It’s a widely recognised trend that powered-two-wheelers' (PTWs) use has been steadily increasing and is projected to increase further. While providing benefits to the community in the form of reduced traffic congestion and environmental benefits, the risks to PTW riders remain and visibility will always be a key issue. Increasing Motorcycle Conspicuity aims to illustrate how driving simulation, field studies and laboratory experiments can be used to improve rider safety through the design and evaluation of a range of safety measures. The book outlines the factors that contribute to PTW visibility and detection by car drivers, and presents case studies to illustrate how the various methods can be used to explore the contribution of these factors. The final chapter of the book highlights the utility of a simulation-based approach to improving PTW safety and discusses this method’s future applications. The case studies collected within the volume cover phases of the design of conspicuity treatments and provide a broad spectrum of empirical strategies for assessing the interventions. The book is most directly relevant to researchers and applied scientists from the fields of traffic/transportation psychology and human factors, as well as to practitioners from the traffic safety sector.
Ongoing advances in lower-cost technologies are supporting a substantive growth worldwide in the use of simulation and naturalistic performance assessment methods for research, training and operational purposes in domains such as road, rail, aviation, mining and healthcare. However, this has not been accompanied by a similar growth in the expertise required to develop and use such systems for evaluating human performance. Whether for research or practitioner purposes, many of the challenges in assessing operator performance, both using simulation and in natural environments, are common. What performance measures should be used, what technology can support the collection of these measures across the different designs, how can other methods and performance measures be integrated to complement objective data, how should behaviours be coded and the performance standards measured and defined? How can these approaches be used to support product development and training, and how can performance within these complex systems be validated? This series addresses a shortfall in knowledge and expertise by providing a unique and dedicated forum for researchers and experienced users of simulation and field-based assessment methods to share practical experiences and knowledge in sufficient depth to facilitate delivery of practical guidance.