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Article
Publication date: 3 May 2016

Andy Chow

This paper aims to present collection and analysis of heterogeneous urban traffic data, and integration of them through a kernel-based approach for assessing performance of urban…

Abstract

Purpose

This paper aims to present collection and analysis of heterogeneous urban traffic data, and integration of them through a kernel-based approach for assessing performance of urban transport network facilities. The recent development in sensing and information technology opens up opportunities for researching the use of this vast amount of new urban traffic data. This paper contributes to analysis and management of urban transport facilities.

Design/methodology/approach

In this paper, the data fusion algorithm are developed by using a kernel-based interpolation approach. Our objective is to reconstruct the underlying urban traffic pattern with fine spatial and temporal granularity through processing and integrating data from different sources. The fusion algorithm can work with data collected in different space-time resolution, with different level of accuracy and from different kinds of sensors. The properties and performance of the fusion algorithm is evaluated by using a virtual test bed produced by VISSIM microscopic simulation. The methodology is demonstrated through a real-world application in Central London.

Findings

The results show that the proposed algorithm is able to reconstruct accurately the underlying traffic flow pattern on transport network facilities with ordinary data sources on both virtual and real-world test beds. The data sources considered herein include loop detectors, cameras and GPS devices. The proposed data fusion algorithm does not require assumption and calibration of any underlying model. It is easy to implement and compute through advanced technique such as parallel computing.

Originality/value

The presented study is among the first utilizing and integrating heterogeneous urban traffic data from a major city like London. Unlike many other existing studies, the proposed method is data driven and does not require any assumption of underlying model. The formulation of the data fusion algorithm also allows it to be parallelized for large-scale applications. The study contributes to the application of Big Data analytics to infrastructure management.

Details

Journal of Facilities Management, vol. 14 no. 2
Type: Research Article
ISSN: 1472-5967

Keywords

Article
Publication date: 1 April 1993

Duncan Florence and Christopher Queree

Changes in legislation, congestion problems and the continuingdrive to improve supply chain profitability are being addressed by newtechnologies. The part of the logistics cycle…

Abstract

Changes in legislation, congestion problems and the continuing drive to improve supply chain profitability are being addressed by new technologies. The part of the logistics cycle that is now the focus of attention is supply chain traceability, particularly the tracking and traceability of transport, personnel and goods. The new technologies that are being brought to bear on supply chain traceability include, Mobile Data, Automatic Vehicle Identification (AVL), Global Positioning Systems (GPS), consignment tracking, etc. These technologies have now reached maturity in their technical development and are being effectively incorporated into business processes. Provides an overview of the technical status and future prospects of these technological developments and argues the business case for and against traceability. Also assesses the key market sectors in which these technologies will have an impact and suggests that a “building bricks” approach is taken to incorporating the technologies into re‐engineered business processes.

Details

Logistics Information Management, vol. 6 no. 4
Type: Research Article
ISSN: 0957-6053

Keywords

Article
Publication date: 1 January 2006

Carlos Conceicao

This paper aims to explore the key challenges faced by regulators following the implementation of the market abuse directive (MAD) in developing a consistent approach to tackling…

520

Abstract

Purpose

This paper aims to explore the key challenges faced by regulators following the implementation of the market abuse directive (MAD) in developing a consistent approach to tackling market abuse. The paper seeks to argue that how regulators respond to these challenges will have a significant impact on the success of the key objectives of MAD, which is to foster a cross‐border regime with common standards of market conduct.

Design/methodology/approach

An observation by the author which looks at the areas in which regulators need to develop greater cross‐border co‐operation.

Findings

Suggests that, notwithstanding the introduction of MAD, there are substantial differences in the way European regulators tackle market abuse.

Originality/value

A useful summary of the implications of MAD on European regulators and how they might be addressed.

Details

Journal of Financial Regulation and Compliance, vol. 14 no. 1
Type: Research Article
ISSN: 1358-1988

Keywords

Article
Publication date: 1 December 2005

Richard Burger and George Davies

This paper summarises the FSA's enforcement action taken to date under the market abuse regime and considers how the implementation of the Market Abuse Directive (‘MAD’) will…

Abstract

This paper summarises the FSA's enforcement action taken to date under the market abuse regime and considers how the implementation of the Market Abuse Directive (‘MAD’) will affect the work of city compliance officers. In particular, this paper focuses on the new requirement for the regulated sector to make suspicious transaction reports in respect of market abusive behaviour as well as considering how the newly revamped market abuse regime will sit alongside the criminal offence of insider dealing.

Details

Journal of Financial Regulation and Compliance, vol. 13 no. 4
Type: Research Article
ISSN: 1358-1988

Keywords

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