Evaluating the Effectiveness of Integrated Connected Automated Vehicle Applications Applied to Freeway Managed Lanes

被引:22
作者
Guo, Yi [1 ]
Ma, Jiaqi [2 ]
Leslie, Edward [3 ]
Huang, Zhitong [3 ]
机构
[1] Univ Cincinnati, Dept Civil & Architectural Engn & Construct Manag, Cincinnati, OH 45221 USA
[2] Univ Calif Los Angeles, Dept Civil & Environm Engn, Los Angeles, CA 90095 USA
[3] Leidos Inc, Reston, VA 20190 USA
基金
美国国家科学基金会;
关键词
Merging; Traffic control; Road transportation; Throughput; Real-time systems; Cruise control; Safety; Connected automated vehicles (CAV); bundled CAV applications; managed lanes; cooperative adaptive cruise control (CACC); cooperative merge; speed harmonization; ADAPTIVE CRUISE CONTROL; SPEED HARMONIZATION; CALIBRATION; CAPACITY; SYSTEM;
D O I
10.1109/TITS.2020.3012678
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The purpose of this study is to define an operational concept involving connected automated vehicle (CAV) operation on freeway managed lanes. Despite the low projected market penetration of CAVs during the next decade, the use of managed lane facilities has the potential to support the realization of increased mobility benefits by their very nature. The proposed CAV operation involves platoons of equipped vehicles governed by integrated CAV applications, including cooperative adaptive cruise control (CACC), cooperative merge, and speed harmonization. This study proposes an algorithm for integrating CAV applications. Through microscopic simulation, the study particularly examines the effectiveness of CACC, CACC plus cooperative merge, and the addition of speed harmonization under different penetration rates. Simulation results show the effectiveness of the bundled application to enhance system throughput and reduce delay, even with low CAV penetration rates. The speed harmonization shows the greatest effects on delay reduction at medium-to-high penetration rates and some benefits even at low penetration rates. The conclusions provide operational insights and guidance for traffic management centers to implement CAV-based traffic control in the future.
引用
收藏
页码:522 / 536
页数:15
相关论文
共 52 条
[1]  
[Anonymous], 2010, P HUMAN FACTORS ERGO, DOI DOI 10.1177/154193121005402403
[2]  
[Anonymous], 2018, PTV VISSIM 100 USER
[3]  
Ariffin M. Hafez M., 2015, 2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS), P132, DOI 10.1109/IRIS.2015.7451599
[4]   GOLD: A parallel real-time stereo vision system for generic obstacle and lane detection [J].
Bertozzi, M ;
Broggi, A .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 1998, 7 (01) :62-81
[5]  
Bhargava A., 2006, JOINT TRANSP RES PRO, P281
[6]  
Chou FC, 2016, IEEE VEHIC NETW CONF
[7]   Recent advances in connected and automated vehicles [J].
Elliott, David ;
Keen, Walter ;
Miao, Lei .
JOURNAL OF TRAFFIC AND TRANSPORTATION ENGINEERING-ENGLISH EDITION, 2019, 6 (02) :109-131
[8]  
Fitzpatrick K, 1980, NCHRP WEB ONLY DOCUM
[9]  
Fuhs C., 2010, No. FHWA-HOP-10-031
[10]  
Ghiasi A, 2017, PROC 96 ANN M TRANSP, P1