Adaptive cruise control look-ahead system for energy management of vehicles

Cruise control in motor vehicles enhances safe and efficient driving by maintaining a constant speed at a preset level. Adaptive Cruise Control (ACC) is the latest development in cruise control. It controls engine throttle position and braking to maintain a safe distance behind a vehicle in front by responding to the speed of this vehicle, thus providing a safer and more relaxing driving environment. ACC can be further developed by including the look-ahead method of predicting environmental factors such as wind speed and road slope. The conventional analytical control methods for adaptive cruise control can generate good results; however they are difficult to design and computationally expensive. In order to achieve a robust, less computationally expensive, and at the same time more natural human-like speed control, intelligent control techniques can be used. This paper presents an Adaptive Neuro-Fuzzy Inference System (ANFIS) based on ACC systems that reduces the energy consumption of the vehicle and improves its efficiency. The Adaptive Cruise Control Look-Ahead (ACC-LA) system works as follows: It calculates the energy consumption of the vehicle under combined dynamic loads like wind drag, slope, kinetic energy and rolling friction using road data, and it includes a look-ahead strategy to predict the future road slope. The cruise control system adaptively controls the vehicle speed based on the preset speed and the predicted future slope information. By using the ANFIS method, the ACC-LA is made adaptive under different road conditions (slope angle and wind direction and speed). The vehicle was tested using the adaptive cruise control look-ahead energy management system, the results compared with the vehicle running the same test but without the adaptive cruise control look-ahead energy management system. The evaluation outcome indicates that the vehicle speed was efficiently controlled through the look-ahead methodology based upon the driving cycle, and that the average fuel consumption was reduced by 3%.

Sitting behaviour-based pattern recognition for predicting driver fatigue

The proposed approach based on physiological characteristics of sitting behaviours and sophisticated machine learning techniques would enable an effective and practical solution to driver fatigue prognosis since it is insensitive to the illumination of driving environment, non-obtrusive to driver, without violating driver’s privacy, more acceptable by drivers.

Auditory message studies for route diversion. Final report.

Mode of access: Internet.

Concepts for a low-cost motorist information system. Final report.

Federal Highway Administration, Washington, D.C.

Traffic control systems handbook - 1985. Revised edition. Final report.

Federal Highway Administration, Office of Implementation, Washington, D.C.

Feasibility of changeable message signs and highway advisory radio for freeway maintenance. Final report.

Texas State Department of Highways and Public Transportation, Transportation Planning Division, Austin

Highway advisory radio user's guide.

Federal Highway Administration, Office of Research and Development, Washington, D.C.

Automatic audio signing - literature survey analysis. Interim report, phase 1, task A.

Federal Highway Administration, Washington, D.C.

Systems analysis and design guidelines for highway advisory radio. Executive summary. Final report.

Federal Highway Administration, Office of Research and Development, Washington, D.C.

Systems analysis and design guidelines for highway advisory. Final report.

Federal Highway Administration, Office of Research and Development, Washington, D.C.

Integrated motorist information system (IMIS) feasibility and design study. Phase I: feasibility study. Volume 2 - appendices. Final report.

Federal Highway Administration, Office of Research and Development, Washington, D.C.

Integrated motorist information (IMIS) feasibility and design study. Phase II: generalized methodology for IMIS feasibility studies. Volume 2--validation and application of feasibility study handbook. Final report.

Federal Highway Administration, Office of Research and Development, Washington, D.C.

Highway advisory radio operational site survey and broadcast equipment guide.

Mode of access: Internet.

Handling traffic in work zones. Final report.

Texas State Department of Highways and Public Transportation, Transportation Planning Division, Austin

Effectiveness of changeable message signs in controlling vehicle speeds in work zones. Final report.

Virginia Department of Transportation, Richmond