Pro-active Management of Traffic Incidents Using Novel Technologies

Nitsche, Philippe; Olstam, Johan; Taylor, N B; Martin, Randall V.; Ponweiser, Wolfgang; Bernhardsson, Viktor; Mocanu, Isabela; Uittenbogaard, J.; Dam, E. van

doi:10.1016/j.trpro.2016.05.287

Cited by 10 publications

(6 citation statements)

References 4 publications

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“…The scenarios are further subdivided by management technique as listed in Table 1, and detailed description of the stages of the incident, and length and intensity of traffic peak (see Section 4.3). See also Nitsche et al [1]. Scene management techniques, applied as appropriate to each scenario, include physical measures like incident screens, physical screens erected between the carriageways to reduce 'rubber-necking' distraction on the opposite carriageway (see Section 4.1), contra-flow to remove traffic from the immediate vicinity of the incident, and 'quick clearance' of the carriageway, as well as management on site.…”

Section: Incident Scenariosmentioning

confidence: 99%

“…Where a speed limit is applied (Technique 2.3) this is assumed to be 50 km/h. The effect of novel technology like Advanced eCall, and its penetration, is represented broadly as Low (essentially absent), Medium or High level, with corresponding reductions in the length of initial response phases, as detailed by Nitsche et al [1].…”

Section: Incident Scenariosmentioning

confidence: 99%

“…Modelling methods A critical issue for present purposes is how important are the differences between the CTM-v simulation and the macroscopic queue model for reaching conclusions about the most effective Pro-Active TIM techniques and for estimating the benefit-cost ratios of interventions, as discussed in Nitsche et al [1], and project reports Taylor et al [2,3]. It is clear from the results in Table 10 that the modelling errors or uncertainties of the order 10-20% affect neither general magnitudes nor ordering of results for the Scenario/Technique combinations, which vary by nearly a factor of 30, or one and a half orders of magnitude, in delay.…”

Section: Conclusion and Future Research Needsmentioning

confidence: 99%

“…This paper reports the methods and results of modelling road traffic incident scenarios in the project PRo-active Incident MAnagement (PRIMA) [1][2][3], following on from tasks on Traffic Incident Management (TIM) and Traffic Management in previous phases of research funded by the Conference of European Directors of Roads [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Modelling delay saving through pro-active incident management techniques

Taylor

Olstam

Bernhardsson

et al. 2017

Eur. Transp. Res. Rev.

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Purpose Road traffic incidents cause delay, affect public safety and the environment. The CEDR PRIMA project aims to extend practical guidance for traffic managers in pro-active Traffic Incident Management (TIM) techniques to reduce the impacts and associated costs of incidents. Methods The paper describes modelling methods used in the project for assessing the effect of different management techniques on incident duration and travel delay under various scenarios, including collision, adverse weather, heavy vehicle breakdown and other obstruction, assuming various management strategies and generic impacts of novel technologies. Macroscopic simulations of 178 variations of 13 basic scenarios have been performed using a flexible and computationally efficient macroscopic queue model, results being verified by simulation using a velocity-based Cell Transmission Model (CTM-v).Results The results of the two modelling methods are broadly consistent. While delays estimated by the two methods can differ by up to 20%, this is small compared to the factor of 30 range of modelled delays caused by incidents, depending on their nature and circumstances, and is not sufficient to affect general conclusions. Under the peak traffic conditions assumed, the most important factor affecting delay is whether running lanes can be kept open, but quick clearance of carriageway is not always feasible. Conclusions Comparison of two very different modelling methods confirms their consistency within the context of highly scenario-dependent results, giving confidence in the results. Future research and data needs include further validation of the models, potential application to traffic flow and conflict prediction and incident prevention, and more complete and consistent recording of incident timelines and impacts.

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Section: Incident Scenariosmentioning

confidence: 99%

Section: Incident Scenariosmentioning

confidence: 99%

Section: Conclusion and Future Research Needsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modelling delay saving through pro-active incident management techniques

Taylor

Olstam

Bernhardsson

et al. 2017

Eur. Transp. Res. Rev.

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“…Road interruptions caused by the incidents lead to traffic jams that increase travel time, consumption of fossil fuels, environmental pollution (noise, visual and atmospheric), direct and indirect costs to the economy, among other impacts on the quality of life of the urban pollution (Taylor, 2008;Rao and Rao, 2012;De Palma and Lindsey, 2011;Grote et al, 2016;Nitsche et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Logical Structure of Actions to Reduce the Impacts of Traffic Incidents

Baltar¹,

Abreu²,

Santos³

2021

revistageintec

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Traffic incidents (such as broken-down vehicles, accidents, flat tires and other) constitute an important concern in the urban context, impacting the sustainable development. Thus, currently, the proposition of efficient traffic incident management systems has been encouraged to re-establish road safety and restore the network's traffic capacity. Thus, this paper aims to investigate the main impacts of traffic incidents and elaborate a logical structure of actions that should be employed to improve their management. The results show that many impacts can be identified in the three spheres of sustainable development and improvement actions must accelerate responses to emergencies, invest in Intelligent Transportation System (ITS), develop urban planning with a focus on more roads secure and enforce existing laws and regulations.

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