Sai's primary research interests include the applications of pervasive traffic data for transport planning and traffic management, safety analysis, autonomous vehicles, and building strategic regional transport network planning models. He has developed traffic and safety management strategies for several cities such as Sydney, Thane, New Delhi, Bandung, Cirebon, Muscat, and Hyderabad. He has authored more than 40 journal and conference papers with presentations in the US, Australia, India, and Hong Kong. Besides, he has experience teaching large undergraduate courses (more than 400 students in a class) at UNSW Sydney. He completed his PhD in 2019 at UNSW, Master of Technology (Transportation) in 2014 at IIT Roorkee and Bachelor of Engineering (Civil) in 2011 at the College of Engineering, Andhra University, Visakhapatnam.
BIO-SKETCH
Education
| Ph.D. | Transportation Engineering
| The University of New South Wales (Sydney, Australia) | 2019 |
| M.Tech. | Transportation Engineering
| Indian Institute of Technology (Roorkee, India)
| 2014 |
| B.E. | Civil Engineering | College of Engineering, Andhra University (Visakhapatnam, India)
| 2011 |
Professional Experience- May 2022 - Current: Assistant Professor, Transportation Research and Injury Prevention Centre (TRIPC) , IIT Delhi.
- Mar 2021 – April 2022: Adjunct Lecturer and Postdoctoral Research Associate, UNSW Sydney.
- Mar 2018 – Mar 2021: Research Associate, UNSW Sydney.
- Aug 2014 – Mar 2018: Research Assistant, UNSW Sydney.
- Feb 2015 – Nov 2017: Casual Academic, UNSW Sydney.
- Jul 2012 - Jun 2014: Research Assistant, Indian Institute of Technology Roorkee (IITR), India.
Key Areas of Interest
The current research interests include but are not limited to the following topics:
- Transport network modelling.
- Reliability and highway safety with a major emphasis on data-driven approaches.
- Application of pervasive traffic data for transport planning and traffic management.
- Transport system safety analysis and incident management.
- Examining human behaviour in the context of autonomous vehicles.
- Strategic regional transport network planning applications.
- Developing simulation models for traffic evaluation.
PUBLICATIONS
Journals
2. Chand, S., Yee, E., Alsultan, A., Dixit, V., 2021.
A descriptive analysis on the impact of Covid-19lockdowns on road traffic incidents in Sydney, Australia. International Journal of Environmental Research and Public Health. Vol. 18 (21). {Q1, SJR: 0.747}
3. Sinha, A., Chand, S., Vu, V., Chen, H., Dixit, V., 2021.
Crash and Disengagement Data of Autonomous Vehicles on Public Roads in California. Nature Scientific Data. Vol. 8 (298). {Q1, SJR: 2.565}
4. Waller, S.T., Chand, S., Zlojutro, A., Nair, D., Niu, C., Zhang, X., Dixit, V., 2021.
Rapidex: A novel tool for determining origin-destination trips using pervasive traffic data. Sustainability. Vol. 13 (20). {Q1,SJR:0.612}
5. Sinha, A., Bassil, D., Chand, S., Virdi, N., Dixit, V., 2021.
Impact of connected automated buses in a mixed fleet scenario with connected automated cars. IEEE Transactions on Intelligent Transportation Systems. {Q1, SJR: 1.591}
6. Sinha, A., Vu, V., Chand, S., Wijayaratna, K., Dixit, V., 2021.
A crash injury model involving autonomous vehicles: Investigating of crash and disengagement reports. Sustainability. Vol. 13 (14). {Q1,SJR:0.612}
9. Chand, S., Moylan, E., Waller, S. T., Dixit, V., 2020.
Analysis of vehicle breakdown frequency: A case study of New South Wales, Australia. Sustainability. Vol. 12 (19). {Q1, SJR:0.612}Page 3
10. Sinha, A., Chand, S., Virdi, N., Wijayaratna, K., Dixit, V., 2020.
Comprehensive safety assessment inmixed fleets with connected and automated vehicles: A crash severity and rate evaluation of conventional vehicles. Accident Analysis and Prevention, Vol. 142. {Q1, SJR:1.816}
11. Sinha, A., Chand, S., Virdi, N., Wijayaratna, K., Dixit, V., 2020.
Crash severity and rate evaluation of conventional vehicles in mixed fleets with connected and autonomous vehicles. Procedia Computer Science, Vol. 170, pp 688-695. {Q2, SJR:0.334}
