A New Traffic Conflict Measure for Electric Bicycles at Intersections

  • Zhizhou Wu Tongji University
  • Xin Zeng Tongji University
  • Ling Wang Tongji University
Keywords: electric bicycle, traffic conflict, conflict measure, time to collision, kinetic energy, threshold

Abstract

As electric bicycles (e-bikes) are becoming popular in China, concerns have been raised about their safety conditions. A traffic conflict technique is commonly used in traffic safety analysis, and there are many conflict measures designed for cars. However, e-bikes have high flexibility to change speed and trajectories, which is different from cars, so the conflict measures defined for e-bikes need to be independently explored. Based on e-bike driving characteristics, this paper proposes a new measure, the Integrated Conflict Intensity (ICI), for traffic conflicts involving e-bikes at intersections. It measures the degree of dangerousness of a conflict process, with consideration of both conflict risk and conflict severity. Time to collision is used to measure the conflict risk. Relative kinetic energy is used to measure the conflict severity. ICI can be calculated based on video analysis. The method of determining ICI thresholds for three conflict levels (serious, less serious, and slight) and two conflict types (conflicts between two e-bikes, and conflicts between an e-bike and a car) is put forward based on the questionnaires about safety perception of e-bike riders, which is regarded as the criterion of e-bike safety conditions at intersections. The video recording and a questionnaire survey about conflicts involving e-bikes at intersections have been conducted, and the unified thresholds applicable to different intersections have been determined. It is verified that ICI and its thresholds meet the criterion of e-bike safety conditions. This work is expected to be used in the selection of intersections for safety improvement of e-bike traffic.

References

Bai L, Liu P, Chen Y, Zhang X, Wang W. Comparative Analysis of the Safety Effects of Electric Bikes at Signalized Intersections. Transportation Research Part D: Transport and Environment. 2013;20: 48-54.

Perkins SR, Harris JL. Traffic Conflict Characteristics: Accident Potential at Intersections. Highway Research Record. 1968;225: 35-43.

Baker WT. An Evaluation of the Traffic Conflicts Technique. The 51st Annual Meeting of the Highway Research Board, 17-21 January 1972, Washington, D.C.; 1972.

Lin S, He M, Tan Y, He M. Comparison Study on Operating Speeds of Electric Bicycles and Bicycles: Experience from Field Investigation in Kunming, China. Transportation Research Record: Journal of the Transportation Research Board. 2008;2048: 52-59.

Schepers JP, Fishman E, Hertog PD, Wolt KK, Schwab AL. The Safety of Electrically Assisted Bicycles Compared to Classic Bicycles. Accident Analysis & Prevention. 2014;73: 174-180.

Gorenflo C, Rios I, Golab L, Keshav S. Usage Patterns of Electric Bicycles: An Analysis of the WeBike Project. Journal of Advanced Transportation. 2017; Article ID 3739505.

Hertach P, Uhr A, Niemann S, Cavegn M. Characteristics of Single-vehicle Crashes with E-bikes in Switzerland. Accident Analysis & Prevention. 2018;117: 232-238.

Bai L, Liu P, Wang W, Chen Y. Characteristics of Traffic Conflicts between Electric Bicycles and Motor Vehicles at Unsignalized Intersections. The 12th COTA International Conference of Transportation Professionals, 3-6 August 2012, Beijing, China; 2012.

Hayward JC. Near-Miss Determination through Use of a Scale of Danger. Highway Research Board. 1972;384: 24-34.

Hydén C, Linderholm L. The Swedish Traffic-Conflicts Technique. In: Asmussen E. (ed.) International Calibration Study of Traffic Conflict Techniques. Berlin, Heidelberg: Springer; 1984. p. 133-139.

Hirst S, Graham R. The Format and Presentation of Collision Warnings. In: Ergonomics and safety of intelligent driver interfaces. Mahwah, USA: Lawrence Erlbaum Associates; 1997. p. 203-219.

Allen BL, Shin BT, Cooper P. Analysis of Traffic Conflicts and Collisions. Transportation Research Record: Journal of the Transportation Research Board. 1978;667: 67-74.

Hydén C. A Traffic-Conflicts Technique for Determining Risk. Bulletin 15B. Lund, Sweden: Department of Traffic Planning and Engineering, Lund Institute of Technology; 1977.

Minderhoud M, Bovy PH. Extended Time-to-collision Measures for Road Traffic Safety Assessment. Accident Analysis & Prevention. 2001;33: 89-97.

Chen P, Zeng W, Yu G, Wang Y. Surrogate Safety Analysis of Pedestrian-Vehicle Conflict at Intersections Using Unmanned Aerial Vehicle Videos. Journal of Advanced Transportation. 2017; Article ID 5202150.

Kloeden C, Ponte G, Mclean J. Travelling Speed and the Risk of Crash Involvement: The South Australian Experience. National Speed and Road Safety Conference, 23-24 August 2001, Adelaide, Australia; 2001.

Shelby SG. Delta-V as a Measure of Traffic Conflict Severity. The 3rd International Conference on Road Safety and Simulation, 14-16 September 2011, Indianapolis, USA; 2011.

Chen Y, Liu P, Wang W. Using Kinetic Energy to Evaluate the Severity of Different Types of Traffic Conflict at Signalized Intersections. The 11th International Conference of Chinese Transportation Professionals, 14-17 August 2011, Nanjing, China; 2011.

Sobhani A, Young W, Logan D, Bahrololoom S. A Kinetic Energy Model of Two-Vehicle Crash Injury Severity. Accident Analysis & Prevention. 2011;43(3): 741-754.

Fazekas A, Hennecke F, Kalló E, Oeser M. A Novel Surrogate Safety Indicator Based on Constant Initial Acceleration and Reaction Time Assumption. Journal of Advanced Transportation. 2017; Article ID 8376572.

Alhajyaseen WKM. The Development of Conflict Index for the Safety Assessment of Intersections Considering Crash Probability and Severity. Procedia Computer

Science. 2014;32: 364-371.

Chen J, Xie Z, Qian C. Traffic Conflict Models on Shared-Use Paths Used by Pedestrians, Cyclists, and Electric Bicycle Riders. The 10th International Conference of Chinese Transportation Professionals, 4-8 August 2010, Beijing, China; 2010.

Dong B-J. The Study of Characteristics of Electric Bicycle. Master’s thesis. Tongji University, Shanghai; 2008.

Hydén C. The Development of a Method for Traffic Safety Evaluation: the Swedish Traffic Conflicts Technique. Bulletin 70. Lund, Sweden: Department of Traffic Planning and Engineering, Lund Institute of Technology; 1987.

Svensson A. A Method for Analysing the Traffic Process in a Safety Perspective. Bulletin 166. Lund, Sweden: Department of Traffic Planning and Engineering, Lund Institute of Technology; 1998.

Lowry M, McGrath R, Scruggs P, Paul D. Practitioner Survey and Measurement Error in Manual Bicycle and Pedestrian Count Programs. International Journal of Sustainable Transportation. 2016;10(8): 720-729.

Wang Y, Xing F, Zhang L. Research on the Vehicle-Bicycle Conflict Model at Signalized Intersection. International Conference on Green Intelligent Transportation System and Safety, 1-4 July 2016, Nanjing, China; 2016.

Published
2020-05-11
How to Cite
1.
Wu Z, Zeng X, Wang L. A New Traffic Conflict Measure for Electric Bicycles at Intersections. Promet [Internet]. 2020May11 [cited 2024Nov.21];32(3):309-20. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/3222
Section
Articles