Enhancement of Automatic Incident Detection Algorithms for Singapore's Central Expressway

Mak, Chin Long; Fan, Henry

doi:10.3141/1923-16

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Aside from the occurrence of an incident, its severity can also be categorized automatically on the basis of the level of congestion. Mak and Fan, for example, found that the inclusion of preincident traffic flow or occupancy conditions and the use of traffic speed together with occupancy yielded enhanced detection performance (42). Ishak and Alecsandru investigated the characteristics of preincident, postincident, and nonincident traffic conditions on freeways (43).…”

Section: Prospectsmentioning

confidence: 99%

Telecommunications- and Information Technology–Inspired Analyses: Review of an Intelligent Transportation Systems Experience

Chan

2017

Transportation Research Record: Journal of the Transportation R

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This paper reviews both the author’s experience with managing highway network traffic on a real-time basis and the ongoing research into harnessing the potential of telecommunications and information technology (IT). On the basis of the lessons learned, this paper speculates about how telecommunications and IT capabilities can respond to current and future developments in traffic management. Issues arising from disruptive telecommunications technologies include the ready availability of real-time information, the crowdsourcing of information, the challenges of big data, and the need for information quality. Issues arising from transportation technologies include autonomous vehicles and connected vehicles and new taxi-like car- and bikesharing. Illustrations are drawn from the following core functions of a traffic management center: ( a) detecting and resolving an incident (possibly through crowdsourcing), ( b) monitoring and forecasting traffic (possibly through connected vehicles serving as sensors), ( c) advising motorists about routing alternatives (possibly through real-time information), and ( d) configuring traffic control strategies and tactics (possibly though big data). The conclusion drawn is that agility is the key to success in an ever-evolving technological scene. The solid guiding principle remains innovative and rigorous analytical procedures that build on the state of the art in the field, including both hard and soft technologies. The biggest modeling and simulation challenge remains the unknown, including such rapidly emerging trends as the Internet of things and the smart city.

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Section: Prospectsmentioning

confidence: 99%

Telecommunications- and Information Technology–Inspired Analyses: Review of an Intelligent Transportation Systems Experience

Chan

2017

Transportation Research Record: Journal of the Transportation R

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A wavelet-based freeway incident detection algorithm with adapting threshold parameters

Jeong

Castro-Neto

Jeong

et al. 2011

Transportation Research Part C: Emerging Technologies

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Delays Caused by Incidents

Snelder

Bakri

Arem

2013

Transportation Research Record: Journal of the Transportation R

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Road networks are becoming more vulnerable to incidents as a result of the increasing level of congestion. An innovative empirical method is proposed and applied to analyze the delays caused by about 490,000 incidents that occurred in the Netherlands in the period 2007 to 2009. The method was applied to the motorway network of the Netherlands for which detailed loop detector data were available and for which incidents were registered. The method contributes to the existing literature by explaining how delays that are caused by incidents can be computed by selecting a reference day and by tracing the effects of incidents. The method considers upstream delays on the road where the incident occurred, spillback effects to other roads, and rubbernecking effects. The method provides insight for the locations that are most vulnerable to incidents and a basis for taking robustness measures and understanding the potential benefits of these measures.

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Enhancement of Automatic Incident Detection Algorithms for Singapore's Central Expressway

Cited by 3 publications

References 6 publications

Telecommunications- and Information Technology–Inspired Analyses: Review of an Intelligent Transportation Systems Experience

Telecommunications- and Information Technology–Inspired Analyses: Review of an Intelligent Transportation Systems Experience

A wavelet-based freeway incident detection algorithm with adapting threshold parameters

Delays Caused by Incidents

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