Related Experiment Video
Updated: Sep 11, 2025
07:15
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
Published on: December 18, 2020
4.6K
Hazard analysis of an Automated Lane Keeping System using Systems-Theoretic Process Analysis
Mariat James Elizebeth1, Siddartha Khastgir1, Paul Jennings1
1WMG, University of Warwick, 6 Lord Bhattacharyya Way, Coventry, CV4 7AL, United Kingdom.
Accident; Analysis and Prevention
|August 14, 2025
Summary
Systems-Theoretic Process Analysis (STPA) effectively identified risks in Automated Lane Keeping Systems (ALKS). Communicating system limitations to users is crucial for safe operation and policy development.
Area of Science:
- Automotive Safety Engineering
- System Safety Analysis
- Human-Machine Interaction
Background:
- Complex systems like Automated Lane Keeping Systems (ALKS) present unique safety challenges.
- Traditional safety analysis methods may not fully capture emergent risks in advanced automated systems.
Purpose of the Study:
- To evaluate the efficacy of Systems-Theoretic Process Analysis (STPA) for identifying risks in ALKS.
- To explore potential safety improvements and inform regulatory requirements for ALKS.
Main Methods:
- Applied STPA, a top-down hazard analysis technique, to an ALKS.
- Identified Unsafe Control Actions (UCAs) and their Causal Factors (CFs).
Main Results:
- STPA identified 87 UCAs and 537 CFs within the ALKS.
- Causal factors included software faults, sensor limitations, specification issues, and human-machine interaction errors.
- 1074 requirements were proposed, including driver education on ALKS capabilities and limitations.
Conclusions:
- STPA is a valuable, holistic method for analyzing complex systems like ALKS.
- Clear communication of system capabilities and limitations to users is essential for safety.
- The study identified gaps in current ALKS regulatory requirements, proposing 87 recommendations.
Related Concept Videos
01:19Root-Locus Method
213
A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
This system can be represented by a block...
213
01:22Multi-input and Multi-variable systems
149
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
149
01:26Classification of Systems-I
301
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
301
01:26Feedback control systems
427
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
427
01:10Control Systems
1.4K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
At the heart...
1.4K
01:21Manipulation and Analysis
59
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
59