Control of autonomous vehicles flow using imposed speed profiles

被引:4
作者
Geller, Shlomo [1 ]
Avrahami, Idit [1 ]
Shvalb, Nir [2 ]
机构
[1] Ariel Univ, Dept Mech Engn & Mechatron, Ariel, Israel
[2] Ariel Univ, Dept Ind Engn & Management, IL-40700 Ariel, Israel
关键词
Autonomous vehicles; energy consumption; flow rate; speed profile; traffic flow; STABILITY; ARTERIAL; DESIGN; MODELS;
D O I
10.1080/15472450.2021.1932495
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
The current non-connected autonomous vehicle scheme for speed changing along the road has limitations. Other alternatives require a central control or a complex communication system between the vehicles. We suggest a low cost and simple method for controlling the traffic of a line of autonomous vehicles using predetermined speed profiles imposed upon the vehicles along the road. We introduce a novel method to control autonomous vehicles traffic. Particularly, we investigate cases where specific velocities are required at some points along the road. This is done by comparing different velocity profiles for acceleration, deceleration or a combination of both. As traffic flow and speed limit may change due to upcoming road conditions, it is imperative to control vehicle line traffic, such that phantom jams will be prevented while preserving maximal traffic flow at minimum energy. We provide a comparison of these profiles for acceleration, deceleration, and for the combined case in terms of traffic flow, energy consumption, travel duration and the resulting jam characteristics. Following the comparison, we conclude that the best strategy would be to use linear speed profiles both to accelerate and to decelerate. Lastly, we suggest a tool to compare speed profiles for deceleration cases where the formation of an upstream propagated traffic congestion is inevitable.
引用
收藏
页码:529 / 543
页数:15
相关论文
共 69 条
[41]  
MEHAR A, 2013, EUR TRANSP, V55, P1
[42]   Design, tuning, and evaluation of a full-range adaptive cruise control system with collision avoidance [J].
Moon, Seungwuk ;
Moon, Illki ;
Yi, Kyongsu .
CONTROL ENGINEERING PRACTICE, 2009, 17 (04) :442-455
[43]  
National Research Council, 2006, TIR PASS VEH FUEL EC, V286
[44]  
Orosz G., 2005, THESIS U BRISTOL
[45]   Formation and Propagation of Local Traffic Jam [J].
Qi, Hong-sheng ;
Wang, Dian-hai ;
Chen, Peng .
DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2013, 2013
[46]   Analytical framework of string stability of connected and autonomous platoons with electronic throttle angle feedback [J].
Qin, Yanyan ;
Wang, Hao .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2021, 17 (01) :59-80
[47]   Analysis and Design of a Compact Dual-Band Directional Antenna [J].
Quan, XuLin ;
Li, RongLin ;
Cui, YueHui ;
Tentzeris, Manos M. .
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2012, 11 :547-550
[48]   Enhanced emotion enabled cognitive agent-based rear-end collision avoidance controller for autonomous vehicles [J].
Riaz, Faisal ;
Niazi, Muaz A. .
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2018, 94 (11) :957-977
[49]   A Comparative Study of Urban Road Traffic Simulators [J].
Saidallah, Mustapha ;
El Fergougui, Abdeslam ;
Elalaoui, Abdelbaki Elbelrhiti .
2016 5TH INTERNATIONAL CONFERENCE ON TRANSPORTATION AND TRAFFIC ENGINEERING (ICTTE 2016), 2016, 81
[50]  
Sch?nhof M., 2004, TRANSP RES BOARD ANN