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Proceeding Paper

Driving Speed Analysis Using Real-Time Traffic Light Status Information at Signalized Intersections †

Korea Road Traffic Authority, Department of Advanced Traffic, Hyeocksin-ro, Wonju-si 26466, Gangwon-do, Republic of Korea
*
Author to whom correspondence should be addressed.
Presented at the Second International Conference on Maintenance and Rehabilitation of Constructed Infrastructure Facilities, Honolulu, HI, USA, 16–19 August 2023.
Eng. Proc. 2023, 36(1), 28; https://doi.org/10.3390/engproc2023036028
Published: 10 July 2023

Abstract

:
This study aims to analyze driver behavior when traffic light status information is provided to the in-vehicle systems of individual vehicles. In the case where signal information was provided when the vehicle was approaching an intersection in a red-light state, a statistically significant difference in both the driving speed and standard deviation of the speed was observed. The driving speed was 2.770 km/h, and the standard deviation of the speed increased by 0.153 km/h. In addition, an average speed increase of 2.751 km/h was observed when the remaining time information was provided, then when it was not. When only light was provided, the speed increased by 1.549 km/h; this was statistically insignificant.

1. Introduction

Recently, South Korea has enhanced its transport information services by implementing signal phase and timing (SPaT) messages through the C-ITS project. SPaT messages convey the state of the signal information, including the remaining time for the direction in which each vehicle intends to follow. Based on this message, individual drivers can receive warnings about the danger of traffic violations or suggestions for safer intersection-approaching speeds [1]. This study aims to analyze driver behavior when traffic light status information is provided to the in-vehicle systems of individual vehicles.

2. Experimental Design

To set up a testing environment, a vehicle was equipped with an automotive black box and a device that could provide signal information to the driver. Subsequently, a driving test was conducted at an intersection of a public road where vehicles were controlled. The speed, gear state, and brake state of the vehicle were recorded in 100 ms increments, and the signal information device was used to simultaneously record the lighting state (red, yellow, or green) and the remaining time of the traffic lights (Figure 1).
In total, 12 scenarios were designed for the driving test, considering three external factors: the presence or absence of a preceding vehicle, initial lighting conditions (red/green), and provision of information on the status (Table 1). The test set comprised 60 participants, of which 20 were in their 20 s and 30 s, 20 were in their 40 s and 50 s, and 20 were aged 60 years and older.
The main objective of the test is to determine the driver’s behavior based on the provision of information on traffic light status. For this purpose, the case in which information was provided was further divided into one case in which only the state of lighting was provided and another case in which information on both the state of lighting and the remaining time was provided.
Additionally, the test was further divided into two cases to investigate a scenario in which the vehicle approaches an intersection: when the state of the signal light was red and when it was green. This is because different actions are required depending on the color of the signal when a vehicle approaches an intersection.

3. Data Analysis

3.1. Red Light State

For the case in which signal information was provided when the vehicle was approaching an intersection in a red-light state, a statistically significant difference in both the driving speed and standard deviation of the speed was observed, where the driving speed was 2.770 km/h, and the standard deviation of the speed was increased by 0.153 km/h (Table 2). Hence, providing information on the status of the traffic light and the remaining time was believed to affect the reaction time required by drivers to freely select the speed of approaching and passing the intersection.
To analyze this effect based on the form in which information was provided, the effect was divided into three categories: non-providing, providing only the light condition, and simultaneously providing the light condition and remaining time. Consequently, an average speed increase of 2.751 km/h was observed when the remaining time information was provided, then when it was not (Table 3).
Notably, providing and utilizing the red remaining time information of vehicles approaching an intersection during a red light increased the frequency of vehicles passing the intersection without stopping.
When only the light condition was provided, the speed increased by 1.549 km/h; therefore, the statistical significance was minimal (Figure 2).
However, during driving without any visibility restrictions, displaying the traffic lights inside the vehicle in a manner similar to that at the intersection did not significantly affect the driver’s behavior. Thus, the case where only the light condition information was provided in the car was useful when visually recognizing the actual traffic light was difficult owing to distance limitations such as the preceding vehicle, fog, or heavy rain.

3.2. Green Light State

When approaching an intersection in a green light state, the simultaneous provision of signal information and remaining time can be used to prevent dangerous behavior wherein drivers recklessly cross the intersection. The vehicles that approached the intersection in a green light state had significantly different average speeds when the information with remaining time was provided than when it was not.
Notably, when the green remaining time information was provided, the speed of passing the intersection was 4.866 km/h higher than that when no information was provided. The average intersection approaching speed during the green signal time was 30.206 km/h, which was 4.866 km/h higher than when no information was provided (Figure 3a). In the case of providing remaining time, vehicle speed statistically increases on average by 5 km/h at a confidence level of 95%.
Additionally, the speed of passing the intersection was 44.692 km/h when only the light condition information was provided and 42.142 km/h during the yellow signal time (Table 4); this was lower than that when information was not provided (42.768 km/h). This implied that when the remaining time information was provided, reckless entry into the intersection was reduced; conversely, the driver’s driving speed could be maintained if information containing sufficient remaining time was provided (Figure 3b).
The biggest cause of the increase in speed is passing through the intersection without stopping or decelerating, and misusing the remaining time information. Furthermore, a case existed in which the participant accelerated through the intersection at high speed, based on the provided information.

