Smart Transportation – Big Data Analysis

big-data

Program Background

The program is developed based on the cutting-edge research progress in smart transportation and provides participants interdisciplinary academic training with knowledge covering economics, energy, policy and statistics.

Commitment

6 weeks of study, 1-2 sessions per week

Course Features

small class, real-time interaction, teaching assistant, one-on-one discussion with professor

In this course, you will

  • Preprocess the fuel consumption and mileage data of private vehicles of one to two cities;
  • Conduct statistical analysis between the fuel consumption/carbon emission data,in particular exploring key factors affecting real-world fuel economy including vehicle maker,size,technology,and model year in the corresponding cities;
  • Collecting city-specific parameters that may influence vehicle usage and fuel consumption levels,such as road infrastructure, temperature,road slope,traffic congestion,and transportation-related prices.

Past pictures and products

INTERESTED STUDENTS, PLEASE LEAVE YOUR CONTACT INFORMATION HERE!