An Optimization Design Method of Combination of Steep Slope and Sharp Curve Sections for Mountain Highways

Yue, Lei; Wang, Hui

doi:10.1155/2019/2416342

Cited by 9 publications

(8 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The microscopic traffic model explains the ACC control logic in response to the change of kinematic states given in Eq. (1). Since this study only considers free-flow driving conditions (i.e., there is no target vehicle detected in front), the model generates the acceleration command (a cmd ) that adjusts the vehicle speed (v) to match the ACC set speed (v 0 ).…”

Section: B Microscopic Traffic Modelmentioning

confidence: 99%

“…T HE safety, stability, and efficiency of road transport are strongly influenced by road geometry such as curvature and slope. For example, sharp curve and steep slope sections account for 14% of accident-prone locations according to a statistical analysis of 1448 traffic accidents on highways [1]. Furthermore, it is well known that sags (where slope varies significantly from downhill to uphill) [2] and horizontal curves [3] can induce undesired traffic instability and capacity drop, and therefore, worsen traffic congestion and throughput.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Introducing the Effects of Road Geometry Into Microscopic Traffic Models for Automated Vehicles

Mattas

Donà³

et al. 2022

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

Road geometry (e.g. slope and curvature) has significant impacts on driving behaviours of low-level automated vehicles (AVs), but it has been largely ignored in microscopic traffic models. To capture these effects, this study proposes a generic approach to extend any (free-flow or car-following) microscopic models characterized by acceleration functions. To this end, three model extensions are developed, each of which can use different submodels for comparison. Their effectiveness is demonstrated with a microscopic free-flow model that represents the AVs' control logic. Finally, all possible combinations of the microscopic model and the model extensions are calibrated and cross-validated against data sets, which contain empirical trajectories of commercial adaptive cruise control (ACC) systems on different test tracks. Results suggest that two submodels, i.e., the nonlinear vehicle dynamics (NVD) and the radius difference method (RDM), can extend the microscopic model to effectively capture the effects of road slope and road curvature, respectively, on automated driving. Specifically, the NVD is the dominant factor contributing to increasing (by 34.9% on average) model accuracy. In addition, when simulating reckless turning behaviours (i.e. the vehicle turns at high speeds), the inclusion of the developed RDM is significant for model performance, and the models extended with both the NVD and the RDM can achieve the largest accuracy gains (39.6%).

show abstract

Section: B Microscopic Traffic Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Introducing the Effects of Road Geometry Into Microscopic Traffic Models for Automated Vehicles

Mattas

Donà³

et al. 2022

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

show abstract

“…In a study conducted according to data on 465 traffic accidents in Chongqing, vehicle stability is analyzed as a function of a combination of steep slopes and the sharp radii of curves, where a relevant safety model of a combined section of a steep slope and sharp curve was established. The simulation iteration frequency at 100 Hz (using the target speed control mode) was performed on steep downhills where safety factors were analyzed downhill at speeds of 40 km/h, 60 km/h, and 80 km/h [16]. Additionally, in a study researching the validation of mean speeds collected in a driving simulator, speed was monitored on curves corresponding to real-world road sections.…”

Section: Literature Reviewmentioning

confidence: 99%

Ranking Road Sections Based on MCDM Model: New Improved Fuzzy SWARA (IMF SWARA)

Vrtagic

Softić

Subotić

et al. 2021

Axioms

View full text Add to dashboard Cite

Traffic management is a significantly difficult and demanding task. It is necessary to know the main parameters of road networks in order to adequately meet traffic management requirements. Through this paper, an integrated fuzzy model for ranking road sections based on four inputs and four outputs was developed. The goal was to determine the safety degree of the observed road sections by the methodology developed. The greatest contribution of the paper is reflected in the development of the improved fuzzy step-wise weight assessment ratio analysis (IMF SWARA) method and integration with the fuzzy measurement alternatives and ranking according to the compromise solution (fuzzy MARCOS) method. First, the data envelopment analysis (DEA) model was applied, showing that three road sections have a high traffic risk. After that, IMF SWARA was applied to determine the values of the weight coefficients of the criteria, and the fuzzy MARCOS method was used for the final ranking of the sections. The obtained results were verified through a three-phase sensitivity analysis with an emphasis on forming 40 new scenarios in which input values were simulated. The stability of the model was proven in all phases of sensitivity analysis.

show abstract

“…Safety performance has been paid much more attention in highway alignment design [9,[20][21][22]. Easa and Mehmood presented a new substantive-safety approach for the design of horizontal alignments considering the minimum design requirements and actual collision experience [20].…”

Section: Introductionmentioning

confidence: 99%

“…Li et al described a method for considering both traffic safety risks and the associated cost burden related to the appropriate planning and design of a mountainous highway [21]. Yue and Wang conducted a simulation research work and established an optimization design method for a combination of a steep slope and sharp curve sections based on the analysis of vehicle driving stability [22]. e research work [23] conducted a simulation test and collected a total of 12800 traffic accident records to identify significant risk factors and explore the influence of different combinations of significant risk factors on roadside accidents.…”

Section: Introductionmentioning

confidence: 99%

Safety-Based Optimization Model for Highway Horizontal Alignment Design

You

Huang³

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The construction cost and crash cost of the highway are contradictory, but there is an optimal balance between them. This study focused on the best balance point by microadjusting the highway alignment design using the optimization theory. A multiobjective optimization method was proposed to optimize the highway horizontal alignment design considering the economy and safety. The optimization model includes three main objective functions which are the economic objective function, safety objective function, and position constraint objective function. Constraints were established for the optimization model following the corresponding specifications, such as constraints for the three elements in the design unit, continuous constraints for adjacent alignments, constraints for the location of horizontal alignment, and constraints for speed coordination. Two scenarios were considered to verify the effect of the optimization model. One scenario considered the constraints of the intermediate control points, and the other does not. In addition, two cases were analyzed. One is optimization for a horizontal alignment design unit. Another one is for a highway segment including four design units. The parallel genetic algorithm was used to solve the optimization model. Case study results indicate that the optimization model could help to improve the safety and economics of highways. In addition, the proposed optimization model could reduce much more redundant debugging work for the designer and reduce the influence of the designer’s subjectivity.

show abstract

An Optimization Design Method of Combination of Steep Slope and Sharp Curve Sections for Mountain Highways

Cited by 9 publications

References 13 publications

Introducing the Effects of Road Geometry Into Microscopic Traffic Models for Automated Vehicles

Introducing the Effects of Road Geometry Into Microscopic Traffic Models for Automated Vehicles

Ranking Road Sections Based on MCDM Model: New Improved Fuzzy SWARA (IMF SWARA)

Safety-Based Optimization Model for Highway Horizontal Alignment Design

Contact Info

Product

Resources

About