IET Intelligent Transport Systems
Print ISSN
1751-956X
Online ISSN 1751-9578
Online ISSN 1751-9578
IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following:
Information collection and processing; In-vehicle ITS, safety and vulnerable road user aspects; ITS aspects of electric vehicles; Public transport; Demand management and electronic payment systems; Traffic management; Fleet and public transport logistics; Emergency and incident management; Policy and institutional issues; Interoperability, standards and architectures; Deployment and evaluation; Sustainability and environmental issues; Funding scenarios; Enforcement; Human machine interaction; Education, training and outreach; Deployments with enabling technologies.
This publication was previously known as IEE Proceedings - Intelligent Transport Systems 2006-2006. ISSN 1748-0248. more..
Volumes & issues:
Latest content
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Feasibility of expanding traffic monitoring systems with floating car data technology
- Author(s): W. Vandenberghe; E. Vanhauwaert; S. Verbrugge; I. Moerman; P. Demeester
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p.
347
–354
(8)
Trajectory information reported by certain vehicles (Floating Car Data or FCD) can be applied to monitor the road network. Policy makers face difficulties when deciding to invest in the expansion of their infrastructure based on inductive loops and cameras, or to invest in a FCD system. This paper targets this decision. The provided FCD functionality is investigated, minimum requirements are determined and reliability issues are researched. The communication cost is derived and combined with other elements to assess the total costs for different scenarios. The outcome is to target a penetration rate of 1%, a sample interval of 10 seconds and a transmission interval of 30 seconds. Such a deployment can accurately determine the locations of incidents and traffic jams. It can also estimate travel times accurately for highways, for urban roads this is limited to a binary categorization into normal or congested traffic. No reliability issues are expected. The most cost efficient scenario when deploying a new FCD system is to launch a smartphone application. For Belgium, this costs 13 million EUR for 10 years. However, it is estimated that purchasing data from companies already acquiring FCD data through their own product could reduce costs with a factor 10.
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Techno-economic assessment of the potential of intelligent transport systems to reduce CO2 emissions
- Author(s): V. Psaraki; I. Pagoni; A. Schafer
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p.
355
–363
(9)
This study assesses the technical feasibility, economic affordability and social acceptability of low-greenhouse gas (GHG) emissions intelligent transport systems (ITS) that could be implemented in the European road infrastructure over the next 40 years for passenger and freight traffic. Three ITS applications are considered: driver assistance systems and the automated highway system (AHS) for passenger traffic and commercial vehicle operations for freight traffic. These technologies are anticipated to lead to a more efficient use of the existing road network, while potentially reducing GHG emissions generated by vehicles. The impact of ITS on road capacity and vehicle's CO2 emissions is determined. Assessment is based on a reference system, which consists of the average new vehicle in the road network of the EU-27 countries. The various opportunities offered by the selected ITS technologies are specified and the major constraints for reducing GHG emissions are identified. Cost-effectiveness and sensitivity analysis is carried out. The results are validated by a suitably designed expert-based survey. It is found that ITS have the potential to improve capacity and reduce emissions. The most significant benefits are offered by the deployment of AHS. Social acceptability issues such as privacy and liability need to be further addressed to facilitate wide deployment of ITS.
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Method to detect malfunctioning traffic count stations
- Author(s): J. de Oña; P. Gómez; E. Mérida-Casermeiro
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p.
364
–371
(8)
This study presents a method for the automatic detection of malfunctioning traffic count stations (TCS) in a transport system. First, double linear optimisation is used to detect inadmissible errors in the recordings of a series of TCS and next, the TCS that are most likely to be failing are identified. The method has been applied to an urban traffic network showing success rates up to 93% in identifying the TCS that are failing.
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Coordinate model predictive control with neighbourhood optimisation for a signal split in urban traffic networks
- Author(s): X. Zhou; Y. Lu
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p.
372
–379
(8)
It has been recognised that a model predictive control (MPC) approach can be successfully applied to many areas in the signal control of urban traffic networks. In this study, the authors propose a novel distributed MPC algorithm with decomposition of the signal control problem in the urban traffic networks. The objective of each subsystem takes into account the information of neighbouring subsystems, being this way affected by their non-local decisions. The proof is also given to show that the solution of the new approach will converge to a global optimum after adequate iterations. Moreover, the simulation result shows that our method solves the problem with an acceptable solution performance.
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Micro-routing using accurate traffic predictions
- Author(s): R. Blokpoel; J. Vreeswijk; D. Leistner
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p.
380
–387
(8)
This study presents a new way of routing vehicles through a network. Current routing algorithms base their advice on measurements of probe vehicles and sometimes do predictions based on historical data. However, if all vehicles would follow up that advice, those predictions would not be valid anymore. As a result, oscillations could arise, in turn causing traffic jams. The micro-routing algorithm presented in this study takes previous advice into account for the next advice and is able to interact with traffic light control programmes. In simulation, a reduction of travel time up to 30% and a reduction in the number of stops up to 46% were achieved without any oscillations. This shows high potential for solving congestion and reducing CO2 emissions. Furthermore, a brief review of literature on route choice behaviour and driver response to route advice gives the reader some insight into driver compliance factors. As the major requirements of high reliability, predicted information and prescriptive information are met, also from a compliance perspective the micro-routing algorithm is expected to be effective.
