Browse > Article
http://dx.doi.org/10.7470/jkst.2017.35.4.332

Lane Change Behavior of Manual Vehicles in Automated Vehicle Platooning Environments  

LEE, Seol Young (Transportation and Logistics Engineering, Hanyang University)
OH, Cheol (Transportation and Logistics Engineering, Hanyang University)
Publication Information
Journal of Korean Society of Transportation / v.35, no.4, 2017 , pp. 332-347 More about this Journal
Abstract
Analysis of the interaction between the automated vehicles and manual vehicles is very important in analyzing the performance of automated cooperative driving environments. In particular, the automated vehicle platooning can affect the driving behavior of adjacent manual vehicles. The purpose of this study is to analyze the lane change behavior of the manual vehicles in automated vehicle platonning environment and to conduct the experiment and questionnaire surveys in three stages. In the first stage, a video questionnaire survey was conducted, and responsive behaviors of manual vehicles were investigated. In second stage, the driving simulator experiments were conducted to investigate the lane change behaviors of in automated vehicle platonning environments. To analyze the lane change behavior of the manual vehicles, lane change durations and acceleration noise, which are indicators of traffic flow stability, were used. The driving behavior of manual vehicles were compared across different market penetration rates (MPR) of automated vehicles and human factors. Lastly, NASA-TLX (NASA Task Load Index) was used to evaluate the workload of the manual vehicle drivers. As a result of the analysis, it was identified that manual vehicle drivers had psychological burdens while driving in automated vehicle platonning environments. Lane change durations were longer when the MPR of the automated vehicles increased, and acceleration noise were increased in the case of 30-40 years old or female drivers. The results from this study can be used as a fundamental for more realistic traffic simulations reflecting the interaction between the automated vehicles and manual vehicles. It is also expected to effectively support the establishment of valuable transportation management strategy in automated vehicle environments.
Keywords
automated vehicle platooning; driving simulator; lane change behavior; manual vehicle; questionnaire survey;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 Alexander D., Gartner J. (2013), Self-Driving Vehicles, Autonomous Parking, and Other Advanced Driver Assistance Systems, Global Market Analysis and Forecasts.
2 Aria E., Olstam J., Schwietering C. (2016), Investigation of Automated Vehicle Effects on Driver's Behavior and Traffic Performance, Transp. Res. Procedia 15, 761-770.   DOI
3 De Winter J. C. F., Happee R., Martens M. H., Stanton N. A. (2014), Effects of Adaptive Cruise Control and Highly Automated Driving on Workload and Situation Awareness: A Review of the Empirical Evidence, Transp. Res. Part F Traffic Psychol. Behav, 27, 196-217.   DOI
4 Golob T. F., Recker W. W. (2004), A Method for Relating Type of Crash to Traffic Flow Characteristics on Urban Freeways, Transp. Res. Part A Policy Pract. 38(1), 53-80.
5 Gouy M., Wiedemann K., Stevens A., Brunett G., Reed N. (2014), Driving Next to Automated Vehicle Platoons: How do Short Time Headways Influence Non-platoon Drivers' Longitudinal Control?, Transp. Res. Part F Traffic Psychol. Behav, 27, 264-273.   DOI
6 Jeon J. D., Lee Y. H., Choi Y. C. (2009), A Study on the Operational Impact of Abnormal Aircraft in ATC Operations: Focusing on Situation Awareness and Workload, J Korean Soc Aviat. and Aeronaut, 17(3), The Korean Society for Aviation and Aeronautics, 32-39.
7 Jeon Y. W., Daimon T., Kawashima H., Kwon K. S. (2009), C, Journal of the J. Soc. Comparison on the Driver Characteristics and Subjective Workload According to the Road Direction Change Using Driving Simulator Korea Ind. Syst. Eng., 32(1), The Society of Korea Industrial and Systems Engineering, 26-33.
8 Jeong E., Oh C., Lee G., Cho H. (2014), Safety Impacts of Intervehicle Warning Information Systems for Moving Hazards in Connected Vehicle Environments, Transp. Res. Rec. J. Transp. Res. Board 11-19.
9 Kim J. Y., Park J. S., Cho Y. J. (2010), Biomechanical Measuring Techniques for Evaluation of Workload, J. Ergon. Soc. Korea, 29(4), The Ergonomics Society of Korea, 445-453.   DOI
10 Ko H.G., Kim J. H., Seong M. J., Lee J. S. (2012), Safe Driving Inducement Effect Analysis of Smart Delineator Through Driving Simulation Evaluation, J. Korean Soc. Transp., 30(4), Korean Society of Transportation, 43-59.   DOI
11 Oh D. W., Oh C., Chang M.S. (2009), Methodology for Evaluating Freeway Interchange Spacing for High Design Speed based on Traffic Safety: Focused on Analysis of Acceleration Noise Using Microscopic Traffic Simulations, J. Korean Soc. Transp., 27(5), Korean Society of Transportation, 145-153.
12 Larburu M., Sanchez J., Rodriguez D. J. (2010), Safe Road Trains for Environment: Human Factors' Aspects in Dual Mode Transport Systems, ITS World Congr. Busan, 1-12.
13 Lee W. S., Park J. W., Kim S. J., Yoon S. H., Xiappeng Y., Ryu H. C. et al. (2010), Development of an Analysis System for Bio-signal and Driving Performance Measurements, J. Ergon. Soc. Korea, 29(1), The Ergonomics Society of Korea, 47-53.   DOI
14 Naujoks F., Purucker C., Neukum A., Wolter S., Steiger R. (2015), Controllability of Partially Automated Driving Functions - Does It Matter Whether Drivers are Allowed to Take Their Hands off the Steering Wheel?, Transp. Res. Part F Traffic Psychol. Behav., 35, 185-198.   DOI
15 Park Seri., Ritchie S. G. (2004), Exploring the Relationship Between Freeway Speed Variance, Lane Changing, and Vehicle Heterogeneity, Transportation Research Board 83rd Annual Meeting, Transportation Research Board, Washington, D.C.
16 Talebpour A., Mahmassani H. S. (2016), Influence of Connected and Autonomous Vehicles on Traffic Flow Stability and Throughput, Transp. Res. Part C, Emerging Technologies, 71, 143-163.   DOI
17 Lee C., Hellinga B., Saccomanno F. (2006), Evaluation of Variable Speed Limits to Improve Traffic Safety, Transp. Res. Part C, Emerging Technologies, 14(3), 213-228.   DOI
18 Van Arem, B., Van Driel C. J., Visser R. (2006), The Impact of Cooperative Adaptive Cruise Control on Traffic-flow Characteristics, IEEE Trans. Intell. Transp. Syst., 7(4), 429-436.   DOI
19 Varotto S. F., Hoogendoorn R. G., van Arem B., Hoogendoorn S. P. (2015), Empirical Longitudinal Driving Behaviour in case of Authority Transitions Between Adaptive Cruise Control and Manual Driving, J. Transp. Res. Board, 2489, Transportation Research Record, 105-114.   DOI