Analysis of the Behavior of Vehicle Drivers at Signal-Controlled Intersection Approach while Waiting for a Green Signal—A Case Study in Poland

Sieklicka, Agnieszka; Chądzyńska, Patrycja; Iwanowicz, Damian

doi:10.3390/app121910133

Cited by 5 publications

(1 citation statement)

References 9 publications

(11 reference statements)

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“…In the field research results, it was observed that 60% of drivers who had stopped their vehicles after the red light came on used their mobile phones. In addition, according to the results of the survey, less than 40% of drivers admitted that they exhibited this behavior [36].…”

Section: Literature Reviewmentioning

confidence: 98%

Environmental Effects of Driver Distraction at Traffic Lights: Mobile Phone Use

Alemdar,

Kayacı Çodur,

Codur

et al. 2023

Sustainability

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The transportation demands of people are increasing day by day depending on the population, and the number of vehicles in traffic is causing various problems. To meet the energy needs of vehicles, there is a huge burden on countries in terms of fossil fuels. In addition, the use of fossil fuels in vehicles has a serious impact on environmental pollution. Various studies have been carried out to prevent unnecessary fuel consumption and emissions. Behavior of drivers, who are important components of traffic, are carefully examined in the context of this subject. Driver distraction causes various environmental problems as well as traffic safety issues. In this study, the negative situations that arise as a result of drivers waiting at traffic lights dealing with their mobile phones are discussed. Roadside observations are made for drivers at considered intersections in Erzurum Province, Turkey. As a result of these observations, delays at selected intersections due to mobile phone use are calculated. Unnecessary fuel consumption and emissions due to delays are also analyzed. An annual fuel consumption of approximately 177.025 L and emissions of 0.294 (kg) NOX and 251.68 (kg) CO2 occur at only selected intersections. In addition, a second roadside observation is made in order to analyze driver behavior and the most preferred type of mobile phone usage is determined. It is seen that drivers mostly exhibit the “Talking” and “Touchscreen” action classes. Considering the economic conditions and environmental pollution sensitivities of countries, attempts have been made to raise awareness about fuel consumption and emissions at traffic lights.

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Section: Literature Reviewmentioning

confidence: 98%

Environmental Effects of Driver Distraction at Traffic Lights: Mobile Phone Use

Alemdar,

Kayacı Çodur,

Codur

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

Quantifying traffic-related carbon emissions on elevated roads through on-road measurements

Zhao

et al. 2023

Environmental Research

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Evaluation of Selected Factors Affecting the Speed of Drivers at Signal-Controlled Intersections in Poland

Iwanowicz,

Krukowicz,

Chadała

et al. 2024

Sustainability

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In traffic engineering, vehicle speed is a critical determinant of both the risk and severity of road crashes, a fact that holds particularly important for signalized intersections. Accurately selecting vehicle speeds is crucial not only for minimizing accident risks but also for ensuring the proper calculation of intergreen times, which directly influences the efficiency and safety of traffic flow. Traditionally, the design of signal programs relies on fixed speed parameters, such as the posted speed limit or the operational speed, typically represented by the 85th percentile speed from speed distribution data. Furthermore, many design guidelines allow for the selection of these critical speed values based on the designer’s own experience. However, such practices may lead to discrepancies in intergreen time calculations, potentially compromising safety and efficiency at intersections. Our research underscores the substantial variability in the speeds of passenger vehicles traveling intersections under free-flow conditions. This study encompassed numerous intersections with the highest number of accidents, using unmanned aerial vehicles to conduct surveys in three Polish cities: Toruń, Bydgoszcz, and Warsaw. The captured video footage of vehicle movements at predetermined measurement sections was analyzed to find appropriate speeds for various travel maneuvers through these sections, encompassing straight-through, left-turn, and right-turn relations. Our analysis focused on how specific infrastructure-related factors influence driver behavior. The following were evaluated: intersection type, traffic organization, approach lane width, number of lanes, longitudinal road gradient, trams or pedestrian or bicycle crossing presence, and even roadside obstacles such as buildings, barriers or trees, and others. The results reveal that these factors significantly affect drivers’ speed choices, particularly in turning maneuvers. Furthermore, it was observed that the average speeds chosen by drivers at signalized intersections did not reach the permissible speed limit of 50 km/h as established in typical Polish urban areas. A key outcome of our analysis is the recommendation for a more precise speed model that contributes to the design of signal programs, enhancing road safety, and aligning with sustainable transport development policies. Based on our statistical analyses, we propose adopting a more sophisticated model to determine actual vehicle speeds more accurately. It was proved that, using the developed model, the results of calculating the intergreen times are statistically significantly higher. This recommendation is particularly pertinent to the design of signal programs. Furthermore, by improving speed accuracy values in intergreen calculation models with a clear impact on increasing road safety, we anticipate reductions in operational costs for the transportation system, which will contribute to both economic and environmental goals.

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Analysis of the Behavior of Vehicle Drivers at Signal-Controlled Intersection Approach while Waiting for a Green Signal—A Case Study in Poland

Cited by 5 publications

References 9 publications

Environmental Effects of Driver Distraction at Traffic Lights: Mobile Phone Use

Environmental Effects of Driver Distraction at Traffic Lights: Mobile Phone Use

Quantifying traffic-related carbon emissions on elevated roads through on-road measurements

Evaluation of Selected Factors Affecting the Speed of Drivers at Signal-Controlled Intersections in Poland

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