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Reliability Modelling on Drivers’ Decision during the Yellow Phase of a Signal Intersection


Affiliations
1 Department of Civil Engineering, National Institute of Technology, Jamshedpur 832 014, India
2 Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, India
 

During the yellow phase starts of a traffic signal, the drivers are unable to take quick decisions whether to stop or cross the signal-controlled intersection. This dilemma zone (DZ) can cause a mix-up among drivers during the yellow phase and may lead to accidents. In the present study we use a DZ prediction model for analysis. In this study, approach speed, acceleration/ deceleration of different vehicle categories, distance to stop line, offset of yellow time, and presence or absence of countdown timer are considered as the main factors influencing the model. In order to address several drawbacks associated with traditional regressionbased models, a kriging-based surrogate model has been developed to explore the drivers’ behaviour during the yellow phase.

Keywords

Dilemma Zone, Kriging Model, Traffic Intersection, Yellow Phase Drivers.
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  • Reliability Modelling on Drivers’ Decision during the Yellow Phase of a Signal Intersection

Abstract Views: 286  |  PDF Views: 117

Authors

Sabyasachi Biswas
Department of Civil Engineering, National Institute of Technology, Jamshedpur 832 014, India
Indrajit Ghosh
Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, India

Abstract


During the yellow phase starts of a traffic signal, the drivers are unable to take quick decisions whether to stop or cross the signal-controlled intersection. This dilemma zone (DZ) can cause a mix-up among drivers during the yellow phase and may lead to accidents. In the present study we use a DZ prediction model for analysis. In this study, approach speed, acceleration/ deceleration of different vehicle categories, distance to stop line, offset of yellow time, and presence or absence of countdown timer are considered as the main factors influencing the model. In order to address several drawbacks associated with traditional regressionbased models, a kriging-based surrogate model has been developed to explore the drivers’ behaviour during the yellow phase.

Keywords


Dilemma Zone, Kriging Model, Traffic Intersection, Yellow Phase Drivers.

References





DOI: https://doi.org/10.18520/cs%2Fv118%2Fi4%2F654-661