The impact of road alignment characteristics on different types of traffic accidents

Liu, Ziyang; He, Jie; Zhang, Chen; Xing, Lu; Zhou, Bojian

doi:10.1080/19439962.2018.1538173

Cited by 17 publications

(9 citation statements)

References 15 publications

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“…In Lane 4, for the 100 km/h group, the CBD value of the Bloss and Grabowski curves decreased tremendously compared to superelevation of 6 % (−21.96 m, −26.76 m), a magnitude that ). Changing proved that hard braking under changing road conditions was always a dangerous situation for vehicles (Liu et al, 2020).…”

Section: Effect Of Superelevation On the Critical Braking Distancementioning

confidence: 99%

Effects of Transition Curves and Superelevation on the Critical States of Truck Rollovers on Sharp Curves

Chen,

Wang

2024

BJRBE

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Sharp curves are vulnerable sections for rollover accidents. This study was conducted to investigate the effects of transition curve and superelevation on the critical speed and critical braking distance of truck rollovers. Using different transition types (spiral, Bloss and Grabowski curve) and different superelevation values (6%, 120 m transition length and 8%, 160 m) as variables, experiments of constant speed driving and hard braking were simulated and conducted by Trucksim. Conclusions regarding the influence of these road design factors on the stability of vehicles were then proposed. Grabowski curve allowed for the maximum critical rollover speed. The difference in critical rollover speed between different transition types was only determined by the length of the transition section. Simply extending the length of the transition section increased the critical rollover speed of spiral curve, at the same time decreasing the critical speed of Bloss and Grabowski curve. Hard braking experiments showed completely different characteristics. As the initial speed increased, only spiral curve became safer. Increasing superelevation made the braking behaviour of the vehicle more dangerous and fraught with uncertainties due to different target speed, starting curvature and changing superelevation. Based on these findings, a number of useful recommendations for drivers and road designers were put forward.

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Section: Effect Of Superelevation On the Critical Braking Distancementioning

confidence: 99%

Effects of Transition Curves and Superelevation on the Critical States of Truck Rollovers on Sharp Curves

Chen,

Wang

2024

BJRBE

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“…In the research by Kanuganti et al (2017), authors have determined the priority of safety requirements of a certain category of rural roads using SAW method. A number of the same criteria as in this paper on the basis of which the risk is determined and the marking of the section of blackspots was applied by Liu et al (2020). It is a word total number of accidents, (deaths, minor injuries, serious injuries), curve radius on the basis of which the index of ranking of road sections was evaluated using the TOPSIS method.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Two-Lane Road Sections in Terms of Traffic Risk Using an Integrated McDm Model

et al. 2022

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The impact of geometric characteristics on traffic risk is reflected through identifying conflict points on roads,traffic accidents, and any other unforeseen situation that is inherently hazardous for traffic participants. In order to identify the road sections with the highest risk, it is necessary to consider a number of criteria that affect risk, and conduct extensive empirical research, analysis and data synthesis. This paper evaluates 9 sections of two-lane roads in the territory of Bosnia and Herzegovina (the Republic of Srpska) using an integrated Multi-Criteria Decision-Making (MCDM) model.To determine the significance of 8 criteria for the evaluation of the sections, it was applied a subjective–objective model consisting of 3 methods: (1) CRiteria Importance Through Inter-criteria Correlation (CRITIC), (2) FUll COnsistency Method (FUCOM) and (3) fuzzy PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA). The aggregation of the criterion values obtained using the methods yielded the final criterion values. Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS) method was used to evaluate the sections and determine their objective diversity. The obtained results identified one location as extremely hazardous by most of analysed input parameters. The section with the highest risk is the Rudanka – Doboj section (A4), which represents a section of the road infrastructure of the 105 road. The validation of the results obtained by applying the integrated MCDM model was performed through an extensive sensitivity analysis. The weights of criteria were observed through initially individual methods implemented in the MARCOS method. Then, a comparative analysis was performed with 6 other MCDM methods and Spearman’s Correlation Coefficient (SCC) was calculated as a statistical indicator of rank correlation in a sensitivity analysis. In addition,the Standard Deviation (STDEV) of the obtained results was determined.

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“…Most of the existing studies on the analysis of traffic accident influencing factors have focused on statistical methods. The linear regression (Iwata et al, 2010), logistic regression (Liu et al, 2020), structural equation models (Najaf et al, 2018) and other statistical models (Ghasedi et al, 2021) are used to explain the the correlation between accidents and road alignment characteristics, economic growth and other influences. In addition, while these traditional statistical jielingkim@csu.edu.cn (J. Jin) ORCID(s): 0000-0002-2063-5156 (J. Jin) analysis methods can analysis the influencing factors of accidents, they are difficult to reveal the dynamic relationship among the factors and accidents, since they do not consider temporal characteristics.…”

Section: Introductionmentioning

confidence: 99%

Bayesian vector autoregressive analysis of macroeconomic and transport influences on urban traffic accidents

Jin¹

2022

Preprint

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Bayesian vector autoregressive analysis of macroeconomic and transport influences on urban traffic accidents Jieling Jin• Bayesian vector autoregressive model is introduced to solve the problem of time series analysis in the case of small samples for traffic accident analysis.• Identified that urban economic growth contributes to the reduction of traffic accidents in the long term, while population growth has a positive effect on traffic accidents in the short term.• Revealed that road average speed and private vehicle ownership is considered to increase traffic accidents in long duration, and the positive effect is greatest for road average speed.• Uncovered that bus ownership and subway rail mileage have a long-term negative effect, and the negative effect is greatest for subway rail mileage.

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The impact of road alignment characteristics on different types of traffic accidents

Cited by 17 publications

References 15 publications

Effects of Transition Curves and Superelevation on the Critical States of Truck Rollovers on Sharp Curves

Effects of Transition Curves and Superelevation on the Critical States of Truck Rollovers on Sharp Curves

Evaluation of Two-Lane Road Sections in Terms of Traffic Risk Using an Integrated McDm Model

Bayesian vector autoregressive analysis of macroeconomic and transport influences on urban traffic accidents

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