Professor Majid Sarvi


Majid Sarvi is the Chair in Transport Engineering and the Professor in Transport for Smart Cities at the University of Melbourne. He received his PhD degree in Transportation Engineering from Tokyo University (2001). He also holds a M.Eng and B.Eng degrees in Civil Engineering.

He has over 20 years of professional, academic and research experience in the areas of traffic and transport engineering. His researches are multidisciplinary with international outlook and both theoretically oriented and applied in nature. His fields of research cover a range of topics, including: crowd dynamic modelling and simulation, large-scale multimodal transport network modelling, vulnerability and optimization, as well as traffic flow theory and operations. He has been the author/co-author of over 220 refereed publications in top transportation journals and various conference and symposia proceedings. This includes 88 ISI publications listed in Scopus and 5 papers in the International symposium of Traffic and Transportation Theory (ISTTT). He currently serves on the editorial board of several journals including Transportation Research Part C, Journal of Advanced Transportation, Transportmetrica, and Journal of Transportation Letters.

Majid has served on several international research committees, the Network Modelling Committee (ADB30), Traffic Flow Theory and Characteristics Committee (AHB45), and the Emergency Evacuation Task Force of the Transportation Research Board (TRB) of the U.S. National Research Council. He is also the co-founder and co-chair of the Crowd Dynamic Modelling Subcommittee AHB45(2) of TRB.

He has extensive industry and consultancy experience. He has worked in consultancy projects in Japan, Hong Kong and Middle East (Transport Master Plan for the city of Dubai and the freight Master plan for city of Abu Dhabi). 

For the complete list of publications please see Majid’s google scholar page below:

Recent Publications

  1. Long TT, Currie G, Sarvi M. Analytical and simulation approaches to understand combined effects of transit signal priority and road-space priority measures. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES. Pergamon-Elsevier Science. 2017, Vol. 74.
  2. Haghani M, Sarvi M. Following the crowd or avoiding it? Empirical investigation of imitative behaviour in emergency escape of human crowds. Animal Behaviour. Academic Press. 2017, Vol. 124.
  3. Bagloee SA, Sarvi M, Wolshon B, Dixit V. Identifying critical disruption scenarios and a global robustness index tailored to real life road networks. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW. Pergamon-Elsevier Science. 2017, Vol. 98.
  4. Haghani M, Sarvi M. Social dynamics in emergency evacuations: Disentangling crowd's attraction and repulsion effects. Physica A: Statistical Mechanics and its Applications. Elsevier BV. 2017, Vol. 475.
  5. Haghani M, Sarvi M. Stated and revealed exit choices of pedestrian crowd evacuees. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL. Pergamon-Elsevier Science. 2017, Vol. 95.
  6. Amoh-Gyimah R, Saberi M, Sarvi M. The effect of variations in spatial units on unobserved heterogeneity in macroscopic crash models. Analytic Methods in Accident Research. 2017, Vol. 13.
  7. Asadi Bagloee S, Sarvi M, Patriksson M. A Hybrid Branch-and-Bound and Benders Decomposition Algorithm for the Network Design Problem. Computer-Aided Civil and Infrastructure Engineering. Blackwell. 2016.
  8. Bagloee SA, Sarvi M, Rajabifard A, Thompson RG, Saberi M. A solution to the road network design problem for multimodal flow. 19th IEEE International Conference on Intelligent Transportation Systems (ITSC). IEEE. 2016.
  9. Naznin F, Currie G, Sarvi M, Logan D. An empirical bayes safety evaluation of tram/streetcar signal and lane priority measures in Melbourne. TRAFFIC INJURY PREVENTION. Taylor & Francis. 2016, Vol. 17, Issue 1.
  10. Truong LT, Sarvi M, Currie G. An investigation of multiplier effects generated by implementing queue jump lanes at multiple intersections. Journal of Advanced Transportation. 2016.
  11. Naznin F, Currie G, Logan D, Sarvi M. Application of a random effects negative binomial model to examine tram-involved crash frequency on route sections in Melbourne, Australia. ACCIDENT ANALYSIS AND PREVENTION. Pergamon-Elsevier Science. 2016, Vol. 92.
  12. Shafiei S, Saberi M, Sarvi M. Application of an Exact Gradient Method to Estimate Dynamic Origin-Destination Demand for Melbourne Network. 19th IEEE International Conference on Intelligent Transportation Systems (ITSC). IEEE. 2016.
  13. Asadi Bagloee S, Sarvi M, Wallace M. Bicycle lane priority: Promoting bicycle as a green mode even in congested urban area. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE. Pergamon. 2016, Vol. 87.
  14. Gu Z, Saberi M, Sarvi M, Liu Z. Calibration of Traffic Flow Fundamental Diagrams for Network Simulation Applications: A Two-Stage Clustering Approach. 19th IEEE International Conference on Intelligent Transportation Systems (ITSC). IEEE. 2016.
  15. Jing W, Yan Y, Kim I, Sarvi M. Electric vehicles: A review of network modelling and future research needs. ADVANCES IN MECHANICAL ENGINEERING. Hindawi Publishing Corp. 2016, Vol. 8, Issue 1.

Majid Sarvi

Level: 02 Room: B205
Engineering Block B, Parkville
University of Melbourne
3010 Australia

T: +61 3 83441759

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile