Intelligent transportation systems—Enabling technologies

García‐Ortiz, A.; Amin, Saurabh; Wootton, John

doi:10.1016/0895-7177(95)00127-n

Cited by 30 publications

(12 citation statements)

References 59 publications

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“…The idea of making a transport system smarter is not new. Garcia-Ortiz et al (1995), for example, has discussed how various cities have developed smarter transport systems by introducing smart technologies. More recently, the Research and Innovation Technology Administration (RITA) has defined an architectural structure for deployment of smart technologies in USA (RITA, 2007).…”

Section: Introductionmentioning

confidence: 99%

A methodological framework for benchmarking smart transport cities

Debnath

Chin

Boyle

et al. 2014

Cities

197

102

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Besides responding to challenges of rapid urbanization and growing traffic congestion, the development of smart transport systems has attracted much attention in recent times. Many promising initiatives have emerged over the years. Despite these initiatives, there is still a lack of understanding about an appropriate definition of smart transport system. As such, it is challenging to identify the appropriate indicators of 'smartness'. This paper proposes a comprehensive and practical framework to benchmark cities according to the smartness in their transportation systems. The proposed methodology was illustrated using a set of data collected from 26 cities across the world through web search and contacting relevant transport authorities and agencies. Results showed that London, Seattle and Sydney were among the world's top smart transport cities. In particular, Seattle and Paris ranked high in smart private transport services while London and Singapore scored high on public transport services. London also appeared to be the smartest in terms of emergency transport services. The key value of the proposed innovative framework lies in a comparative analysis among cities, facilitating city-to-city learning.

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Section: Introductionmentioning

confidence: 99%

A methodological framework for benchmarking smart transport cities

Debnath

Chin

Boyle

et al. 2014

Cities

197

102

View full text Add to dashboard Cite

show abstract

“…e Advance project has been one of the first ITS projects using data fusion techniques [14]. Research works with the same extent are proposed in the literature and are intended together to address travel time estimations and predictions using different data sources such as loop detectors, probe vehicle, GPS, Laser scanner, optical sensor, and QoS indicators [6,15,16]. ey incorporate different data fusion engines such as D-S theory [17][18][19][20].…”

Section: Related Workmentioning

confidence: 99%

“…Research work in the eld of data fusion in ITS revolves principally around 8 elds [3,6]: advanced traveller information systems (ATIS), automatic incident detection, advanced driver assistance (ADA), network control, crash analysis and prevention, tra c demand estimation, tra c forecasting, and tra c monitoring and accurate position estimation.…”

Section: Introductionmentioning

confidence: 99%

Improving Driver Assistance in Intelligent Transportation Systems: An Agent-Based Evidential Reasoning Approach

Benalla

Achchab

Hrimech

2020

Journal of Advanced Transportation

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Providing accurate real-time traffic information is an inherent problem for intelligent transportation systems (ITS). In order to improve the knowledge base of advanced driver assistance systems (ADAS), ITS are strongly concerned with data fusion techniques of all kinds of sensors deployed over the traffic network. Driver assistance is devoid of a comprehensive evidential reasoning system on contextual information, more specifically when a combination involves inside and outside sensory information of the driving environment. In this paper, we propose a novel agent-based evidential reasoning system using contextual information. Based on a series of information handling techniques, specifically, the belief functions theory and heuristic inference operations to achieve a consensus about daily driving activity in automatically inferring. That is quite different from other existing proposals, as it deals jointly with the driving behavior and the driving environment conditions. A case study including various scenarios of experiments is introduced to estimate behavioral information based on synthetic data for prediction, prescription, and policy analysis. Our experiments show promising, thought-provoking results encouraging further research.

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“…In Japan, intelligent transportation system is know as AMTICS and RACS, but in European people, they called intelligent transportation system by Prometheus. But the purpose is related [27].…”

Section: Table1 Classification Of Smart City Application Domainsmentioning

confidence: 99%

ICT-Mechanisms of Intelligent Transportation System in Taipei City as a Smart City

Alamsyah¹,

Chou²,

Susanto³

2016

IJCSIT

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ICT-enabled service innovation is needed to provide a better service in a smart city. An example of ICTenabled service innovation is intelligent transportation system (ITS) in Taipei City, Taiwan. We developed a eight ICT-mechanisms that support development of service innovation in smart city. This study found that ontime resource control was the most important mechanism. The expectation of this study is make easier another city to develop a smart city's concept.

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Intelligent transportation systems—Enabling technologies

Cited by 30 publications

References 59 publications

A methodological framework for benchmarking smart transport cities

A methodological framework for benchmarking smart transport cities

Improving Driver Assistance in Intelligent Transportation Systems: An Agent-Based Evidential Reasoning Approach

ICT-Mechanisms of Intelligent Transportation System in Taipei City as a Smart City

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