Journal article

A hybrid machine-learning and optimization method for contraflow design in post-disaster cases and traffic management scenarios

Saeed Asadi Bagloee, Karl H Johansson, Mohsen Asadi

EXPERT SYSTEMS WITH APPLICATIONS | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2019

Abstract

The growing number of man-made and natural disasters in recent years has made the disaster management a focal point of interest and research. To assist and streamline emergency evacuation, changing the directions of the roads (called contraflow, a traffic control measure) is proven to be an effective, quick and affordable scheme in the action list of the disaster management. The contraflow is computationally a challenging problem (known as NP-hard), hence developing an efficient method applicable to real-world and large-sized cases is a significant challenge in the literature. To cope with its complexities and to tailor to practical applications, a hybrid heuristic method based on a machine-..

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