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http://dx.doi.org/10.12815/kits.2020.19.3.38

Development of Integrated Traffic Control of Dynamic Merge and Lane Change at Freeway Work Zones in a Connected and Automated Vehicle Environment  

Kim, Yongju (Dept. of Civil and Environmental Eng., Seoul National University)
Ka, Dongju (Dept. of Civil and Environmental Eng., Seoul National University)
Kim, Sunho (Dept. of Civil and Environmental Eng., Seoul National University)
Lee, Chungwon (Dept. of Civil and Environmental Eng., Seoul National University)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.19, no.3, 2020 , pp. 38-51 More about this Journal
Abstract
A bottleneck and congestion occur when a freeway is closed due to maintenance and construction activities on the freeway. Although various traffic managements have been developed to improve the traffic efficiency at freeway work zones, such as merge control, there is a limit to those controls with human drivers. On the other hand, the wireless communication of connected and automated vehicles (CAVs) enables the operation of advanced traffic management. This study developed a traffic control strategy that integrates Dynamic Merge Control (DMC) and Lane Change Control (LCC) in a CAV environment. DMC operates as an either early or late merge based on the occupancy rate of upstream of the work zone. The LCC algorithm determines the number of vehicles that need to change their lane to balance the traffic volume on open lanes. The simulation results showed that integrated control improves the cumulative vehicle count, average speed upstream, and average network travel time.
Keywords
Work zone; Traffic management; Connected and automated vehicle; Integrated traffic control;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Aria E.(2016), Investigation of automated vehicle effects on driver's behavior and traffic performance, Ph.D Thesis, Linkopings Universitet, Linkoping, Sweden, pp.31-37.
2 Atkins(2016), Research on the Impacts of Connected and Autonomous Vehicles (CAVs) on Traffic Flow, Stage 2: Traffic Modelling and Analysis Technical Report, Department for Transport, p.52.
3 Cassidy M. J. and Rudjanakanoknad J.(2005), "Increasing the capacity of an isolated merge by metering its on-ramp," Transportation Research Part B: Methodological, vol. 39, no. 10, pp.896-913.   DOI
4 Datta T., Schattler K. and Kar P.(2004), Development and Evaluation of an Advanced Dynamic Lane Merge Traffic Control System for 3 to 2 Lane Transition Areas in Work Zones, MDOT RC-1451[R], Michigan: Michigan Department of Transportation, pp.7-42.
5 Fei L., Zhu H. B. and Han X. L.(2016), "Analysis of traffic congestion induced by the work zone," Physica A: Statistical Mechanics and Its Applications, vol. 450, pp.497-505.   DOI
6 Ge Q. and Menendez M.(2013), "A Simulation Study for the Static Early Merge and Late Merge Controls at Freeway Work Zones," Swiss Transport Research Conference, Monte Verita/Ascona, Switzerland, p.19.
7 Ghiasi A., Hussain O., Qian Z. S. and Li X.(2017), "A mixed traffic capacity analysis and lane management model for connected automated vehicles: A Markov chain method," Transportation Research Part B: Methodological, vol. 106, pp.266-292.   DOI
8 Hu X. and Sun J.(2019), "Trajectory optimization of connected and autonomous vehicles at a multilane freeway merging area," Transportation Research Part C: Emerging Technologies, vol. 101, pp.111-125.   DOI
9 Jia D. and Ngoduy D.(2016), "Enhanced cooperative car-following traffic model with the combination of V2V and V2I communication," Transportation Research Part B: Methodological, vol. 90, pp.172-191.   DOI
10 Kang K. P. and Chang G. L.(2009), "Lane-based dynamic merge control strategy based on optimal thresholds for highway work zone operations," Journal of Transportation Engineering, vol. 135, no. 6, pp.359-370.   DOI
11 Kang K. P., Chang G. L. and Paracha J.(2006), "Dynamic late merge control at highway work zones: evaluations, observations, and suggestions," Transportation Research Record, vol. 1948, no. 1, pp.86-95.   DOI
12 Kim S., Lee J., Kim Y. and Lee C.(2018), "Simulation-Based Analysis on Dynamic Merge Control at Freeway Work Zones in Automated Vehicle Environment," Journal of the Korean Society of Civil Engineers, vol. 38, no. 6, pp.867-878.   DOI
13 Lee M., Kim D., Kim H. and Lee C.(2013), "Capacity of Urban Freeway Work Zones," Journal of the Korean Society of Civil Engineers, vol. 33, no. 3, pp.1123-1130.   DOI
14 Lentzakis A. F., Spiliopoulou A. D., Papamichail I., Papageorgiou M. and Wang Y.(2008), "Real-time work zone management for throughput maximization," In 87th Transportation Research Board Annual Meeting, Washington, DC, January, pp.13-17.
