Collection and Dissemination of Real-Time Travel Time and Incident Information with In-Vehicle Communication Technologies

Balke, Kevin; McCasland, W R; Levine, Steven Z.; Dudek, C L

doi:10.4271/912737

Cited by 4 publications

(1 citation statement)

References 1 publication

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“…Traffic congestion has been a growing issue in many metropolitan areas during recent years , leading to a large proportion of travel delays and lost commuter time, excess fuel consumption, emission of pollutants and ultimately monetary losses. Traffic incidents have been acknowledged as the cause of a considerable share of travel delays in urban areas and account for 25% to 60% of traffic congestion on motorways . This necessitates the identification of the key contributors to congestion and development of sustainable strategies to help decrease its adverse impacts on traffic networks.…”

Section: Introductionmentioning

confidence: 99%

Motorway crash duration and its determinants: do durations vary across motorways?

Tajtehranifard

Bhaskar

Boyle

et al. 2016

J of Advced Transportation

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SUMMARYTraffic congestion has been a growing issue in many metropolitan areas during recent years, which necessitates the identification of its key contributors and development of sustainable strategies to help decrease its adverse impacts on traffic networks. Road incidents generally and crashes specifically have been acknowledged as the cause of a large proportion of travel delays in urban areas and account for 25% to 60% of traffic congestion on motorways.Identifying the critical determinants of travel delays has been of significant importance to the incident management systems, which constantly collect and store the incident duration data. This study investigates the individual and simultaneous differential effects of the relevant determinants on motorway crash duration probabilities. In particular, it applies parametric Accelerated Failure Time (AFT) hazard-based models to develop in-depth insights into how the crash-specific characteristic and the associated temporal and infrastructural determinants impact the duration. AFT models with both fixed and random parameters have been calibrated on one year of traffic crash records from two major Australian motorways in South East Queensland, and the differential effects of determinants on crash survival functions have been studied on these two motorways individually.A comprehensive spectrum of commonly used parametric fixed parameter AFT models, including generalized gamma and generalized F families, has been compared with random parameter AFT structures in terms of goodness of fit to the duration data, and as a result, the random parameter Weibull AFT model has been selected as the most appropriate model. Significant determinants of motorway crash duration included traffic diversion requirement, crash injury type, number and type of vehicles involved in a crash, day of week and time of day, towing support requirement and damage to the infrastructure. A major finding of this research is that the motorways under study are significantly different in terms of crash durations; such that motorway 1 exhibits durations that are on average 19% shorter compared with the durations on motorway 2. The differential effects of explanatory variables on crash durations are also different on the two motorways. The detailed presented analysis confirms that looking at the motorway network as a whole, neglecting the individual differences between roads, can lead to erroneous interpretations of duration and inefficient strategies for mitigating travel delays along a particular motorway.

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Section: Introductionmentioning

confidence: 99%

Motorway crash duration and its determinants: do durations vary across motorways?

Tajtehranifard

Bhaskar

Boyle

et al. 2016

J of Advced Transportation

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Intelligent traffic monitoring system using wireless cellular communications

Sankar

Civil²

Proceedings IEEE SOUTHEASTCON '97. 'Engineering the New Century'

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Traffic monitoring and congestion prediction using handoffs in wireless cellular communications

Sankar

Civil

1997 IEEE 47th Vehicular Technology Conference. Technology in Motion

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In this paper, we report on a feasibility study conducted to demonstrate a cost-effective and efficient method using handoffs in wireless cellular communications for monitoring traffic flow and predicting congestion. The algorithm for this intelligent traffic monitoring system uses handoff information to estimate the average speed of the cars and their locations. It is tested on a model network (street map overlaid on cellular coverage map) by simulating different traffic conditions such as normal and congested traffic flows. The simulation results indicate that the system is able to successhlly find the location of the mobile vehicle and accurately estimate the average speed in a relatively short time.0-7803-3659-3/97 $1 0.00 0 1 997 IEEE

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Collection and Dissemination of Real-Time Travel Time and Incident Information with In-Vehicle Communication Technologies

Cited by 4 publications

References 1 publication

Motorway crash duration and its determinants: do durations vary across motorways?

Motorway crash duration and its determinants: do durations vary across motorways?

Intelligent traffic monitoring system using wireless cellular communications

Traffic monitoring and congestion prediction using handoffs in wireless cellular communications

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