摘要: |
The proposed research effort is geared towards examining the role of contextual features in urban design that underlie the mental frameworks governing driving behavior. The research effort will take advantage of the Strategic Highway Research Program 2 (SHRP2) Naturalistic Driving dataset, expanding its ability to identify and predict driver behavior. Objective 1: Identify Context Categories and Defining Features – Identify the primary context categories used by both normal drivers and urban designers and the features that determine and mediate these categories. Wherever possible, correlate the driver context categories with the context classification systems currently identified by Florida Department of Transportation (FDOT), highlighting similarities and differences. Objective 2: Quantify the Speed, Speed Variability, and Accident Rates Associated with the Major Context Categories and their Defining Characteristics– The research will identify how the driver context categories and their defining characteristics correlate to speed, speed variability, and accident rates, with a particular focus on pedestrian or bicycle accidents. Objective 3: Evaluate Current Design Standards and Recommend Improvements – Identify any design features or focus areas within current low speed design standards in Florida that may miscommunicate an inappropriate context and/or behavior expectation to the driver. Recommend changes in features or focus that can better align driver expectations with the designer’s expectations for speed and attention management. Objective 4: Communicate Context Categories and Features to Design Staff – Identify specific techniques and examples that can effectively communicate the substantive differences between specific driver context categories and use this information to share the results with design staff both within FDOT and in the wider consultant design community. |