Dawei Li

Orcid: 0000-0002-5936-2116

Affiliations:
  • Southeast University, School of Transportation, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic, Jiangsu Key Laboratory of Urban ITS, Nanjing, China


According to our database1, Dawei Li authored at least 13 papers between 2011 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
An inverse reinforcement learning approach for truck route choice analysis with BeiDou navigation satellite system data in urban network.
Expert Syst. Appl., 2026

2025
Are Neural Networks Better than Machine Learning? A Comparative Study for Travel Mode Predictions.
Syst., 2025

2024
Dynamic Recursive Logit Model for Vehicle Driving Route Choices and Path Inference With Incomplete Fixed Location Sensor Data.
IEEE Trans. Intell. Transp. Syst., December, 2024

Recovering Real Demand for Free-Floating Bike-Sharing System Considering Demand Truncation, Migration, and Spatial Correlation.
IEEE Trans. Intell. Transp. Syst., May, 2024

Exploring the Pedestrian Route Choice Behaviors by Machine Learning Models.
ISPRS Int. J. Geo Inf., 2024

Detecting Pattern Changes in Individual Travel Behavior Based on a Bayesian Method.
IEEE Access, 2024

2022
Map Matching for Sparse Automatic Vehicle Identification Data.
IEEE Trans. Intell. Transp. Syst., 2022

2021
Multi-Modal Combined Route Choice Modeling in the MaaS Age Considering Generalized Path Overlapping Problem.
IEEE Trans. Intell. Transp. Syst., 2021

2020
Comparative Study of Logit and Weibit Model in Travel Mode Choice.
IEEE Access, 2020

Multi-Mode Traffic Demand Analysis Based on Multi-Source Transportation Data.
IEEE Access, 2020

Route Choice Considering Hybrid Regret and Utility Modeling Under Big Data Context.
IEEE Access, 2020

2017
Integrating Optimal Heterogeneous Sensor Deployment and Operation Strategies for Dynamic Origin-Destination Demand Estimation.
Sensors, 2017

2011
Incident Duration Prediction Based on Latent Gaussian Naive Bayesian classifier.
Int. J. Comput. Intell. Syst., 2011


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