

Na Wu

Xiang Ben Song

Ronghan Yao

Qian Yu

Chunyan Tang

...

2020/7/1

A back-pressure-based model with fixed phase sequences for traffic signal optimization under oversaturated networks

IEEE Transactions on Intelligent Transportation Systems

Dongfang Ma

Jiawang Xiao

Xiang Song

Xiaolong Ma

Sheng Jin

2020/4/29

Daily traffic flow forecasting through a contextual convolutional recurrent neural network modeling inter-and intra-day traffic patterns

IEEE Transactions on Intelligent Transportation Systems

Dongfang Ma

Xiang Song

Pu Li

2020/2/24

See List of Professors in Xiang Song University(Massachusetts Institute of Technology)

Co-Authors

academic-engine