This paper examines the effects of spacing policy and control system nonlinearities on the dynamic response of strings of automated transit vehicles operating under automatic velocity and spacing control. Both steady-state and transient responses are studied. Steady-state response is examined by a modification of the describing function technique and transient response is studied by Liapunov procedures. It is shown that a nonlinearity commonly encountered in automated transit vehicles, a limiter on acceleration and deceleration, can result in string instabilities even though a linearized analysis indicates that the string is stable. Although this paper is specifically focused on automated transit systems, some of the results obtained also appear to be applicable to strings of automobiles on freeways.
Skip Nav Destination
Article navigation
December 1977
Research Papers
Vehicle-Follower Longitudinal Control for Automated Transit Vehicles
R. J. Caudill,
R. J. Caudill
Transportation Program, Princeton Univerisity, Princeton, N. J.
Search for other works by this author on:
W. L. Garrard
W. L. Garrard
Department of Aerospace Engineering and Mechanics and Center for Control Science, University of Minnesota, Minneapolis, Minn.
Search for other works by this author on:
R. J. Caudill
Transportation Program, Princeton Univerisity, Princeton, N. J.
W. L. Garrard
Department of Aerospace Engineering and Mechanics and Center for Control Science, University of Minnesota, Minneapolis, Minn.
J. Dyn. Sys., Meas., Control. Dec 1977, 99(4): 241-248 (8 pages)
Published Online: December 1, 1977
Article history
Received:
September 26, 1977
Online:
July 13, 2010
Citation
Caudill, R. J., and Garrard, W. L. (December 1, 1977). "Vehicle-Follower Longitudinal Control for Automated Transit Vehicles." ASME. J. Dyn. Sys., Meas., Control. December 1977; 99(4): 241–248. https://doi.org/10.1115/1.3427114
Download citation file:
Get Email Alerts
Modeling and Control of a 3-DOF planar Cable-Driven Parallel Robot with Flexible Cables
J. Dyn. Sys., Meas., Control
Adaptive Mesh Refinement and Error Estimation Method for Optimal Control Using Direct Collocation
J. Dyn. Sys., Meas., Control
Motion Control Along Spatial Curves for Robot Manipulators: A Non-Inertial Frame Approach
J. Dyn. Sys., Meas., Control
A Case Study Comparing Both Stochastic and Worst-Case Robust Control Co-Design Under Different Control Structures
J. Dyn. Sys., Meas., Control
Related Articles
Longitudinal Control for Automated Highway Vehicles
J. Dyn. Sys., Meas., Control (June,1982)
Electric Highway
Mechanical Engineering (June,2019)
Design and Experimental Implementation of Longitudinal Control for a Platoon of Automated Vehicles
J. Dyn. Sys., Meas., Control (September,2000)
Longitudinal Control of Automotive Vehicles in Close-Formation Platoons
J. Dyn. Sys., Meas., Control (June,1991)
Related Proceedings Papers
Related Chapters
Regression Target – Objective Function
Nonlinear Regression Modeling for Engineering Applications: Modeling, Model Validation, and Enabling Design of Experiments
Incineration Bottom Ash (IBA) Processing
Proceedings of the 2022 EEC/WTERT Conference
Class Variables
Engineering Optimization: Applications, Methods, and Analysis