Researches

Research on the Traffic Capacity of Highway Region Ecological Environment—— A Case of G30 Zhangye,Sept.2021- Jun.2023

Objective: To study the impact of highway traffic on the surrounding environment, calculate the carrying capacity of traffic
Delivery: A postgraduate thesis, and a paper titled The Maximum Traffic Capacity of Highway Region: Under Road Region Environment Constrains

Figure.1

Figure.2

Objective: To efficiently detect whether there are defects in the rendered generated map data for navigation
Implemented pre-training with Masked Image Modeling using three hybrid CNN-LSTM neural network models
Build the pre-training pipeline for the image recovery task and carried out the pre-training
Tested different numbers of continuous sequence image inputs with different pre-training models
Adjusted the pre-trained models for fine-tuning the image classification task
Developed the pipeline for abnormal image detection to identify defected lane rendering image
Delivery: An implementation report and participated in the HUAWEI 2022 Global AI Challenge

Objective: To develop robust lane detection neural network model that can tackle challenging scenes
Delivery: A research paper titled Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLoss

Figure.1

Figure.2

Figure.3

Lanzhou Jiaotong University | Research Assistant

Objective: To study the impact of highway traffic on the surrounding environment, calculate the carrying capacity of traffic
Wrote the research proposal.
Arranged the required instruments and equipment for the research (portable weather stations, noise detectors, etc.), tested and debug the equipment
Led the research team for a 5-day field data collection. Collected data includes regular air pollution data, meteorological data, traffic data, soil heavy metal data, noise data, etc.
Established a road traffic and ecological risk evaluation index system for ecological function areas
Determined the scope of the environmental impact of the highway is 600 meters using remote sensing datas
Delivery: Completed a research report, and prepared a project proposal for the National Natural Science Foundation of China

Figure.1 Time series data (NDVI) using Landsat8 remote sensing images.

Figure.2 Correlation analysis between NDVI value and meteorology indexes.

Lanzhou Jiaotong University | Research Assistant

Objective: To investigate the impact of rural roads on the industry in rural areas, taking rural roads as the main research object, revealing the mechanism of the role of the rural roads in the revitalization of the industry
The evaluation index system was established to analyze the relationship between the rural roads and agricultural industries
Utilized the entropy value method and Analytic Hierarchy Process(AHP) method to comprehensively assign weights to the index system, and calculated coupling coordination.
It is concluded that rural roads and agricultural industries in the study area are in a high degree of coupling, and county roads are developed in a point-axis pattern.
Delivery: Completed a research report, and a research paper titled Research on Coordination Relationship between Development of Rural Roads and Industrial Structure of Agriculture

Objective: To accurate weather forecasting, a second forecast is made based on the first forecast to improve forecast accuracy
The influence of meteorological conditions on the distribution of pollutant concentrations was studied using the pearson correlation coefficient method in combination with heat maps
Build a secondary forecast model based on LSTM on the basis of the first forecast data
Considering regional coordinated prediction of weather using LSTM-CNN to mine the temporal and spatial characteristics of pollutants between multiple sites
Test comparing LSTM and LSTM-CNN, and the prediction results with different hyperparameters
Delivery: Participated in The 18th China Post-Graduate Mathematical Contest in Modeling, won the 3rd prize