Impact of vehicle speeds and changes in mean speeds on per vehicle-kilometer traffic accident rates in Japan

Tanishita, Masayoshi; Wee, Bert van

doi:10.1016/j.iatssr.2016.09.003

Cited by 45 publications

(31 citation statements)

References 19 publications

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“…Speed is a crucial factor affected the occurrence and consequences of road traffic crashes [1,2]. Therefore, great importance should be assigned to speed management.…”

Section: Introductionmentioning

confidence: 99%

“…Some explanations have been suggested as mechanisms of drivers' speed choice: (1) Abstract feelings like monotony, physical comfort, task difficulty, and safety are macro factors that determine drivers' subjective categorization of roads, among which comfort seems to be the most important [10,11]. (2) By visually inspecting clustered road scenarios, road width, lane markings, speed limits, and landscape as discriminant clues. A specific combination of these clues can successfully categorize roads in a way that relates to drivers' perceptions [12].…”

Section: Introductionmentioning

confidence: 99%

“…By adjusting the target of the experiment, the influence and effectiveness of a specific road feature can be evaluated. (2) Establishing a behavior prediction model and assessing the importance of the predictors [17,18]. According to research findings worldwide, road attributes influencing driving speed can be enumerated: road alignment [19], roadside conditions [16], lane and shoulder width [20], speed limit [21], recovery-zone width, and junction density [22].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Quantifying the Effects of Visual Road Information on Drivers’ Speed Choices to Promote Self-Explaining Roads

Qin

Chen

Lin

2020

IJERPH

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Roads should deliver appropriate information to drivers and thus induce safer driving behavior. This concept is also known as “self-explaining roads” (SERs). Previous studies have demonstrated that understanding how road characteristics affect drivers’ speed choices is the key to SERs. Thus, in order to reduce traffic casualties via engineering methods, this study aimed to establish a speed decision model based on visual road information and to propose an innovative method of SER design. It was assumed that driving speed is determined by road geometry and modified by the environment. Lane fitting and image semantic segmentation techniques were used to extract road features. Field experiments were conducted in Tibet, China, and 1375 typical road scenarios were picked out. By controlling variables, the driving speed stimulated by each piece of information was evaluated. Prediction models for geometry-determined speed and environment-modified speed were built using the random forest algorithm and convolutional neural network. Results showed that the curvature of the right boundary in “near scene” and “middle scene”, and the density of roadside greenery and residences play an important role in regulating driving speed. The findings of this research could provide qualitative and quantitative suggestions for the optimization of road design that would guide drivers to choose more reasonable driving speeds.

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“…Speed is a crucial factor affected the occurrence and consequences of road traffic crashes [1,2]. Therefore, great importance should be assigned to speed management.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Quantifying the Effects of Visual Road Information on Drivers’ Speed Choices to Promote Self-Explaining Roads

Qin

Chen

Lin

2020

IJERPH

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“…Yeung et al [4] studied the spatial distribution characteristics of the degree. Tanishita [5] studied the relationship between the speed change and the traffic accident rate. This paper focuses on analyzing the correlation between the number of traffic accidents and traffic flow characteristics and longitudinal position of the extra long tunnel.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Relationship between the Number of Traffic Accidents and the Traffic Flow & Section Location in Extra Long Tunnel

Ma¹,

Liu²,

Cai³

2020

ENG

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In order to study the influence of the traffic characteristics on traffic accidents in extra long tunnel, the main measurement indicators of traffic flow during the time of traffic accidents are matched with the accident information to form a data set of the number of traffic accidents and the hourly traffic flow of the accident. Vehicle ratio and the number of accidents are mainly used as the characteristic indicators of traffic flow. At the same time, the longitudinal distribution law of the average speed of traffic flow and the number of traffic accidents in the extra long tunnel is studied. Based on the superposition principle, the extra long tunnel is divided into 5 traffic safety zones. This paper analyzes the distribution of time, morphology, cause of accident, and other characteristics in different traffic safety zones, finding that the shape of traffic accidents in extra long tunnel is mainly rear-end collisions. Improper operation and illegal lane changes are the main causes of accidents.

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“…A free lane change considers a lane change of a vehicle to obtain speed advantages or more space [43]. Some previous studies have focused on the relationship between speed variations and crash rates or crash risk [19,31,[44][45][46][47], while other studies have examined the number of lane changes under different traffic flow parameters to analyze the capacity of multilane roads [39,[48][49][50]. However, these studies lacked research specifically regarding the identification and quantification of significant traffic parameters that affect lane changing using real data by considering lane changing as one of the essential subjects of sustainable traffic safety.…”

Section: Introductionmentioning

confidence: 99%

Simulation-Based Analysis of the Effect of Significant Traffic Parameters on Lane Changing for Driving Logic “Cautious” on a Freeway

Farooq

Juhász

2019

Sustainability

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Lane changing of traffic flow is a complicated and significsant behavior for traffic safety on the road. Frequent lane changing can cause serious traffic safety issues, particularly on a two-lane road section of a freeway. This study aimed to analyze the effect of significant traffic parameters for traffic safety on lane change frequency using the studied calibrated values for driving logic “conscious” in VISSIM. Video-recorded traffic data were utilized to calibrate the model under specified traffic conditions, and the relationship between observed variables were estimated using simulation plots. The results revealed that changes in average desired speed and traffic volume had a positive relationship with lane change frequency. In addition, lane change frequency was observed to be higher when the speed distribution was set large. 3D surface plots were also developed to show the integrated effect of specified traffic parameters on lane change frequency. Results showed that high average desired speed and large desired speed distribution coupled with high traffic volume increased the lane change frequency tremendously. The study also attempted to develop a regression model to quantify the effect of the observed parameters on lane change frequency. The regression model results showed that desired speed distribution had the highest effect on lane change frequency compared to other traffic parameters. The findings of the current study highlight the most significant traffic parameters that influence the lane change frequency.

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Impact of vehicle speeds and changes in mean speeds on per vehicle-kilometer traffic accident rates in Japan

Cited by 45 publications

References 19 publications

Quantifying the Effects of Visual Road Information on Drivers’ Speed Choices to Promote Self-Explaining Roads

Quantifying the Effects of Visual Road Information on Drivers’ Speed Choices to Promote Self-Explaining Roads

Analysis of the Relationship between the Number of Traffic Accidents and the Traffic Flow & Section Location in Extra Long Tunnel

Simulation-Based Analysis of the Effect of Significant Traffic Parameters on Lane Changing for Driving Logic “Cautious” on a Freeway

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Impact of vehicle speeds and changes in mean speeds on per vehicle-kilometer traffic accident rates in Japan

Cited by 45 publications

References 19 publications

Quantifying the Effects of Visual Road Information on Drivers’ Speed Choices to Promote Self-Explaining Roads

Quantifying the Effects of Visual Road Information on Drivers’ Speed Choices to Promote Self-Explaining Roads

Analysis of the Relationship between the Number of Traffic Accidents and the Traffic Flow &amp; Section Location in Extra Long Tunnel

Simulation-Based Analysis of the Effect of Significant Traffic Parameters on Lane Changing for Driving Logic “Cautious” on a Freeway

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Analysis of the Relationship between the Number of Traffic Accidents and the Traffic Flow & Section Location in Extra Long Tunnel