Portal and cantilever signs/signals gantries. Version 1.1.0

DMRB: Highway Structures and Bridges CD 365 Version 1.1.0

National Highways, 2025
Portal and cantilever signs/signals gantries. Version 1.1.0 Download document

Document Status

Current

Supplement

Civil & Structural Supplement

Series

DMRB: Highway Structures and Bridges

Abstract

For the design, selection, appearance factors, limit state design, actions and performance criteria for portal and cantilever sign and/or signal gantries, aligned to Eurocodes.

History

Highway structures and bridges. Design. Supersedes CD 365 Revision 1. Portal and cantilever signs/signals gantries (formerly BD 51/14, IAN 193/16, BE 7/04) (HE, 2020). Version 0 - dated March 2019 - replaces BD 51/14, IAN 196/16 and BE 7/04. Version 1 - dated March 2020 - updates references. Version 1.1.0 - dated September 2025 - detailing consequential updates due to the rewrite of the MCHW.

Subjects

  • Roads
  • Transport facilities
  • Civil engineering, infrastructure and public utilities
  • Traffic signals

Publisher History

National Highways is an executive non-departmental public body, sponsored by the Department for Transport. It has responsibility for operating, maintaining and improving motorways and major A roads in England. Formerly known as Highways England, between 2015-2021 and Highways Agency, between 1994-2015.

Information

NBS

NBS has produced specification systems and information products for construction industry professionals for more than 40 years. The National Building Specification is the recognised UK national standard and is used by over 5,000 organisations. NBS is part of RIBA Enterprises Ltd.

Accuris

We connect trusted knowledge to customers' workflows – mitigating risk, increasing efficiency and accelerating innovation For more than 60 years, leading R&D and engineering-intensive organizations have relied on us to achieve on-time, on-budget delivery of complex projects and new products. We deliver an unparalleled combination of technical content and Artificial Intelligence (AI) technologies to surface answers from the vast universe of technical knowledge, both inside and outside the organization. In a single interface, we connect the dots between information scattered across many different sources, allowing technical professionals to make better, more informed decisions faster.