Deriving a surrogate safety measure for freeway incidents based on predicted end‐of‐queue properties

Chou, Chih-Sheng; Nichols, Andrew P

doi:10.1049/iet-its.2013.0199

Cited by 12 publications

(9 citation statements)

References 6 publications

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“…Several studies have attempted to measure the rate and characteristics of secondary crashes. The studies differ on how they define and classify secondary crashes, with most focusing on deterministic spatial and temporal boundaries around a primary incident (9-12), or focusing on crashes within a deterministic queue (13)(14)(15).…”

Section: Estimating Queue Lengthmentioning

confidence: 99%

Estimating Incident Impacts in Real Time

Goodall¹

2020

Preprint

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During an incident, responders may need to balance the intensity of their response approach against potential congestion delays. Often, these decisions must be made in real time using available data. As one example, a responder may decide to push a crashed truck to the shoulder and risk damaging the cargo. Based on discussions with first responders, this study identified data needs to support cost-benefit decisions made by on-scene incident managers. Procedures for estimating the impacts associated with an ongoing incident are described, considering capacity reductions, queuing, economic losses from congestion, and risks of secondary crashes. These procedures could be encoded in a spreadsheet for dispatch use or as a web site or smart phone application for use at the incident scene.

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Section: Estimating Queue Lengthmentioning

confidence: 99%

Estimating Incident Impacts in Real Time

Goodall¹

2020

Preprint

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“…These studies differ on how they define and classify secondary crashes. There are three main approaches to secondary crash classification: crashes that occur within a predefined time and distance of a primary incident (2)(3)(4)(5), crashes that occur within a deterministic queue of a primary incident (6)(7)(8), and crashes that occur within an observed queue from empirical measurements (9)(10)(11). No studies have investigated the prevalence of secondary crashes considering both empirical queues and incident duration.…”

Section: Literature Reviewmentioning

confidence: 99%

“…With each driver that encounters this queue, the risk for a secondary crash may increase slightly. The number of vehicles encountering the end-of-queue has been investigated in simulation as a surrogate measure for freeway safety (6). Several studies of secondary crash occurrence have investigated the effect of volume, but only using surrogate measures for volume such as time of day (7) or unadjusted average annual daily traffic (AADT) (4,8).…”

Section: Number Of Vehicles Encountering the Queuementioning

confidence: 99%

Probability of Secondary Crash Occurrence on Freeways with the Use of Private-Sector Speed Data

Goodall¹

2020

Preprint

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A percentage of crashes on freeways are suspected to be caused in part by the congestion or distraction from earlier incidents. Identifying and preventing these secondary crashes are major goals of transportation agencies, yet the characteristics of secondary crashes—in particular the probability of their occurrence—are poorly understood. Many secondary crashes occur when a vehicle encounters non-recurring congestion, yet previous efforts to identify incident queues and their secondary crashes have relied either on deterministic queuing theory, or on data from uniformly-spaced, dense loop detectors. This study is the first analysis of secondary crash occurrence integrating incident timelines and traffic volumes with widely-available (and legally obtained) private sector speed data. Analysis found that 9.2% of all vehicle crashes were secondary to another incident, and that 6.2% of these crashes were tertiary to another primary incident. Secondary crashes occurred on average once every 10 crashes and 54 disabled vehicles. The findings support a fast incident response, as the probability of secondary crash occurrence increases approximately one percentage point for every additional 2–3 minutes spent on-scene in high volume scenarios.

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“…This paper focuses on the potential of FCD for dynamic traffic management, more specifically variable speed limits to a.o. homogenise traffic speeds or prevent end-of-queue collisions (see [31]). Most current day traffic management systems rely on RSE because these provide a more complete and detailed view on the traffic conditions (as they monitor all traffic).…”

Section: Introductionmentioning

confidence: 99%

Examining the potential of floating car data for dynamic traffic management

Houbraken

Logghe²,

Audenaert

et al. 2018

IET Intelligent Transport Systems

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Traditional traffic monitoring systems are mostly based on road side equipment measuring traffic conditions throughout the day. With more and more GPS enabled connected devices, Floating Car Data (FCD) has become an interesting source of traffic information, requiring only a fraction of the road side equipment infrastructure investment. While FCD is commonly used to derive historic travel times on individual roads and to evaluate other traffic data and algorithms, it could also be used in traffic management systems directly. However, as live systems only capture a small percentage of all traffic, its use in live operating systems needs to be examined. In this paper, we investigate the potential of FCD to be used as input data for live automated traffic management systems. The FCD in this study is collected by a live country-wide FCD system in the Netherlands covering 6-8% of all vehicles. The (anonymised) data is first compared to available road side measurements to show the current quality of FCD. It is then used in a dynamic speed management system and compared to the installed system on the studied highway. Results indicate the FCD setup can approximate the installed system, showing the feasibility of a live system.

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Deriving a surrogate safety measure for freeway incidents based on predicted end‐of‐queue properties

Cited by 12 publications

References 6 publications

Estimating Incident Impacts in Real Time

Estimating Incident Impacts in Real Time

Probability of Secondary Crash Occurrence on Freeways with the Use of Private-Sector Speed Data

Examining the potential of floating car data for dynamic traffic management

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