Effects of penetration rates on the application of in-vehicle traffic lights at unsignalized intersections

Yang, Bo; Wang, Zheng; Nakano, Kimihiko

doi:10.1080/15389588.2022.2052285

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…The paper by Yang, Wang, & Nakano (2022) is focused on progressive technology how virtual traffic lights incorporated in vehicles can help control traffic at unsignalized road junctions. This technology is based on vehicle-to-vehicle communication.…”

Section: Literature Reviewmentioning

confidence: 99%

Activities of Car Drivers Performed During Waiting in front of Traffic Lights at Road Junctions

Bulíček,

Drdla

2024

ToTS

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The aim of the paper is to define activities performed by car (vehicle) drivers while waiting at traffic lights in city areas and how frequent they are. Some of these activities could be a factor leading to possible traffic accident. The research is based on the sample of 17,088 surveyed vehicles. Data were collected on 67 streets in 5 cities in the Czech Republic (Praha, Brno, Pardubice, Olomouc, Frýdek-Místek) from IV/2022 to VI/2023. The way of survey is manual data collection. There are defined and assessed 7 groups of activities -following traffic situation; cellular phone; (vehicle) control elements; talking to other people in a vehicle; paper documents; drinking+eating+smoking; and dressing-up. The modified SWOT analysis is applied in process of definition of these groups of activities. All these activity groups and their impacts on vehicle driving are discussed in the paper. The data collected are assessed in transport technology as well as statistics points of view. Means of descriptive statistics and χ 2 Goodness-of-Fit test are applied. Data are compared by city as well as by direction of drive (towards/outwards or around the city centre). The relation to the distance from the city centre is assessed in the case of Prague. Differences by drivers leaving residential areas and shopping centres are discussed, as well as the impact of tram transport. The main result is that ca. 65% of drivers still follow traffic while waiting at traffic lights. Talking to others in vehicle is recorded by 14% of drivers. Vehicle control elements are manipulated by 4%. The remaining 17% of drivers perform other (and may be riskier) activities -cellular phone 8%

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Section: Literature Reviewmentioning

confidence: 99%

Activities of Car Drivers Performed During Waiting in front of Traffic Lights at Road Junctions

Bulíček,

Drdla

2024

ToTS

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“…Further analysis of the different penetration rates of IVTL vehicles was conducted, and driving simulation results showed that when IVTLs were fully deployed, the driving safety in unsignalized intersections was significantly improved. For partial deployment of IVTLs, there was a need to accelerate the deployment of IVTLs, especially when the penetration rate was below 50%, to ensure driving safety [31].…”

Section: The Impact Of Ivtls On Driving Characteristicsmentioning

confidence: 99%

The Impact of In-Vehicle Traffic Lights on Driving Characteristics in the Presence of Obstructed Line-of-Sight

et al. 2023

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In-vehicle traffic lights (IVTLs) have been identified as a potential means of eco-driving. However, the extent to which they influence driving characteristics in the event of obstructed on-road traffic lights (ORTLs) has yet to be fully examined. Firstly, the situation of partially deployed IVTLs in both vehicles was analyzed to identify the factors that affect driving characteristics. Through the following distance model, relative vehicle speed, acceleration and deceleration, and following distance were recognized as the contributing factors. The evaluation indicators for driving characteristics were thereby further established. Then, a hardware-in-the-loop simulation platform was built using PreScan-MATLAB/Simulink joint simulation software and a Logitech G29 device. IVTLs were implemented using modules in the joint simulation software. Finally, under the scenarios of obstructed ORTLs and various deployment conditions of IVTLs, the original data were collected from 50 experimental subjects with simulated driving. The subjects included 25 males and 25 females, all of whom were non-professional drivers, with ages ranging from 20 to 40 years old. The conclusion was reached that IVTLs could improve driving comfort by approximately 10% in sunny weather (p = 0.008 < 0.05, p = 0.023 < 0.05; p = 0.046 < 0.05, p = 0.001 < 0.05), driving maneuverability by approximately 30% in foggy weather (p = 0.033 < 0.05), and driving safety by approximately 50% in the ORTLs obstructed by a truck scenario (p = 0.019 < 0.05). In general, even if only one vehicle was equipped with IVTLs, certain gain effects on the driving characteristics of both vehicles could still be provided.

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Driver behaviors assisted by different human machine interfaces to avoid rear-end collisions during level 2 automated driving

Yang

Saito

Wang

et al. 2023

Traffic Injury Prevention

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Effects of penetration rates on the application of in-vehicle traffic lights at unsignalized intersections

Cited by 3 publications

References 14 publications

Activities of Car Drivers Performed During Waiting in front of Traffic Lights at Road Junctions

Activities of Car Drivers Performed During Waiting in front of Traffic Lights at Road Junctions

The Impact of In-Vehicle Traffic Lights on Driving Characteristics in the Presence of Obstructed Line-of-Sight

Driver behaviors assisted by different human machine interfaces to avoid rear-end collisions during level 2 automated driving

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