15 Manual H. C.(2016), Highway capacity manual. 6th edition, Washington, DC, vol. 2, pp.1040-1045.
16 Mccoy P. and Pesti G.(2001), "Dynamic Late Merge Control Concept for Work Zones on Rural Interstate Highways," Transportation Research Record: Journal of the Transportation Research Board, vol. 1745, pp.20-26.   DOI
17 Meng Q. and Weng J.(2010), "Cellular automata model for work zone traffic," Transportation Research Record, vol. 2188, no. 1, pp.131-139.   DOI
18 Roncoli C., Bekiaris-Liberis N. and Papageorgiou M.(2017), "Lane-changing feedback control for efficient lane assignment at motorway bottlenecks," Transportation Research Record, vol. 2625, no. 1, pp.20-31.   DOI
19 Meyer E.(2004), Construction area late merge (CALM) system. Technology Evaluation Report. Midwest Smart Work Zone Deployment Initiative. FHWA Pooled Fund study.
20 Mirshahi M., Obenberger J., Fuhs C. A., Howard C. E., Krammes R. A., Kuhn B. T. and Yung J. L.(2007), Active traffic management: the next step in congestion management (No. FHWA-PL-07-012;NTIS-PB2008100599), United States. Federal Highway Administration.
21 Scriba T., Symoun J. and Beasley K. A.(2010), "To Lessen Work Zone Impacts: Try TMPs," Public Roads, vol. 74, no. 2, pp.10-17.
22 Shladover S. E., Su D. and Lu X. Y.(2012), "Impacts of cooperative adaptive cruise control on freeway traffic flow," Transportation Research Record, vol. 2324, no. 1, pp.63-70.   DOI
23 Subhanka N.(2018), Impact of level 3 automated vehicle merging on 2-to-1 lane freeway, Master Thesis, University of Wisconsin-Madison, Madison, WI, The United States of America, p.2.
24 Taavola D., Jackels J. and Swenson T.(2003), "Dynamic Late Merge System Evaluation: Initial Deployment on US Route 10 Summer 2003," Transportation Research Record: Journal of the Transportation Research Board, No. 976036.
25 Ullman G., Schroeder J. and Gopalakrishna D.(2014), Work zone intelligent transportation systems implementation guide: Use of technology and data for effective work zone management (No. FHWA-HOP-14-008).
26 Yuan Y., Liu Y. and Liu W.(2019), "Dynamic Lane-Based Signal Merge Control for Freeway Work Zone Operations," Journal of Transportation Engineering, Part A: Systems, vol. 145, no. 12, 04019053.   DOI
27 Van Arem B., Van Driel C. J. and Visser R.(2006), "The impact of cooperative adaptive cruise control on traffic-flow characteristics," IEEE Transactions on Intelligent Transportation Systems, vol. 7, no. 4, pp.429-436.   DOI
28 Walters C. H., Pezoldt V. J., Womack K. N., Cooner S. A. and Kuhn B. T.(2000), Understanding road rage: Summary of first-year project activities, Texas Transportation Institute, College Station, p.62.
29 Wang Y. and Ioannou P. A.(2011), "New model for variable speed limits," Transportation Research Record, vol. 2249, no. 1, pp.38-43.   DOI
30 Yang N., Chang G. L. and Kang K. P.(2009), "Simulation-Based Study on a Lane-Based Signal System for Merge Control at Freeway Work Zones," Journal of Transportation Engineering, ASCE, vol. 135, no. 1, pp.9-17.   DOI
31 Zhang Y. and Ioannou P. A.(2016), "Combined variable speed limit and lane change control for highway traffic," IEEE Transactions on Intelligent Transportation Systems, vol. 18, no. 7, pp.1812-1823.   DOI
32 Zheng J. and Liu H. X.(2017), "Estimating traffic volumes for signalized intersections using connected vehicle data," Transportation Research Part C: Emerging Technologies, vol. 79, pp.347-362.   DOI