TY  - JOUR
PY  - 2015//
TI  - Golden ratio genetic algorithm based approach for modelling and analysis of the capacity expansion of urban road traffic network
JO  - Computational intelligence and neuroscience
A1  - Zhang, Lun
A1  - Zhang, Meng
A1  - Yang, Wenchen
A1  - Dong, Decun
SP  - 512715
EP  - 512715
VL  - 2015
IS  - 
N2  - This paper presents the modelling and analysis of the capacity expansion of urban road traffic network (ICURTN). Thebilevel programming model is first employed to model the ICURTN, in which the utility of the entire network is maximized with the optimal utility of travelers' route choice. Then, an improved hybrid genetic algorithm integrated with golden ratio (HGAGR) is developed to enhance the local search of simple genetic algorithms, and the proposed capacity expansion model is solved by the combination of the HGAGR and the Frank-Wolfe algorithm. Taking the traditional one-way network and bidirectional network as the study case, three numerical calculations are conducted to validate the presented model and algorithm, and the primary influencing factors on extended capacity model are analyzed. The calculation results indicate that capacity expansion of road network is an effective measure to enlarge the capacity of urban road network, especially on the condition of limited construction budget; the average computation time of the HGAGR is 122 seconds, which meets the real-time demand in the evaluation of the road network capacity.<p />  <p>Language: en</p>
LA  - en
SN  - 1687-5265
UR  - http://dx.doi.org/10.1155/2015/512715
ID  - ref1
ER  -