This Transportation Research Record contains 22 papers on human performance or simulation and visualization. Among the topics discussed are the following: crash involvement of young novice drivers; factors affecting the safety of young and older drivers; behavioral classification of passing maneuvers; in-vehicle text messages; measuring performance for the Federal Aviation Administration's safety oversight system; driver eye glance behavior during lane change decision, lane changes, and straight-ahead driving; driver fatigue, distraction, and performance; eye glance behavior during in-vehicle secondary tasks; multifunction interfaces in vehicles; interface workload of in-vehicle information systems; human-machine interface design for intelligent speed adaptation; an automated real-time driver warning system; fuzzy sets for evaluating driver perception of variable message signs; video advertising signs and traffic safety; message display formats of portable variable message signs; in-vehicle Global Positioning System data for evaluating deceleration at stop sign-controlled intersections; simulator evaluations of driving with vision impairments and visual aids; a driving simulator for work zone design; the application of visualization to transportation systems; a four-dimensional interactive visualization system for transportation management and traveler information; and virtual reality visualization of microscopic traffic simulations.

The automotive industry appears close to substantial change engendered by “self-driving” technologies. This technology offers the possibility of significant benefits to social welfare—saving lives; reducing crashes, congestion, fuel consumption, and pollution; increasing mobility for the disabled; and ultimately improving land use. This report is intended as a guide for state and federal policymakers on the many issues that this technology raises.

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