Group Gap Acceptance: A New Method to Analyze Driver Behavior and Estimate the Critical Gap at Multilane Roundabouts

Hamad, Hassan

doi:10.1155/2018/1350679

Cited by 14 publications

(6 citation statements)

References 12 publications

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“…6). This vehicle takes the decision whether to enter into the roundabout or to stop before it, whether rejecting or accepting the gap (Shaaban and Hamad, 2018).…”

Section: Scenario Conditionsmentioning

confidence: 99%

Simulation and Validation with Radio-Controlled (RC) Autonomous Vehicles in Roundabout Situation

Ferencz

Zöldy

2022

Period. Polytech. Transp. Eng.

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In the present research paper, the authors provide an extensive overview about a so far uninvestigated approach regarding the research and development (R&D) of Autonomous Vehicle Technologies, an exhaustive investigation concerning the simulation and validation of roundabout situation with radio-controlled (RC) autonomous vehicles, as well as the examination of RC vehicles' applicability in the testing processes of Connected Autonomous Vehicle (CAV) technologies. Through this research project, the authors are offering a thorough analysis concerning the most current Autonomous Driving Systems from the point of view of their operation in roundabout related environments, as well as have developed two small-scaled RC autonomous vehicle models, which are capable of being used in the testing and validation processes concerning research studies related to the field of autonomous vehicles. This paper represents the first of a two-part in-depth examination of the aforementioned subject matter, organized in six sections, each contributing significantly to the realization of the final structure of a unique and comprehensive project.

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“…6). This vehicle takes the decision whether to enter into the roundabout or to stop before it, whether rejecting or accepting the gap (Shaaban and Hamad, 2018).…”

Section: Scenario Conditionsmentioning

confidence: 99%

Simulation and Validation with Radio-Controlled (RC) Autonomous Vehicles in Roundabout Situation

Ferencz

Zöldy

2022

Period. Polytech. Transp. Eng.

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“…When headway distributions in each circulating lane are considered separately, this paper states that for each entry lane the values of critical headway for the inner circulating lane are lower than the same values for the outer circulating lane. Shaaban and Hamad [40] developed a new method for estimating the critical headway at multi-lane roundabouts, and the method itself is based on group gap acceptance.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparative Analysis of Critical Headway Estimation at Urban Single-Lane Roundabouts

Radović

Mohan

Bogdanović

2022

Promet

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According to models commonly used in practice, the capacity of roundabouts largely depends on the value of critical headway. The value of critical headway depends on the characteristics of vehicles, driving conditions, and geometric characteristics of intersections, but also on driver behaviour. Driver behaviour is the result of many factors that depend on the influence of the local environment, driver habits, mentality, etc. Accordingly, to calculate the capacity of roundabouts within the op-erational and planning analyses of roundabouts more accurately, it is necessary to use data that correspond to local conditions. In this paper, the critical headway was estimated at five urban single-lane roundabouts using five methods: Harders’, Logit, Raff’s, Wu’s, and the max-imum likelihood method. In order to determine which of the stated methods provides the most realistic estimate of critical headway, a comparison of field capacity values with theoretical capacity values was performed. Based on the comparative analysis performed in MATLAB, as well as the calculation of percentage prediction error, it was found that the Harders' method provides the most accurate estimate of critical headway at observed round-abouts in two cities in Bosnia and Herzegovina. Due to the similarity in the design of roundabouts and driver be-haviour, the results obtained in this paper can be applied in the surrounding countries, i.e., Southeast Europe

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“…e main factors that affect the accuracy of the driver behavior model include road geometry and weather condition [12,13]. Since the driver behavior is a very complicated stochastic system [14][15][16][17], designing driver behavior modeling is a very challenging task.…”

Section: Introductionmentioning

confidence: 99%

Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network

Liu

Jia²,

Wang³

et al. 2020

Journal of Advanced Transportation

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Human drivers’ behavior, which is very difficult to model, is a very complicated stochastic system. To characterize a high-accuracy driver behavior model under different roadway geometries, the paper proposes a new algorithm of driver behavior model based on the whale optimization algorithm-restricted Boltzmann machine (WOA-RBM) method. This method establishes an objective optimization function first, which contains the training of RBM deep learning network based on the real driver behavior data. Second, the optimal training parameters of the restricted Boltzmann machine (RBM) can be obtained through the whale optimization algorithm. Finally, the well-trained model can be used to represent the human drivers’ operation effectively. The MATLAB simulation results showed that the driver model can achieve an accuracy of 90%.

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Group Gap Acceptance: A New Method to Analyze Driver Behavior and Estimate the Critical Gap at Multilane Roundabouts

Cited by 14 publications

References 12 publications

Simulation and Validation with Radio-Controlled (RC) Autonomous Vehicles in Roundabout Situation

Simulation and Validation with Radio-Controlled (RC) Autonomous Vehicles in Roundabout Situation

Comparative Analysis of Critical Headway Estimation at Urban Single-Lane Roundabouts

Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network

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