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Machine learning for multi-jurisdictional optimal...
Journal article

Machine learning for multi-jurisdictional optimal traffic corridor control

Abstract

Urban traffic corridors are often controlled by more than one agency. Typically in North America, a state of provincial transportation department controls freeways while another agency at the municipal or city level controls the nearby arterials. While the different segments of the corridor fall under different jurisdictions, traffic and users know no boundaries and expect seamless service. Common lack of coordination amongst those authorities …

Authors

Jacob C; Abdulhai B

Journal

Transportation Research Part A Policy and Practice, Vol. 44, No. 2, pp. 53–64

Publisher

Elsevier

Publication Date

February 2010

DOI

10.1016/j.tra.2009.11.001

ISSN

0965-8564