Imperial College London

Dr Ke Han

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Senior Lecturer
 
 
 
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Contact

 

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

 
 
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Assistant

 

Mrs Maya Mistry +44 (0)20 7594 6100

 
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Location

 

605Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Wang:2018:10.1016/j.trb.2018.03.011,
author = {Wang, Y and Szeto, WY and Han, K and Friesz, TL},
doi = {10.1016/j.trb.2018.03.011},
journal = {Transportation Research Part B: Methodological},
pages = {370--394},
title = {Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications},
url = {http://dx.doi.org/10.1016/j.trb.2018.03.011},
volume = {111},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The fact that road transportation negatively affects the quality of the environment and deteriorates its bearing capacity has drawn a wide range of concerns among researchers. In order to provide more realistic traffic data for estimations of environmental impacts, dynamic traffic assignment (DTA) models have been adopted in transportation planning and traffic management models concerning environmental sustainability. This review summarizes and examines the recent methodological advances of DTA models in environmentally sustainable road transportation applications including traffic signal control concerning vehicular emissions and emission pricing. A classification of emission estimation models and their integration with DTA models are accordingly reviewed as supplementary to the existing reviews. Finally, a variety of future research prospects of DTA for environmentally sustainable road transportation research are discussed. In particular, this review also points out that at present the research about DTA models in conjunction with noise predictive models is relatively deficient.
AU - Wang,Y
AU - Szeto,WY
AU - Han,K
AU - Friesz,TL
DO - 10.1016/j.trb.2018.03.011
EP - 394
PY - 2018///
SN - 0191-2615
SP - 370
TI - Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications
T2 - Transportation Research Part B: Methodological
UR - http://dx.doi.org/10.1016/j.trb.2018.03.011
UR - http://hdl.handle.net/10044/1/59127
VL - 111
ER -