A stochastic programming approach for heterogeneous variable message sign location problem for freeway networks

Author(s):  
Guowei Zhang ◽  
Ning Zhu ◽  
Shiquan Zhong ◽  
Shoufeng Ma ◽  
Shanshan Han
2020 ◽  
Author(s):  
Eyyüb Y. Kıbış ◽  
I. Esra Buyuktahtakin ◽  
Robert G. Haight ◽  
Najmaddin Akhundov ◽  
Kathleen Knight ◽  
...  

2018 ◽  
Vol 52 (3) ◽  
pp. 779-805 ◽  
Author(s):  
Vedat Bayram ◽  
Hande Yaman

Shelter location and traffic allocation decisions are critical for an efficient evacuation plan. In this study, we propose a scenario-based two-stage stochastic evacuation planning model that optimally locates shelter sites and that assigns evacuees to nearest shelters and to shortest paths within a tolerance degree to minimize the expected total evacuation time. Our model considers the uncertainty in the evacuation demand and the disruption in the road network and shelter sites. We present a case study for a potential earthquake in Istanbul. We compare the performance of the stochastic programming solutions to solutions based on single scenarios and mean values.


2013 ◽  
Vol 45 (10) ◽  
pp. 1059-1076 ◽  
Author(s):  
Prattana Punnakitikashem ◽  
Jay M. Rosenberber ◽  
Deborah F. Buckley-Behan

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