Integrated strategic performance toolkit for cooperative scheme comparisons in inter-urban intelligent transport services

A high level objective for many international governments and local operators is that highways should be managed in a way that is sustainable in terms of a Low Carbon Energy future. Recent initiatives such as the Strategic Transport Technology Plan and the policy and legal framework promoted by the European Commission’s ITS Directive and ITS Action Plan may assist with this requirement. However, many levels of complexity are inherent within the Intelligent Transport System (ITS) schemes that are now part of highway management, due to the linkage of various technological components to complex systems and services. Maintaining efficient, sustainable co-operative performance is therefore a major task, with inconsistencies between product suppliers, network managers and operators. It is of great interest to road operators in particular that enhanced policy and technological alignment in the form of an inter-scheme comparison matrix should be created. This paper proposes an integrated strategic performance management framework (ITS-PMF) which can perform inter-technological comparisons of four key performance areas between ITS schemes in order to identify energy and emission hotspots. Appropriate action can then be taken to improve the energy and sustainable management of ICT and transport systems for the benefit of a smarter, sustainable and efficient future.

[1]  R. Murray,et al.  Robust connectivity of networked vehicles , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[2]  L. Phillips,et al.  Multi-criteria analysis: a manual , 2009 .

[3]  Karel Brookhuis,et al.  Towards defining a unified concept for the acceptability of Intelligent Transport Systems (ITS): A conceptual analysis based on the case of Intelligent Speed Adaptation (ISA) , 2010 .

[4]  Brenda Vale,et al.  How far are kyoto protocol and carbon neutrality away from us? — A case study of Auckland‘s transport , 2009 .

[5]  Stephen Ruth,et al.  Green IT More Than a Three Percent Solution? , 2009, IEEE Internet Computing.

[6]  San Murugesan,et al.  Harnessing Green IT: Principles and Practices , 2008, IT Professional.

[7]  Chandrakant D. Patel,et al.  Assessing ICT's Environmental Impact , 2009, Computer.

[8]  Tara Ramani,et al.  A Guidebook for Sustainability Performance Measurement for Transportation Agencies , 2011 .

[9]  David F. Pyke,et al.  Electric vehicles: The role and importance of standards in an emerging market , 2010 .

[10]  Seungdo Kim,et al.  Climate change and ICTs , 2009, INTELEC 2009 - 31st International Telecommunications Energy Conference.

[11]  S E Shladover,et al.  Automated vehicles for highway operations (automated highway systems) , 2005 .

[12]  Thomas H. Tietenberg 1. The Evolution of Emissions Trading , 2010 .

[13]  J.M.H. Elmirghani,et al.  Green information and communication technology: energy efficiency in a motorway model , 2010, IET Commun..

[14]  Toni Ahlqvist,et al.  Is the transport system becoming ubiquitous? Socio-technical roadmapping as a tool for integrating the development of transport policies and intelligent transport systems and services in Finland , 2010 .

[15]  Ashwin Amanna,et al.  Experimental testbed for investigating IEEE 802.11 handoff in vehicular environment , 2010, Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon).

[16]  Milan Dado,et al.  Present and future challenges of ICT for intelligent transportation technologies and services , 2009, 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology.

[17]  Ho-Jin Lee,et al.  Cross-Layer Congestion Control for Power Efficiency Over Wireless Multihop Networks , 2009, IEEE Transactions on Vehicular Technology.

[18]  Alexander Skabardonis,et al.  Intelligent Transport Systems , 2009 .

[19]  Maxim Raya,et al.  The security of vehicular ad hoc networks , 2005, SASN '05.

[20]  Aidan Holt,et al.  Assessing ‘carbon balance’ of intelligent transport schemes , 2008 .

[21]  Geoff Staples,et al.  Raising Awareness of Green IT - The BCS Way , 2009 .

[22]  Lachlan L. H. Andrew,et al.  Performance Analysis of Best-Effort Service in Saturated IEEE 802.16 Networks , 2010, IEEE Transactions on Vehicular Technology.

[23]  Andreas Sumper,et al.  Electrical vehicles: State of art and issues for their connection to the network , 2009, 2009 10th International Conference on Electrical Power Quality and Utilisation.

[24]  Jaume Barceló,et al.  Microscopic traffic simulation: A tool for the design, analysis and evaluation of intelligent transport systems , 2005, J. Intell. Robotic Syst..

[25]  Alan Stevens THE APPLICATION AND LIMITATIONS OF COST-BENEFIT ASSESSMENT (CBA) FOR INTELLIGENT TRANSPORT SYSTEMS. IN: ECONOMIC IMPACTS OF INTELLIGENT TRANSPORTATION SYSTEMS: INNOVATIONS AND CASE STUDIES , 2004 .

[26]  Keisuke Okada,et al.  Greenhouse gas emissions and the role of the Kyoto Protocol , 2014 .

[27]  Mohamed Amine 34th Annual IEEE Conference on Local Computer Networks - (LCN 2009) , 2009 .

[28]  Kenneth J. Christensen Green networks: Opportunities and challenges , 2009, LCN.

[29]  J.M. Pedersen,et al.  Strategies for the next generation green ICT infrastructure , 2009, 2009 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies.

[30]  Ramjee Prasad,et al.  Performance analysis of a communication network for intelligent transport systems , 1995, Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future.