4. Conclusions

Providing the driver with real-time information on the status of traffic lights and remaining time at an intersection was determined to help individual drivers to select vehicle speeds irrespective of the initial lighting condition. Moreover, when information on the traffic light status was provided, the selection of the speed resulted in a higher speed of passing through the intersection than when it was not. Therefore, future signal remaining time information studies should consider these characteristics and enhance the message format and communication method based on the requirements.

Author Contributions

Conceptualization, methodology, analysis, writing, E.C.; investigation and data curation, H.H.; validation, S.L.; supervision, O.J.; project administration, K.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Korea Road Authority.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets used/or analysed during the current study available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

Reference

  1. Bo, Y.; Shan, B.; Fred, F.; James, S. Examination and prediction of drivers’ reaction when provided with V2I communication—Based intersection maneuver strategies. Transp. Res. Part C 2019, 106, 17–28. [Google Scholar]
Figure 1. Experimental vehicle (a); in-vehicle system (b).
Figure 1. Experimental vehicle (a); in-vehicle system (b).
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Figure 2. Vehicle driving characteristics by type of information provided at red light state.
Figure 2. Vehicle driving characteristics by type of information provided at red light state.
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Figure 3. Vehicle speed by type of information provided at green and yellow light state.
Figure 3. Vehicle speed by type of information provided at green and yellow light state.
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Table 1. External factor of the driving test scenario.
Table 1. External factor of the driving test scenario.
Preceding Vehicle (2)Initial Lightning Condition (2)Type of Information (3) 1
PresenceRedNot provided
AbsenceGreenOnly lightning conditions
Lighting conditions with the remaining time
1 Traffic light status information.
Table 2. Results of statistical analysis for the average difference in the vehicle speed according to whether traffic light status information is provided (t-test; p < 0.01).
Table 2. Results of statistical analysis for the average difference in the vehicle speed according to whether traffic light status information is provided (t-test; p < 0.01).
InformationMeanStd.DStd.EtdfSig.Mean
Diff.
95%CIN
LowerUpper
V (kph)Not provided24.70711.7650.346−6.65822440.000−2.770−3.585−1.9541156
Provision * 27.47712.7640.231 3057
Std.VNot provided1.2870.8430.025−5.11622700.000−0.153−0.212−0.0941155
Provision *1.4410.9260.017 3054
* In experiments where drivers received real-time traffic light state information through an in-vehicle system.
Table 3. ANOVA table for vehicle driving characteristics for the type of information at red light state.
Table 3. ANOVA table for vehicle driving characteristics for the type of information at red light state.
InformationNMeanStd.DStd.ESum of
Square
dfMean SquareFSig.
V (kph)None68624.53012.9780.495
Light condition 67225.73313.6330.526
With remaining time60627.28113.2020.536
Between-group 2439.06621219.5336.9210.001
Within group 345,522.8211961176.197
Total 347,961.8871963
Std.VNone6851.3560.8060.031
Light condition 6721.4910.8760.034
With remaining time6051.5530.8890.036
Between-group 13.26326.6329.0410.000
Within group 1436.91619590.733
Total 1450.1791961
Table 4. ANOVA table for vehicle driving characteristics for the type of information at green light state.
Table 4. ANOVA table for vehicle driving characteristics for the type of information at green light state.
InformationNMeanStd.DStd.ESum of
Square
dfMean SquareFSig.
V (kph)None46325.3409.3160.433
Light condition 43126.3058.7790.423
With remaining time74330.2069.7700.358
Between-group 8066.88224033.44145.7480.000
Within group 144,064.435163488.167
Total 152,131.3171636
Std.VNone4631.2020.8820.041
Light condition 4311.2720.8500.041
With remaining time7431.2690.8850.032
Between-group 1.51220.7560.9870.373
Within group 1249.89816320.756
Total 1251.4101634
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Share and Cite

MDPI and ACS Style

Choi, E.; Han, H.; Jeon, O.; Lee, S.; Ko, K. Driving Speed Analysis Using Real-Time Traffic Light Status Information at Signalized Intersections. Eng. Proc. 2023, 36, 28. https://doi.org/10.3390/engproc2023036028

AMA Style

Choi E, Han H, Jeon O, Lee S, Ko K. Driving Speed Analysis Using Real-Time Traffic Light Status Information at Signalized Intersections. Engineering Proceedings. 2023; 36(1):28. https://doi.org/10.3390/engproc2023036028

Chicago/Turabian Style

Choi, Eunjin, Hyangmi Han, Ockhee Jeon, Seungcheol Lee, and Kwangyoung Ko. 2023. "Driving Speed Analysis Using Real-Time Traffic Light Status Information at Signalized Intersections" Engineering Proceedings 36, no. 1: 28. https://doi.org/10.3390/engproc2023036028

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