Related Experiment Video
Updated: Apr 14, 2026

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
Published on: February 1, 2020
Enforcement avoidance behavior near automated speed enforcement areas in Korean expressways
Jisup Shim1, Shin Hyoung Park2, Sungbong Chung3
1The Cho Chun Shik Graduate School for Green Transportation, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, South Korea.
Automated speed enforcement systems (ASES) reduce speeds near cameras, but this behavior increases crash risk. Modifications to ASES are needed to improve road safety effectiveness.
Area of Science:
- Traffic Engineering
- Road Safety
- Transportation Systems Analysis
Background:
- Automated speed enforcement systems (ASES) are used on Korean roads to reduce crashes.
- Drivers often avoid enforcement by slowing near ASES, leading to "enforcement avoidance behavior" (EAB).
- EAB can cause sudden speed changes, potentially increasing crash risk.
Purpose of the Study:
- To evaluate the impact of ASES on traffic behavior and road safety.
- To analyze the relationship between EAB and crash occurrences.
- To determine if ASES effectively reduces traffic crashes.
Main Methods:
- Analysis of traffic data to observe driver speed changes near ASES.
- Empirical Bayes analysis with comparison groups to assess crash data.
- Comparison of crash occurrences before and after ASES installation.
Main Results:
- Drivers were observed to reduce speed near ASES and accelerate afterward.
- Overall crash occurrence near ASES showed a non-significant 7.6% reduction.
- A non-significant 11% increase in crashes was observed in upstream segments due to speed changes.
Conclusions:
- Sudden speed changes caused by EAB can diminish the safety benefits of ASES.
- Current ASES designs may need modification to mitigate EAB.
- Improving ASES effectiveness requires addressing driver enforcement avoidance behavior.
Related Concept Videos
Social Traps
The Anchoring-and-Adjustment Heuristic
Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance
Automatic Processing and Automatic Social Behavior
Avoidance Learning and Learned Helplessness
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
Rolling Resistance: Problem Solving

