Browse > Article
http://dx.doi.org/10.12815/kits.2018.17.5.14

Exploring the Impacts of Autonomous Vehicle Implementation through Microscopic and Macroscopic Approaches  

Yook, Dong-Hyung (National Infrastructure Research Division, Korea Research Institute for Human Settlements)
Lee, Baeck-Jin (National Infrastructure Research Division, Korea Research Institute for Human Settlements)
Park, Jun-Tae (Dept. of Transportation System Engineering, Korea National University of Transportation)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.17, no.5, 2018 , pp. 14-28 More about this Journal
Abstract
Thanks to technical improvement on the vehicle to vehicle communication and the intelligent transportation system, gradual introduction of the autonomous vehicles is expected soon in the market. The study analyzes the autonomous vehicles' impacts on the network efficiencies. In order to measure the network efficiencies, the study applies the sequential procedures that combines the microscopic and macroscopic simulations. The microscopic simulation attends to the capacity changes due to the autonomous vehicles' proportions on the roadway while the macroscopic simulation utilizes the simulation results in order to identify the network-wide improvement. As expected, the autonomous vehicles efficiently utilizes the existing capacity of the roadway than the human driving does. Particularly, the maximum capacity improvements are expected by the 190.5% on the expressway. The significant capacity change is observed when the autonomous vehicles' proportions are about 80% or more. These improvements are translated into the macroscopic model, which also yields overall network efficiency improvement by the autonomous vehicles' penetration. However, the study identifies that the market debut of the autonomous vehicles does not promise the free flow condition, which implies the possible needs of the system optimal routing scheme for the era of the autonomous vehicles.
Keywords
Autonomous vehicles; Roadway capacity; VISSIM; Volume-delay function; Simulation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Ko Y., Yook D. and Noh J. (2017), Traffic network capacity change effect due to the autonomous vehicle's proportions, A Study on the national territory 93issue, Korea Research Institute for Human Settlements, pp.17-24.
2 Lee B., Yook D., Kim K., Cho C., Jang K., Bellemans T. and Cho S. (2017), An Evaluation of the impacts of Autonomous Vehicles on Use of National Territory, Korea Research Institute for Human Settlements, Sejong.
3 Litman T. (2013), Autonmous vehicle implementation predicitons; Implications for transport planning, Victoria Transport Policy Institute.
4 Milanes V. and Shladover S. E. (2014), "Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data," Transportation Research Part C 48, pp.285-300.   DOI
5 Moon Y. (2015), "Autonomous system development direction and traffic-flow measure of effectiveness," Telecommunications Review, vol. 25, no. 3, SKtelecom, pp.442-448.
6 National Statistical Office (2016), future population projection: 2015-2065years, report material.
7 Park I., Lee J., Lee J. and Hwang K. (2015), "Highway traffic-flow effect due to the autonomous vehicle's proportions," Korea ITS Society Journal, vol. 14, no. 6, pp.21-36.
8 Pinjari A. R., Augustin B. and Menon N. (2013), Highway capacity impacts of autonomous vehicles: An assessment, University of South Florida.
9 Talebpour A. and Mahmassani H. S. (2016), "Influence of connected and autonomous vehicles on traffic flow stability and throughput," Transportation Research Part C 71, pp.143-163.   DOI
10 Tientrakool P., Ho Y. -C. ans Maxemchuk N. F. (2011), "Highway capacity benefits from using vehicle-to-vehicle communication and sensors for collision avoidance," Vehicular Technology Conference, IEEE, pp.1-5.
11 Dokic J., Muller B. and Meyer G. (2015), European roadmap smart systems for automated driving, European Technology Platform on Smart System Integration.
12 Vissim, PTV Vissim manual, PTV Group, Accessed http://vision-traffic.ptvgroup.com/en-us/trainingsupport/support/ptv-visum/, 2017.12.
13 Wardrop J. G. (1952), "Some theoretical aspects of road traffic research," Proc. Inst. Civil Engr., vol. 2, no. 1, pp.325-378.
14 Zhou J. Ma F. and Demetsky M. J. (2012), "Evaluating mobility and sustainability benefits of cooperative adaptive cruise control using agent-based modeling approach," Systems and Information Engineering Design Symposium, pp.74-78.
15 Anderson J. M., Kalar N., Stanely K. D., Sorensen P., Samaras C. and Olumatola O. A. (2014), Autonomous vehicle technology; A guide for policymakers, RAND Corporation
16 Bose A. and Ioannou P. A. (2003), "Analysis of Traffic Flow with Mixed Manual and Semiautomated Vehicles," IEEE Transactions on Intelligent Transportation Systems, vol. 4, pp.173-188.   DOI
17 Center for Urban Transportation Research (CUTR) (2013), Highway capacity Impacts of autonomous vehicles: an assessment.
18 Department for Transport (DfT) (2016), Research on the Impacts of Connected and Autonomous Vehicles (CAVs) on Traffic Flow.
19 Fernandez P. and Nunes U. (2012), "Platooning with IVC-enabled autonomous vehicles: Strategies to mitigate communication delays, improve safety and traffic flow," IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 1, pp.91-106.   DOI
20 Kesting A., Treiber M. and Helbing D. (2010), "Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity," Philos. Trans. Roy. Soc. A 368, pp.4585-4605.   DOI