Description of field of research:

The aim of this project is to investigate the temporal and spatial relationship between transportation congestion index/accident and acceleration and deceleration of the vehicle.


Research Area

Transportation |
Congestion |
Statistical analysis

You will be supervised by Prof. Dixit, Dr Nair and Chence Niu who works in the School of Civil and Environmental Engineering as well as within the Research Centre for Integrated Transport Innovation (rCITI). rCITI has recently been successful in 10 ARC Grants (1 LIEF, 5 Linkage awards and 4 Discovery), participated in an additional Discovery grant, participated in a NHMRC grant as well as obtained additional substantial support from transport agencies such as Roads and Maritime Services (RMS), Transport for NSW and the US Federal Highway Administration. Although rCITI is based in Civil Engineering, it has strong linkages and ongoing collaborations with researchers in humanitarian Engineering, Electrical Engineering, Computer Science, Built Environment, and the Faculty of Medicine.

Also, a desk can be assigned to you in one of RCITI labs at School of Civil & Environmental Engineering, UNSW Sydney. You may work remotely, if needed.

As part of our team, you will have a better understanding on statistical analysis, data collection and programming. Ideally, we would like you to be involved in writing a conference paper or a journal paper based on this project.

Qian, Xinwu, et al. "Impact of transportation network companies on urban congestion: Evidence from large-scale trajectory data." Sustainable Cities and Society 55 (2020): 102053.