Neuroadaptive output tracking of fully autonomous road vehicles with an observer
IEEE Transactions on Intelligent Transportation Systems
Methodology to simplify the tuning process of self-organizing fuzzy logic controllers
INES'09 Proceedings of the IEEE 13th international conference on Intelligent Engineering Systems
Virtual data mules for data collection in road-side sensor networks
MobiOpp '10 Proceedings of the Second International Workshop on Mobile Opportunistic Networking
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Automatic lateral control for unmanned vehicles via genetic algorithms
Applied Soft Computing
Review: Adaptive cruise control look-ahead system for energy management of vehicles
Expert Systems with Applications: An International Journal
Electric power steering automation for autonomous driving
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
Cooperative controllers for highways based on human experience
Expert Systems with Applications: An International Journal
On-line learning of a fuzzy controller for a precise vehicle cruise control system
Expert Systems with Applications: An International Journal
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There is a broad range of diverse technologies under the generic topic of intelligent transportation systems (ITS) that holds the answer to many of the transportation problems. In this paper, one approach to ITS is presented. One of the most important research topics in this field is adaptive cruise control (ACC). The main features of this kind of controller are the adaptation of the speed of the car to a predefined one and the keeping of a safe gap between the controlled car and the preceding vehicle on the road. We present an ACC controller based on fuzzy logic, which assists the speed and distance vehicle control, offering driving strategies and actuation over the throttle of a car. The driving information is supplied by the car tachometer and a RTK differential GPS, and the actuation over the car is made through an electronic interface that simulates the electrical signal of the accelerator pedal directly to the onboard computer. This control is embedded in an automatic driving system installed in two testbed mass-produced cars instrumented for testing the work of these controllers in a real environment. The results obtained in these experiments show a very good performance of the gap controller, which is adaptable to all the speeds and safe gap selections.