Effects of longitudinal speed reduction markings on left-turn direct connectors.

Longitudinal speed reduction markings (LSRMs) are designed to alert drivers to an upcoming change in roadway geometry (e.g. direct connectors with smaller radii). In Beijing, LSRMs are usually installed on direct connectors of urban expressways. The objective of this paper is to examine the influence of LSRMs on vehicle operation and driver behavior, and evaluate the decelerating effectiveness of LSRMs on direct connectors with different radii. Empirical data were collected in a driving simulator, and indicators representing vehicle operation status and driving behavior were proposed. To examine the influence of LSRMs, an analysis segment was defined, which begins 500 m prior to the entering point of the connector and ends at the exiting point of the connector. Furthermore, the analysis segment was evenly divided into a series of subsections; the length of each subsection is 50 m. This definition is introduced based on the assumption that drivers would decelerate smoothly in advance of the connector. The analysis results show that drivers tend to decelerate earlier when the radii were 200 m or 300 m. When approaching the connector, drivers tend to decelerate at 500 m thru 250 m in advance of the connector with a 200 m radius; deceleration happens at 300 m-0 m in advance of the connector with a 300 m radius. On the connector, drivers controlled the throttle pedal use at 100 thru 300 m after the entering point when the radius was 200 m; deceleration occurred in two regions when the radius was 300 m: 0 m-900 m from the entering point, and the last 1,000 m of the connector. The analytical results further revealed that LSRMs would be effective at reducing speeds when the radius of the direct connector was 300 m.

[1]  Shang Tin Transverse Widths of Highway Optical Illusion Deceleration Marking Based on Changing Rate of Drivers' Pupil Area , 2016 .

[2]  Tom Brijs,et al.  Additional road markings as an indication of speed limits: results of a field experiment and a driving simulator study. , 2010, Accident; analysis and prevention.

[3]  Richard van der Horst,et al.  Influence of Roadside Infrastructure on Driving Behavior: Driving Simulator Study , 2007 .

[4]  Lu Jian Effectiveness and Adaptability Analysis of Typical Speed Control Measures , 2010 .

[5]  Han Ding,et al.  Experimental research on the effectiveness and adaptability of speed reduction markings in downhill sections on urban roads: a driving simulation study. , 2015, Accident; analysis and prevention.

[6]  Jian Rong,et al.  Experimental research on the effectiveness of speed reduction markings based on driving simulation: a case study. , 2013, Accident; analysis and prevention.

[7]  Zhang Li-xi,et al.  Analysis of effects of driver factors on road traffic accident indexes , 2014 .

[8]  Wei Wang,et al.  Effects of parallelogram-shaped pavement markings on vehicle speed and safety of pedestrian crosswalks on urban roads in China. , 2016, Accident; analysis and prevention.

[9]  David Shinar,et al.  Effect of shoulder width, guardrail and roadway geometry on driver perception and behavior. , 2011, Accident; analysis and prevention.

[10]  Michael A. Regan,et al.  The Possible Safety Benefits of Enhanced Road Markings: A Driving Simulator Evaluation , 2006 .

[11]  A Drakopoulos,et al.  EVALUATION OF THE CONVERGING CHEVRON PAVEMENT MARKING PATTERN AT ONE WISCONSIN LOCATION , 2003 .

[12]  Yu Jinli Transverse Rumble Strips Design And Comfort Evaluation at Arterial Highway Unsignalized Intersection , 2015 .

[13]  David A Noyce,et al.  Effectiveness of Experimental Transverse-Bar Pavement Marking as Speed-Reduction Treatment on Freeway Curves , 2008 .

[14]  Xiaohua Zhao,et al.  Effects of Chevron Alignment Signs on Driver Eye Movements, Driving Performance, and Stress , 2013 .