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Method for quantitative valuation of road freight transport telematic services
- Author(s): G. Mbiydzenyuy; J.A. Persson; P. Davidsson; P.O. Clemedtson
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p.
388
–396
(9)
This study describes transport telematic services (TTSs) for road-based heavy goods vehicle (HGV) transport and suggests a method for assessing the societal value of different TTSs. For decision making related to the selection of services to promote by potential investors, for example, governmental organisations and service providers, quantified service value can simplify the decision process by enabling comparison between TTSs. Moreover, these values can serve as inputs to quantitative analysis of service architectural system designs. The authors suggest a method for assessing the societal values of TTSs using potential saving indicators (PSIs), estimated in the context of Swedish HGV freight transport. To illustrate the proposed method, 32 services are analysed, and their societal values were quantified and compared for the Swedish HGV market. Results based on estimated values of PSIs and potential percentage savings indicate the following HGV-based TTSs to be of high societal potential: transport resource optimisation, dynamic traffic information, navigation, road hindrance warning, theft alarm and recovery, accident warning information, intelligent speed adaptation, eCall, en-route driver information, transport order handling, road user charging and sensitive goods monitoring.
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Effects of manually entering navigator destinations while driving in a simulator
- Author(s): P.M. Valero Mora; M.L. Ballestar Tarín; A. Tontsch; I. Pareja Montoro; M. Sánchez García
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p.
397
–403
(7)
Distraction is regarded as one of the most important sources for traffic accidents, being a contributing factor in about 10–12% of accidents according to traditional crash studies. The use of electronic devices inside the car is a source of driver distraction that has generated a big concern in recent times. One major negative consequence of the in-vehicle use of these devices is a decrease of attention to stimuli in traffic. In order to study the consequences on driving performance, 43 subjects drove the driving simulator SIMUVEG while introducing directions in a navigator. Drivers’ capability of keeping longitudinal and lateral control of the vehicle as well as awareness of the road scene was evaluated in this sample of drivers. Analysis of the measures revealed significant reduction of lateral and longitudinal control and of awareness of the visual environment, providing evidence of the negative consequences of interacting with electronic devices while driving.
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Agent-based test-bed for road information systems
- Author(s): V.R. Tomás; I. Martí; A. Sáez; J.J. Martínez
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p.
404
–412
(9)
Road safety is one of the most important concerns of road authorities. In order to improve road safety, traffic managers develop traffic management and control strategies. The use of advanced traffic management systems is to support road managers in daily traffic management tasks. However, it is important to test in advance, the traffic strategies to evaluate the results and their suitability to the current situation. In this study, a test-bed based on multi-agent is presented. The purpose of this test-bed is to be able to test several traffic information strategies in case of adverse weather situations. It consists in a knowledge model implemented by a set of basic agents. These agents are easily configurable and extensible to aid in-depth research in this field. The test includes agents to control variable message signal, weather stations, data collection stations etc. The test-bed interface is based on Google maps providing a realistic environment that facilitates the implementation of the tested strategies in the real world.
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Detection of human presence in a vehicle by vibration analysis
- Author(s): R. Ranta; Y. Decoster; P. Orlewski
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p.
413
–420
(8)
The aim of this study is to propose a complete instrumentation and signal processing method able to detect the presence of a person seated on the rear bench of a vehicle. The sensor is based on a piezoelectric film (EMFI sensor), designed to detect mechanical vibrations. In order to avoid confusion between humans and heavy objects or empty seats, the authors focused on the extraction of a biological signature from the acquired signals. This physiological pattern was extracted using an original wavelet denoising algorithm and was used further as a matched filter, in order to detect human presence in the vibration signals. Physiologically significant features were extracted from the output of the (on-line) filtering process and fed further-on into a classical Bayes-based classifier. After training, the proposed method yielded very promising results, the output of the classifier being almost error-free for different acquisition conditions (stopped and on-road vehicle, new and artificially aged sensor).
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Focal design issues affecting the deployment of wireless sensor networks for intelligent transport systems
- Author(s): G. Owojaiye; Y. Sun
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p.
421
–432
(12)
Wireless sensor networks (WSN) are a target technology for intelligent transport systems (ITS) because they offer benefits of low-cost, simple installation and ease of deployment. In order for WSN to achieve trademark performance in traffic monitoring, and compete effectively with present day traffic surveillance systems, certain design requirements must be met. In this study, the authors identify vital design issues that must be considered to facilitate deployment of WSN for traffic monitoring. The authors classify these design issues into four different categories namely, sensing modality, power conservation, network reliability and security. The authors conduct their investigation via extensive study of the recent literature and comprehensive survey of existing WSN-based ITS technologies. The authors conclude each discussion by presenting open research issues. The authors then discuss two promising application areas for traffic monitoring WSN namely, active traffic management and integrated traffic management.
