Improving homogeneity by dynamic speed limit systems

Nes, Nicole van; Brandenburg, Stefan; Twisk, Divera

doi:10.1016/j.aap.2009.05.002

Cited by 39 publications

(13 citation statements)

References 18 publications

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“…A variable speed limit is known to be able to increase homogeneity of driving speeds (i.e. optimise and smooth the traffic flow) and consequently improve road safety (Van Nes et al, 2010). Other information can also be displayed, for example, drivers can be directed to use the hard shoulder during congested periods so as to smooth the traffic flow.…”

Section: Discussion and Policy Implicationmentioning

confidence: 99%

A spatio-temporal analysis of the impact of congestion on traffic safety on major roads in the UK

Wang

Quddus

Ison

2013

Transportmetrica A: Transport Science

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Section: Discussion and Policy Implicationmentioning

confidence: 99%

A spatio-temporal analysis of the impact of congestion on traffic safety on major roads in the UK

Wang

Quddus

Ison

2013

Transportmetrica A: Transport Science

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“…Drivers' willingness and ability to comply with speed limits is affected by factors such as speed limit credibility and the design of speed signs. A study by van Nes, Brandenburg, and Twisk (2010) indicated that appreciation of VSLs by drivers in terms of usefulness and acceptance is higher compared to their static counterpart. Research on the design of signs for VSLs pointed out that they are best displayed on electronic signs per driving lane on overhead gantries, as this is where they are expected and how they attract most attention (Chang & Li, 2008;Hoogendoorn, Harms, Hoogendoorn, & Brookhuis, 2012;Rämä, 2001).…”

Section: Introductionmentioning

confidence: 94%

Dynamic traffic management on a familiar road: Failing to detect changes in variable speed limits

Harms

Brookhuis

2016

Transportation Research Part F: Traffic Psychology and Behaviou

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a b s t r a c tVariable speed limits (VSL) are used more commonly around the globe lately. Although on a macroscopic level positive effects of VSLs have been reported, the caveat is that the impact of VSLs is very sensitive to the level of driver compliance. Thus far it is unknown whether all individual drivers are actually able to notice when a speed limit changes into another speed limit; a prerequisite for purposeful speed limit compliance in the first place. To simulate regular driving conditions, twenty-four participants were familiarised with a particular route by driving the same route in a driving simulator nineteen times on five separate days. Part of the route consisted of a motorway where VSL signs were regularly displayed above every driving lane. At drive nineteen, speed limits changed from 80 km/ h to 100 km/h on four out of eight consecutive signs. After passing all signs, one expects 6.25% of the participants still to be unaware that the speed limit had increased (based on chance), while the results showed most participants had failed to notice the speed limit change (58.3%). Instead, they saw what they expected to see: a speed limit of 80 km/h. If the speed change had been vice versa, in other words from 100 km/h to 80 km/h, this would immediately result in speed offences, though not deliberately at all.

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“…Over time, these systems have been improved with more accurate and lanespecific loop detectors; and more diversified lane-specific messages, but the essence has not changed. What has changed is that in some cases these CWS (both sensors and variable message signs) are also used for different purposes, for example, for speed homogenization or pro-active congestion management with dynamic speed limits (2,3). With the arrival of alternative sensing systems (other than loops), and the possibility of using the vehicle itself as both sensor and actuator, one of the key questions for road operators today is whether continuous investments in infrastructure-based CWS is a costeffective strategy for the near-term (and longer term) future.…”

Section: Green Open Access Added To Tu Delft Institutional Repositorymentioning

confidence: 99%

Estimating the Safety Effects of Congestion Warning Systems using Carriageway Aggregate Data

Lint

Nguyen

Krishnakumari

et al. 2020

Transportation Research Record

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Is it possible to use just aggregate carriageway data for the evaluation of congestion warning systems (CWS) in large networks—or any system affecting traffic safety for that matter? In this paper, two hypotheses related to this question are tested. The first hypothesis is that it can be done by comparing large-scale congestion patterns on road stretches with and without CWS. The underlying rationale is that heterogeneous congestion patterns with many disturbances, frequent wide moving jams, and large speed differences result in more potentially unsafe traffic conditions than more homogeneous congestion patterns. The second hypothesis is that it is possible to compare differences in average (maximum) deceleration distributions into congestion waves between road stretches with and without CWS. Both hypotheses have been tested for similar bottlenecks with similar demand patterns and the results suggest the first hypothesis must be rejected. Although the idea seems plausible (CWS result in more homogeneous congestion patterns) there were too many confounding factors in the data to make the case. However, persuasive evidence was found for the second hypothesis. Statistically significant differences were found between (maximum) deceleration distributions on road stretches with and without CWS that suggest CWS do—as expected—contribute positively to traffic safety. It thus seems to be possible to monitor safety effects using just average speeds. However, the method is limited to providing relative comparisons. Furthermore, to fully rule out the effects of unobserved factors, more evidence and validation with microscopic data are needed.

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Improving homogeneity by dynamic speed limit systems

Cited by 39 publications

References 18 publications

A spatio-temporal analysis of the impact of congestion on traffic safety on major roads in the UK

A spatio-temporal analysis of the impact of congestion on traffic safety on major roads in the UK

Dynamic traffic management on a familiar road: Failing to detect changes in variable speed limits

Estimating the Safety Effects of Congestion Warning Systems using Carriageway Aggregate Data

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