Mott MacDonald

About: Mott MacDonald is a company organization based out in London, United Kingdom. It is known for research contribution in the topics: Electric power system & Wind power. The organization has 586 authors who have published 529 publications receiving 9801 citations. The organization is also known as: Mott MacDonald Group & MMD.

Prediction of flow around a sharp-nosed bridge pier: influence of the Froude number and free-surface variation on the flow field

Abstract: This study investigates the influence of free-surface variation on the velocity field using numerical simulations of flow around a sharp-nosed pier that is representative of a typical masonry bridg...

Digital Transformation of Modern Airports by Exploiting Fog as a Service Model

Abstract: Fog as a Service (FaaS) is an economical variant of fogging that provisions a decentralize cloud, which can be shared by multiple tenants. It is agile, secure, and brings intelligence and processing closer to a sequential network. Such peculiar traits have piqued the curiosity of author in exploiting FaaS prototype for revolutionizing the design of Airport Information Management Systems (AIMS). AIMS is an assembly of exclusive information technology (IT) systems that are deployed to enhance the functionality of modern airports. These systems not only facilitate in routine airlines/airport operations, but also enrich passengers travelling experience. This research is an attempt to explicate the AIMS architecture, which is bound to lay down the foundations for conceptualizing a fully integrated smart airport. The work is limited to airline and airfield systems, airport IT and administration systems. The focal point of AIMS blueprint is a resilient fog mesh. The FaaS model resides at the core of Fog-Airport Operational Database (F-AODB) and its corresponding fog nodes. The networking nodes in FaaS domain forward the aggregated data to F-AODB via Information Broker (IB). The role of IB is to interface zero tolerance systems locally. The research methodology also signifies AIMS design criteria, system dependencies, codes and standards. The study reaches its climax by anticipating the shortfalls on the prevailing design of AIMS network. A qualitative analysis conclude that the propositions laid down in this work will provide a solid baseline for digital transformation of modern airports.

Geospatial assessment methods for geotechnical asset management of legacy railway embankments

Abstract: Most British railway embankments were constructed between 120 and 180 years ago without the benefit of modern design and construction methods. This can result in undesirable load-deformation characteristics and consequent disruption to present-day railway operations, for which there is unprecedented demand. Annual rail passenger kilometres have approximately doubled in the last 20 years and freight has increased by 60% over the same period. Whereas elements such as rails or bridges can be refurbished or replaced to meet increasing demand, the same is not usually feasible for embankments. Development of techniques to assess embankment performance risks posed by operational capacity enhancements is therefore of increasing significance to railway geotechnical asset management. The two case studies presented in this paper demonstrate how geospatial analysis and data management techniques may be applied to this challenge at both strategic (regional or national) and tactical (site-specific) scales for embankments incorporating plastic clay fill. The case studies also demonstrate, in a world of ever more abundant data, the growing need for engineering geologists and geotechnical engineers to augment their traditional knowledge with comprehensive data management and geospatial analysis skills, these being essential for modern infrastructure asset management. Thematic collection: This article is part of the ‘Ground-related risk to transportation infrastructure’ collection available at: https://www.lyellcollection.org/cc/Ground-related-risk-to-transportation-infrastructure

Origin-destination matrix estimation for the active traffic management project

Abstract: The Highways Agency (HA) is developing the concept of Active Traffic Management (ATM) schemes which will coordinate operational regimes such as controlled use of the hard shoulder as a running lane, variable speed limits and ramp metering. The pilot ATM scheme is planned to be implemented on the eastern section of the M42 between Junctions 3a and 7 by 2006. To ensure the success of all these measures, and to enable the network to be managed safely and effectively, knowledge of the behaviour of the traffic on the network is vital. Origin-destination (OD) demand matrices are at the core of this information, but direct monitoring of trips is at present expensive and unreliable. The principal data sources available to traffic management systems remain inductive loops, which will provide dense coverage on the ATM section with 100m spacing, as compared with 500m spacing on the M25. The new and enhanced methods of dynamic origin-destination matrix estimation (ODME) developed in this project are designed to exploit this and to. support the sophisticated real-time control systems on the section. This paper describes the methods and results of the project conducted in three phases.