Measuring Road Safety Using Surrogate Events provides researchers and practitioners with the tools they need to quickly and effectively measure traffic safety. As traditional crash-based safety analyses are being undermined by today’s growing use of intelligent vehicular and road safety technologies, crash surrogates--or near misses--can be more effectively used to measure the future risk of crashes. This book advances the idea of using these near-crash techniques to deliver quicker and more adequate measurements of safety. It explores the relationships between traffic conflicts and crashes using an extrapolation of observed events rather than post-crash data, which is significantly slower to obtain.
Readers will find sound estimation methods based on rigorous scientific principles, offering compelling new tools to better equip researchers to understand road safety and its factors.
1. Chapter 1. Introduction - p. 1 2. Chapter 2. Crashes in safety analysis - p. 9 3. Chapter 3. Traffic conflicts as crash surrogates - p. 31 4. Chapter 4. Techniques and technologies of observing traffic conflicts - p. 47 5. Chapter 5. Studies on the conflict-crash relationship - p. 67 6. Chapter 6. Probabilistic connection of traffic conflicts with crashes - p. 89 7. Chapter 7. Estimating crash frequency from traffic conflicts - p. 107 8. Chapter 8. Challenges and treatments in estimating crash frequency - p. 131 9. Chapter 9. Road departures – driving simulator study - p. 149 10. Chapter 10. Right-angle collisions – a lesson learned - p. 169 11. Chapter 11. Rear-end collisions – naturalistic driving study - p. 197 12. Chapter 12. Traffic conflicts of autonomous vehicles - p. 215 13. Chapter 13. Summary and future research directions - p. 229 14. Index - p. 241
Measuring Road Safety Using Surrogate Events provides researchers and practitioners with the tools they need to quickly and effectively measure traffic safety. As traditional crash-based safety analyses are being undermined by today’s growing use of intelligent vehicular and road safety technologies, crash surrogates--or near misses--can be more effectively used to measure the future risk of crashes. This book advances the idea of using these near-crash techniques to deliver quicker and more adequate measurements of safety. It explores the relationships between traffic conflicts and crashes using an extrapolation of observed events rather than post-crash data, which is significantly slower to obtain.
Readers will find sound estimation methods based on rigorous scientific principles, offering compelling new tools to better equip researchers to understand road safety and its factors.
1. Chapter 1. Introduction - p. 1 2. Chapter 2. Crashes in safety analysis - p. 9 3. Chapter 3. Traffic conflicts as crash surrogates - p. 31 4. Chapter 4. Techniques and technologies of observing traffic conflicts - p. 47 5. Chapter 5. Studies on the conflict-crash relationship - p. 67 6. Chapter 6. Probabilistic connection of traffic conflicts with crashes - p. 89 7. Chapter 7. Estimating crash frequency from traffic conflicts - p. 107 8. Chapter 8. Challenges and treatments in estimating crash frequency - p. 131 9. Chapter 9. Road departures – driving simulator study - p. 149 10. Chapter 10. Right-angle collisions – a lesson learned - p. 169 11. Chapter 11. Rear-end collisions – naturalistic driving study - p. 197 12. Chapter 12. Traffic conflicts of autonomous vehicles - p. 215 13. Chapter 13. Summary and future research directions - p. 229 14. Index - p. 241
