Imperial College London

Dr Ke Han

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Senior Lecturer



+44 (0)20 7594 5682k.han Website CV




Mrs Maya Mistry +44 (0)20 7594 6100




605Skempton BuildingSouth Kensington Campus






BibTex format

author = {Han, K},
doi = {10.3141/2658-05},
journal = {Transportation Research Record},
pages = {35--43},
title = {Framework for Real-Time Traffic Management with Case Studies},
url = {},
volume = {2658},
year = {2017}

RIS format (EndNote, RefMan)

AB - This paper focuses on real-time traffic management facilitated by modern telecommunication technologies and advanced real-time optimization algorithms. The discussion begins with a recent European project that provides a real-time decision support system for the reduction of traffic congestion and emissions. The work ow and techniques involved therein are explained and issues and potential gaps identi ed. A more generic real-time decision-making framework based on decision rules and distributionally robust optimization is then introduced. The paper illustrates the wide applicability and unique advantages of such a framework with case studies on responsive signal control, use of an adaptive variable message sign, and air traffic management.
AU - Han,K
DO - 10.3141/2658-05
EP - 43
PY - 2017///
SN - 0361-1981
SP - 35
TI - Framework for Real-Time Traffic Management with Case Studies
T2 - Transportation Research Record
UR -
UR -
VL - 2658
ER -