Analysis of Variability in Car-Following Behavior Over Long-Term Driving Maneuvers

The main goal of this dissertation has been to contribute to a better understanding of car-following behavior, and more specifically, on the variability in car-following behavior that is commonly observed in naturalistic driving situations…


Chapter 1: Introduction
1.1 Background
1.2 Limitations of Previous Studies on Car-Following Behavior
1.3 Research Objectives
1.4 Organization of the Dissertation
Chapter 2: Literature Review
2.1 Seminal Models
2.2 Causal Mechanisms
2.3 Experimental Studies and Biases
2.4 Memoryless Process
2.5 Summary
Chapter 3: Data Collection System
3.1 System Architecture
3.1.1 Hardware
3.1.2 Software
3.2 Preliminary Test of Infrared Radar Sensor
3.2.1 Sensor configuration effect on infrared radar sensor data quality
3.2.2 Angular sensitivity of multi-beam infrared radar sensor
3.3 Dropout in Range Sensors at Curve Transitions
3.3.1 Geometric derivation
3.3.2 Example
3.3.3 Sensitivity analysis
Chapter 4: Data Collection
4.1 Preliminary Survey
4.2 Field Measurements on Car-Following
4.2.1 Baseline statistics
Chapter 5: Data Analysis
5.1 Behavioral Analysis
5.1.1 Oscillatory (or “drift”) process in car-following
5.1.2 Traffic hysteresis phenomenon in car-following
5.1.3 Variability in following distance
5.1.4 Natural driving behavior with historical state aspects in car-following
5.2 Effects of Various Causal Factors on Car-Following Behavior
5.2.1 Vehicle types (auto vs. truck)
5.2.2 Number of lanes (4 lanes vs. 2 lanes)
5.2.3 Location of driving lanes
5.2.4 Traffic conditions (rush vs. non-rush hour)
5.2.5 Day of the week distribution
5.2.6 Gender
5.2.7 Distraction factors
5.2.8 Time of day (day vs. night)
5.2.9 Weather conditions (dry vs. wet)
Chapter 6: Conclusions
6.1 Summary of Research Findings
6.2 Future Research
Appendix A. Summary of car-following data sets

Author: Kim, Taehyung

Source: University of Maryland

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