JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Impacts of Automated Vehicles on Freeway Traffic-flow - Focused on Seoul-Singal Basic Sections of GyeongBu Freeway -
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Impacts of Automated Vehicles on Freeway Traffic-flow - Focused on Seoul-Singal Basic Sections of GyeongBu Freeway -
Park, In-seon; Lee, Jong-deok; Lee, Jae-yong; Hwang, Kee-yeon;
  PDF(new window)
 Abstract
These days Automated Vehicle(AV) has been receiving attention as a fundamental solution to resolve the various transportation problems and various researches related to the benefits of AV have been done. However, previous researches mainly analyzed the effects in the virtual network. The purpose of this research is to predict and to find out the benefits by introducing the Automated Vehicle to present road traffic system. Thus, the study analyzes the traffic-flow changes of Gyeongbu freeway Seoul-Singal basic section which is planned for setting the test-bed. The results show that Automated Vehicle can have negative effects on the traffic-flow in low volume of LOS A and B. However, the average speed increases and the traffic density decreases in more than LOS C, the traffic volume increase. Therefore, the introduction of Automated Vehicle achieves positive effect on various transportation problems such as the traffic congestion.
 Keywords
Automated Vehicle;Traffic-flow;Freeway;Agent-Based-Model;NetLogo;
 Language
Korean
 Cited by
 References
1.
Ministry of Land, Infrastructure and Transport, Support plan for automated vehicle commercialization, 2015.

2.
I. B. Yang, "Trends of intelligent vehicles technology," Eloctronic Componets, pp.26-31, 2008.

3.
J. D. Moon and K. O. Cho, "Direction of technology development of MOTIE in autonomous driving vehicle," Korea Evaluation Institute of Industrial Technology, PD Issue Report, vol. 14-12, pp.33-43, Dec. 2014.

4.
J. VanderWerf, M. T. Khasawneh, J. Zhang and S. R. Bowling, "Effects of adaptive cruise control systems on highway traffic flow capacity," Transportation Research Record, Journal of the Transportation Research Board, vol. 1800, pp.78-84, 2002. crossref(new window)

5.
A. Kesting, M. Treiber, M. Schonhof and D. Helbing, "Adaptive cruise control design for active congestion avoidance," Transportation Research Part C, vol. 16, pp.668-683, 2008. crossref(new window)

6.
J. Ma, F. Zhou and M. J. Demetsky, "Evaluating mobility and sustainability benefits of cooperative adaptive cruise control using agent-based modeling approach," Systems and Information Engineering Design Symposium, pp.74-78, Apr. 2012.

7.
G. M. Arnaout and S. Bowling, "A progressive deployment strategy for cooperative adaptive cruise control to improve traffic dynamics," International Journal of Automation and Computing, vol. 11, no. 1, pp.10-18, Feb. 2014. crossref(new window)

8.
J. D. Lee, I. S. Park and K. Y. Hwang, "Comparative traffic analysis between electric personal mobility and partial autonomous vehicle using agent-based model," The Korea Transport Institute, Journal of Transportation Research, vol. 22, no. 1, pp.27-44, Mar. 2015.

9.
S. B. Chae and H. H. Cheng, "Agent-based model and application," The Journal of the Korean Physical Society, pp.10-14, Oct. 2007.

10.
C. W. Ahn, M. S. Choi, Y. S. Bae, E. H. Paik, E. J. Choi and K. H. Kim, "Trend in micro simulation technologies for population dynamics," Electronics and Telecommunications Trends, vol. 29, no. 4, pp.11-20, Aug. 2014.

11.
J. H. Yang and H. K. Kim, Understanding and application of agent-based model : urban planning and transportation, Dong-A Press, pp.25-29, 2012.

12.
J. H. Lee, "Application of agent-based modelling on transport systems analysis," Journal of Korea Transportation Research Society, vol. 21, no. 1, pp.147-156, Feb. 2003.

13.
A. Lansdowne, "Traffic simulation using agent-based modelling," University of the West of England, 2006.

14.
G. M. Arnaout, M. T. Khasawneh, J. Zhang and S. R. Bowling, "An intelliDrive application for reducing traffic congestions using agent-based approach," Systems and Information Engineering Design Symposium, pp.221-224, Apr. 2010.

15.
I. J. Lim, K. Y. Hwang and S. Y. Lee, "Analyzing macro-traffic impacts of incremental diffusion of personal mobility on two-lane freeways," The Korea Transport Institute, Journal of Transportation Research, vol. 22, no. 3, pp.55-71, Sept. 2015.

16.
Ministry of Land, Infrastructure and Transport, Korea Highway Capacity Manual, 2013.

17.
S. E. Shladover, C. Nowakowski, X. Y. Lu and R. Ferlis, "Cooperative adaptive cruise control definitions and operating concepts," Transportation Research Board 94th Annual Meeting, 2015.

18.
B. van Arem, C. J. G. van Driel and R. Visser, "The impact of cooperative adaptive cruise control on traffic-flow characteristics," Intelligent Transportation Systems, vol. 7, no. 4, pp.429-436, 2006. crossref(new window)

19.
Y. J. Moon, J. J. Lee, B. K. Park, K. W. Kang and M. H. Lim, "Research for traffic model revision affected by ITS operation," The Korea Transport Institute, Research Series, vol. 2013-07, Oct. 2013.

20.
M. Treiber, A. Hennecke and D. Helbing, "Congested traffic states in empirical observations and microscopic simulations," Physical Review E, vol. 62, no. 2, pp.1805-1823, Aug. 2000. crossref(new window)

21.
M. Treiber and A. Kesting, "Traffic flow dynamics, data, models, and simulation," Springer-Verlag Berlin Heidelberg, 2013.

22.
Ministry of Land, Infrastructure and Transport, Road design criteria, 2012.

23.
A. Kesting, M. Treiver and D. Helbing, "General lane-changing model MOBIL for car-following models," Transportation Research Record, Journal of the Transportation Research Board, vol. 1999, pp.86-94, 2007. crossref(new window)

24.
T. C. Kim and S. J. Lee, "What is good motion?," MOTOR Magazine, pp.58-63, May. 2006.

25.
N. L. Broen and D. P. Chiang, "Braking response times for 100 drivers in the avoidance of an unexpected obstacle as measured in a driving simulator," Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 40, no. 18, pp.900-904, 1996.

26.
D. Fambro, R. Koppa, D. Picha and K. Fitzpatrick, "Driver perception-brake response in stopping sight distance situations," Transportation Research Record, Journal of the Transportation Research Board, vol. 1628, pp.1-7, 1998. crossref(new window)

27.
M. Green, "How long does it take to stop? methodological analysis of driver perception-brake times," Transportation human factors, vol. 2, no. 3, pp.195-216, 2000. crossref(new window)

28.
J. H. Ju, S. W. Ha, Y. H. Jung and C. S. Lee "A study of person response time on various scenario driver simulation," Journal of Korea Transportation Research Society, vol. 63, pp.452-457, Busan, Korea, Oct. 2010.

29.
M. S. Jang, S. K. Lee, J. S. Kim, S. M. Hong and K. J. Lee "The chronological evolution of drivers's perception reaction time," Transportation Technology and Policy, vol. 18, no. 6, pp.55-61, Dec. 2011.

30.
S. B. Lee, M. S. Chang, C. U. Do and W. C. Kim "A study for human factors in road design," The Korea Transport Institute, Research Series, vol. 2001-01, Jan. 2001.

31.
Fire Safety Authority of Gwangju, Safety education textbook for vehicle operators, 2014.