Dr Jianlin Luan is a Research Associate at Urban System Lab, Centre for Transport Studies, Imperial College London. He obtained a PhD on investigating cooperation strategies for local traffic authorities and in-vehicle route guidance service providers, which is based on analytical modelling of road networks and choice behaviours and metaheuristic optimisation methods. During his PhD, he has also taken part in several research projects, in which he mainly conducted massive dataset process and integration. He also holds a BA in Information Management and Information Systems from Dalian University of Technology (China) and an MSc in Computer Science (Distinction) from Imperial College London.
Dr Luan has extensive experience in the application of computer science technologies, including big data analysis, machine learning, clustering algorithms and metaheuristics optimisation techniques on transport management topics.
In recent years, Dr Luan has led the model and solution development for several projects, collaborating with multiple government, industrial and academic partners, especially in the fields of traffic demand modelling and management and collaborative freight logistics. He led the development of machine learning based traffic status prediction models for the oneTransport project that is funded by Innovate UK. He has also taken the main role for the big data processing and analysis for CityOrbit (an Imperial Innovation funded start-up). He is responsible for the model development for the dynamics O-D estimation project in collaboration with Tsinghua University. Currently, Dr Luan is leading the development of the trailer sharing planner for the Denmark Innovation Fund funded DiRECTLY (Databased REal-time CollaboraTive Logistics sYstem) project.
Luan J, Polak J, Krishnan R, 2019, The structure of public-private sector collaboration in travel information markets: A game theoretic analysis, Transportation Research Part A-policy and Practice, Vol:129, ISSN:0965-8564, Pages:19-38
Luan J, Polak J, Krishnan R, A Framework for Evaluating Cooperation Strategies for the Local Traffic Authority and Route Guidance Service Providers, Transportation Research Board 95th Annual Meeting