12. Dixit, V., Nair, D.J., Chand, S., Levin, M.W., 2020.
A simple crowdsourced delay-based traffic signal control. PLoS One, 15(4), p.e0230598. {Q1, SJR:0.99}
13. Wijayaratna, K.P., Cunningham, M.L., Regan, M.A., Jian, S., Chand, S., Dixit, V.V., 2019.
Mobile phone conversation distraction: Understanding differences in impact between simulator and naturalistic driving studies. Accident Analysis & Prevention, Vol. 129, pp 108-118. {Q1, SJR:1.816}
18. Pande, A., Chand, S., Saxena, N., Dixit, V.V., Loy, J., Wolshon, B., Kent, J.D., 2017.
A preliminary investigation of the relationships between historical crash and naturalistic driving. Accident Analysis &Prevention, Vol.101, pp 107-116. {Q1, SJR:1.816}
22. Duell, M., Saxena, N., Chand, S., Amini, N., Grzybowska, H., Waller, S.T., 2016.
Deployment and calibration considerations for large-scale regional dynamic traffic assignment: Case study for Sydney, Australia. Transportation Research Record: Journal of the Transportation Research Board 2567, pp 78–86. {Q2, SJR:0.624}
Under review
25. Chand, S., Li, Z., Alsultan, A., Dixit, V. Evaluation of the relationship between transport network
structure and congestion.
26. Chand, S., Zlojutro, A., Lee, K., Dixit, V., Waller, S.T. A multi-city evaluation of transport network
sustainability.
Under preparation
Under preparation
27. Chand, S., Utilising pervasive traffic data to evaluate transport network resilience.
28. Chand, S., Alsultan, A., Dixit, V. Evaluating macro-level reliability using pervasive traffic data.
Page 4
Conferences
Full papers
1. Waller, S.T., Chand, S., Zlojutro, A., Nair, D., Niu, C., Zhang, X., Dixit, V., 2022. Rapidex:
A novel tool for determining origin-destination trips using pervasive traffic data. Accepted for presentation at the101st Annual Meeting of the Transportation Research Board (TRB), Washington DC, USA.
2. Saxena, N., Wijayaratna, K., Wu, K., Chand, S., Zlojutro, A., Espada, I., Dixit, V., Karl, C., 2021. Modelling
network-wide travel time variability: A case study. Accepted for a presentation at the Australasian
Transport Research Forum (ATRF), Brisbane, Australia.
3. Chand, S., Li, Z., Waller, S.T., Dixit, V., 2021.
Examining the macro-level factors affecting vehicle breakdown duration. Accepted for presentation at the 100th Annual Meeting of the Transportation Research Board (TRB), Washington DC, USA.
4. Sinha, A., Chand, S., Virdi, N., Wijayaratna, K., Dixit, V., 2020.
Crash severity and rate evaluation of conventional vehicles in mixed fleets with connected and autonomous vehicles. 9th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (AMBTRANS), Warsaw, Poland.
6. Chand, S., Moylan, E., Waller, S.T., Dixit, V.V., 2018.
Factors Affecting Vehicle Breakdown Frequency: A Macro-Level Model of Breakdowns in New South Wales, Australia. Presented at the 97th AnnualMeeting of the Transportation Research Board (TRB), Washington DC, USA.
8. Chand, S., Dixit, V.V., 2018. Latent class Tobit modelling of crash rates. Presented at the 97th Annual
Meeting of the Transportation Research Board (TRB), Washington DC, USA.
13. Dixit, V.V., Chand, S., Nair, D.J., 2016.
Autonomous vehicles: Disengagements, accidents and reaction times. Presented at the Future Land Force Conference (FLFC), Defence Science and Technology Group of Australia, Adelaide, Australia.
14. Duell, M., Saxena, N., Chand, S., Amini, N., Grzybowska, H., Waller, S.T., 2016.
Deployment and calibration considerations for large-scale regional dynamic traffic assignment: A case study for Sydney, Australia. Presented at the 95th Annual Meeting of the Transportation Research Board (TRB), Washington DC, USA.
16. Chand, S., Dixit, V.V., 2015. Safety of passengers at curbside bus stops in a developing country.
Presented at the 20th International Conference of Hong Kong Society for Transportation Studies
(HKSTS), Hong Kong
Extended Abstracts
1. Sinha, A., Chand, S., Chen, H., Dixit, V., Wijayaratna, K., 2019.
An exploratory investigation of crash severity of autonomous vehicles. Presented at the 2nd Annual TRANSW Symposium, Sydney, New South Wales, Australia.
2. Cunningham, M.L., Wijayaratna, K.P., Regan, M.A., Dixit, V.V., Jian, S., Hassan, A., Chand, S., 2018.
Mobile phone distraction: understanding the inconsistencies between simulator and naturalistic driving study findings. Presented at the 4th Australasian Road Safety Conference, Sydney, New South Wales, Australia.
3. Chand, S., Hassan, M.N., Rashidi, T.H., Dixit, V.V., 2016. Inappropriate stopping behaviour of bus
drivers at curbside bus stops. Presented at the 6th International Conference on Traffic and Transport
Psychology (ICTTP), Brisbane, Australia.
4. Hassan, M.N., Chand, S., Rashidi, T.H., Dixit, V.V., 2016. Consequence of inappropriate stopping at bus
stops: Decision making of the upstream motorists. Presented at the 6th International Conference on
Traffic and Transport Psychology (ICTTP), Brisbane, Australia.
5. Saxena, N., Chand, S., Duell, M., Waller, S.T., 2016. Bus dwell time prediction using proxy variables
from a dynamic traffic assignment model. Presented at the 6th International Symposium on Dynamic
Traffic Assignment (DTA), Sydney, Australia.
6. Chand, S., Saxena, N., Amini, N., Duell, M., Grzybowska, H., Waller, S.T., 2015. Regional dynamic traffic
assignment model for Sydney: Lessons learnt in developing input data. Presented at the 37th
Australasian Transport Research Forum (ATRF), Sydney, Australia.
7. Chand, S., Chandra, S., 2014. Traffic flow analysis on 4-lane divided urban roads with bus stop.
Presented at the 11th International Conference on Transportation Planning and Methodologies for
Developing Countries (TPMDC), Mumbai, India.
PROJECTS
1. Willingness to Pay: Stage 4 Road Reliability Measurement for incorporation into ATAP Guidelines.
2. Feasibility of Rapid Planning for Transport Infrastructure Evaluation.
3. Managing Traffic and Transport with Crowdsourced Data.
4. Research and Education in Traffic Engineering for Indonesia.
5. Traffic Modelling Services for Hi-Tech City in Hyderabad.
6. Traffic Modelling Services for Muscat City.
7. Evaluation of Transport Networks Using Crowdsourced Traffic Data.
8. Nudging Strategies for Non-Pricing Transport Demand Management.
9. Mobile Phone Distractions.
10. A Collaboration to Develop and Deploy Novel Integrated Network Techniques to Enhance the NSW Transport System.
11. Understanding the Impact of Autonomous Vehicles on Driver Behaviour.
STUDENTS
Doctor of Philosophy
1. Sinha, A., 2021. Safety of Autonomous Driving Systems.
2. Piyush Purshottam Lalwani - Present.
3. Mehrab Nazir - Present.
Master of Engineering
1. Njoteah, C. N., 2020. Fractal analysis of city-structure.
2. Li, P., 2020. Application of chaos theory for modelling motorway traffic dynamics.
3. Chen, H., 2019. Examining driver behaviour in the context of autonomous vehicles.
4. Liu, T., 2019. Using crowdsourced traffic data for predicting crashes.
5. Zhang, X., 2019. Factors affecting the duration of vehicle breakdowns.
6. Li, Q., 2019. Analysing trends in air travel in Australia.
7. Zhao, T., 2018. The application of entropy in motorway travel speed data analysis.
Bachelor of Engineering
1. Samaranayake, S., 2022. Assessing the impacts of connected and autonomous vehicles on travel
time reliability.
2. Lee, K., 2021. Evaluation of transport equity.
3. Yee, E., 2021. Impact of Covid-19 on road safety.
4. Shiu, J., 2021. The impacts of zonal configuration on the accuracy of traffic assignment results.
5. Vu, V., 2020. Analysing the trends in disengagement and crashes involving autonomous vehicles.
6. Boparoy, J., 2020. Modelling resiliency of transportation networks using crowdsourced data.
7. Bassil, D., 2020. Modelling the safety and performance impacts of autonomous buses and cars
using microsimulation.
8. Li, Z., 2020. Analysis of the impacts of macro-level factors on traffic incident frequency and
duration.
9. Wen, J., 2020. Analysis of transport network structure and travel time reliability.
10. Gu, C., 2019. Assessing traffic congestion patterns using crowdsourced data.
11. Chou, K., 2017. Socioeconomic equity impacts of incident duration on NSW Roads
