Quantifying regional heterogeneity effect on drivers’ speeding behavior using SHRP2 naturalistic driving data: A multilevel modeling approach

Ghasemzadeh, Ali; Ahmed, Mohamed M.

doi:10.1016/j.trc.2019.06.017

Cited by 29 publications

(9 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study concluded, however, that gender plays a substantial role in driving, as female drivers drove significantly faster than males, while male drivers were more aggressive during steering maneuvers. In addition, the results were more consistent with the findings of the reference article [13], which showed that females and young drivers are faster than males and senior drivers.…”

Section: Discussionsupporting

confidence: 86%

“…According to previous research, drivers are 24% more likely to drive below the speed limit on weekends because they are not under pressure to get to work [13]. However, in this study, drivers drove faster on weekends than on weekdays.…”

Section: Discussioncontrasting

confidence: 52%

“…Researchers in reference [12] identified age, gender, national, and regional differences as impacting drivers' behavior. Moreover, researchers discovered that driving on weekdays may have a negative impact on safe driving because drivers are under tremendous pressure to get to work [13]. Furthermore, researchers have identified a number of factors that influence driver performance, such as driving experience, level of education, and knowledge, concluding that novice drivers are more likely to underestimate hazards than experienced drivers, who are often more focused [14].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigating the Effect of Social and Cultural Factors on Drivers in Malaysia: A Naturalistic Driving Study

Al-Hussein

Kiah

Por

et al. 2021

IJERPH

View full text Add to dashboard Cite

Road accidents are increasing every year in Malaysia, and it is always challenging to collect reliable pre-crash data in the transportation community. Existing studies relied on simulators, police crash reports, questionnaires, and surveys to study Malaysia’s drivers’ behavior. Researchers previously criticized such methods for being biased and unreliable. To fill in the literature gap, this study presents the first naturalistic driving study in Malaysia. Thirty drivers were recruited to drive an instrumented vehicle for 750 km while collecting continuous driving data. The data acquisition system consists of various sensors such as OBDII, lidar, ultrasonic sensors, IMU, and GPS. Irrelevant data were filtered, and experts helped identify safety criteria regarding multiple driving metrics such as maximum acceptable speed limits, safe accelerations, safe decelerations, acceptable distances to vehicles ahead, and safe steering behavior. These thresholds were used to investigate the influence of social and cultural factors on driving in Malaysia. The findings show statistically significant differences between drivers based on gender, age, and cultural background. There are also significant differences in the results for those who drove on weekends rather than weekdays. The study presents several recommendations to various public and governmental sectors to help prevent future accidents and improve traffic safety.

show abstract

Section: Discussionsupporting

confidence: 86%

Section: Discussioncontrasting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Investigating the Effect of Social and Cultural Factors on Drivers in Malaysia: A Naturalistic Driving Study

Al-Hussein

Kiah

Por

et al. 2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…Additionally, another complementary Roadway Information Database (RID) was utilized that contains dataset from the SHRP2 mobile data collection project and other existing dataset from public and private sources ( 23 ). Note that these unprecedented datasets have been used in many studies to investigate driver behavior in addition to traffic safety and operations ( 24 – 30 ).…”

Section: Data Acquisition and Preparationmentioning

confidence: 99%

Nonparametric Multivariate Adaptive Regression Splines Models for Investigating Lane-Changing Gap Acceptance Behavior Utilizing Strategic Highway Research Program 2 Naturalistic Driving Data

Das

Khan

Ahmed

2020

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

Gap acceptance is one of the crucial components of lane-changing analysis and an important parameter in microsimulation modeling. Drivers’ poor gap judgment, and failure to accept a necessary safety gap, make it one of the major causes of lane-changing crashes on roadways. Several studies have been conducted to investigate lane-changing gap acceptance behavior; however, very few studies examined the behavior in complex real-world situations, such as in naturalistic settings. This study examined lane-changing gap acceptance behavior from the big Strategic Highway Research Program 2 (SHRP2) Naturalistic Driving Study (NDS) datasets using a nonparametric multivariate adaptive regression splines (MARS) approach to better understand the complex effects of different factors in gap acceptance behavior. The study developed a unique methodology to identify lane-changing events of the non-NDS-vehicles using the front-mounted radar data from NDS vehicles and extract necessary parameters for analyzing gap acceptance behavior. In addition, surrogate measures of safety, that is, time-to-collision (TTC), was utilized to understand the impact of lane-changing on the NDS following vehicle safety. Moreover, different distributions of gap acceptance were fitted to identify the trend of gap acceptance behavior. The results from the MARS model revealed that different factors including relative speed between lane-changing vehicle (LCV) and lead vehicle (LV)/following vehicle (FV), traffic conditions, acceleration of LCV and FV, and roadway geometric characteristics have significant effects on gap acceptance behavior. The results of this study have significant implications, which could be used in microsimulation model calibration and safety improvements in connected and autonomous vehicles (CAV).

show abstract

“…There are many factors that affect driver's speeding. The geographical location of drivers accounted for about 7.7% of the variability in the likelihood of a driver driving over the posted speed [10]. Drivers do not typically feel nervous about speeding on long and straight-line roads, leading to less vigilance and more speeding, which are the main reasons for traffic accidents [11].…”

Section: Introductionmentioning

confidence: 99%

Analysis of factors influencing expressway speeding behavior in China

Liang

Xiao

2020

PLoS ONE

View full text Add to dashboard Cite

Based on the characteristics of expressway driving behavior, a punishment avoidance variable is introduced in this study to modify the theory of planned behavior (TPB), and the analysis model of expressway speeding behavior is improved and verified through survey data. The mechanism of the effects of attitude to behavior, subjective norm, perceived behavioral control, and punishment avoidance on expressway speeding behavior is analyzed. The results show that drivers lack a correct understanding of expressway speeding behavior and that punishment avoidance has a significant effect on expressway speeding behavior. Younger drivers (25-34), men, High income earners, and those who received more penalty points are considered prone to speeding. The study provides valuable contributions to the development of the Chinese version of the expressway speeding analysis model.

show abstract

Quantifying regional heterogeneity effect on drivers’ speeding behavior using SHRP2 naturalistic driving data: A multilevel modeling approach

Cited by 29 publications

References 35 publications

Investigating the Effect of Social and Cultural Factors on Drivers in Malaysia: A Naturalistic Driving Study

Investigating the Effect of Social and Cultural Factors on Drivers in Malaysia: A Naturalistic Driving Study

Nonparametric Multivariate Adaptive Regression Splines Models for Investigating Lane-Changing Gap Acceptance Behavior Utilizing Strategic Highway Research Program 2 Naturalistic Driving Data

Analysis of factors influencing expressway speeding behavior in China

Contact Info

Product

Resources

About