Prof Benjamin Heydecker
The Centre for Advanced Spatial Analysis (CASA) is one of the leading forces in the science of cities, generating new knowledge and insights for use in city planning, policy and design and drawing on the latest geospatial methods and ideas in computer-based visualisation and modelling. We are part of The Bartlett: UCL's global faculty of the built environment.
Profile
Biography
Benjamin Heydecker’s research lies in developing mathematical and statistical analyses in transport studies. He has pursued this along three broad themes within the field of transport studies:
o Transport safety, including the analysis and interpretation of road accident data,
o Traffic management and control, including real-time information, management and control systems with a view to promoting cooperative usage, and
o Transport planning methods, including dynamic transport modelling and discrete choice methods.
The interrelationships between these themes, and between each of them and methodologies for estimation, design and management are of special interest to him. He is currently exploring opportunities presented by emerging information and communications technoclogy to promote cooperation among users, between users and they transport system, and among components components of the transport system. He serves on the editorial boards of the Networks and Spatial Economics, Sustainable Transportation and Transportmetrica journals. He is a Fellow of the Institution of Mathematics and its Applications, Fellow of the Royal Statistical Society, Fellow of the Transport Research Foundation and Member of the Chartered Institution of Highways and Transportation.
Research Summary
Recent Research
Dynamic Analysis of Road Traffic Flow. Understanding of flow breakdown and other dynamic traffic phenomena on busy motorways, and to establish ways in which this can be modelled so that active traffic management measures can be developed.
Distributed Adaptive Control for Traffic Signal Systems. Development of a novel approach to on-line signal control of road traffic using learning classifier systems.
SIGSIGN research. Development of research software for design of signal-controlled road junctions.
Analysis of trajectories of stacking aircraft for enhanced short term conflict alert.
Analysis of crash and casualty record at road safety cameras operating under cost recovery.
Development of a harmonised research programme for information and communications technology (ICT) in cooperative traffic management.
Research outputs
1, 2, 3, 4, 5, 6, 7, 8, 9
