State of the art on measuring driver state and technology-based risk prevention and mitigation Findings from the i-DREAMS project

Advanced vehicle automation and the incorporation of more digital technologies in the task of driving, bring about new challenges in terms of the operator/vehicle/environment framework, where human factors play a crucial role. This paper attempts to consolidate the state-of-the-art in driver state measuring, as well as the corresponding technologies for risk assessment and mitigation, as part of the i-DREAMS project. Initially, the critical indicators for driver profiling with regards to safety risk are identified and the most prominent task complexity indicators are established. This is followed by linking the aforementioned indicators with efficient technologies for real-time measuring and risk assessment and finally a brief overview of interventions modules is outlined in order to prevent and mitigate collision risk. The results of this review will provide an overall multimodal set of factors and technologies for driver monitoring and risk mitigation, essential for road safety researchers and practitioners worldwide<br

Queuing Network Modeling of Human Multitask Performance and its Application to Usability Testing of In-Vehicle Infotainment Systems.

Human performance of a primary continuous task (e.g., steering a vehicle) and a secondary discrete task (e.g., tuning radio stations) simultaneously is a common scenario in many domains. It is of great importance to have a good understanding of the mechanisms of human multitasking behavior in order to design the task environments and user interfaces (UIs) that facilitate human performance and minimize potential safety hazards. In this dissertation I investigated and modeled human multitask performance with a vehicle-steering task and several typical in-vehicle secondary tasks. Two experiments were conducted to investigate how various display designs and control modules affect the driver's eye glance behavior and performance. A computational model based on the cognitive architecture of Queuing Network-Model Human Processor (QN-MHP) was built to account for the experiment findings. In contrast to most existing studies that focus on visual search in single task situations, this dissertation employed experimental work that investigates visual search in multitask situations. A modeling mechanism for flexible task activation (rather than strict serial activations) was developed to allow the activation of a task component to be based on the completion status of other task components. A task switching scheme was built to model the time-sharing nature of multitasking. These extensions offer new theoretical insights into visual search in multitask situations and enable the model to simulate parallel processing both within one task and among multiple tasks. The validation results show that the model could account for the observed performance differences from the empirical data. Based on this model, a computer-aided engineering toolkit was developed that allows the UI designers to make quantitative prediction of the usability of design concepts and prototypes. Scientifically, the results of this dissertation research offer additional insights into the mechanisms of human multitask performance. From the engineering application and practical value perspective, the new modeling mechanism and the new toolkit have advantages over the traditional usability testing methods with human subjects by enabling the UI designers to explore a larger design space and address usability issues at the early design stages with lower cost both in time and manpower.PHDIndustrial and Operations EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/113590/1/fredfeng_1.pd

Driver lane change intention inference for intelligent vehicles: framework, survey, and challenges

Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper awareness of the traffic context as well as the driver status since ADAS share the vehicle control authorities with the human driver. This study provides an overview of the ego-vehicle driver intention inference (DII), which mainly focus on the lane change intention on highways. First, a human intention mechanism is discussed in the beginning to gain an overall understanding of the driver intention. Next, the ego-vehicle driver intention is classified into different categories based on various criteria. A complete DII system can be separated into different modules, which consists of traffic context awareness, driver states monitoring, and the vehicle dynamic measurement module. The relationship between these modules and the corresponding impacts on the DII are analyzed. Then, the lane change intention inference (LCII) system is reviewed from the perspective of input signals, algorithms, and evaluation. Finally, future concerns and emerging trends in this area are highlighted

Development of rear-end collision avoidance in automobiles

The goal of this work is to develop a Rear-End Collision Avoidance System for automobiles. In order to develop the Rear-end Collision Avoidance System, it is stated that the most important difference from the old practice is the fact that new design approach attempts to completely avoid collision instead of minimizing the damage by over-designing cars. Rear-end collisions are the third highest cause of multiple vehicle fatalities in the U.S. Their cause seems to be a result of poor driver awareness and communication. For example, car brake lights illuminate exactly the same whether the car is slowing, stopping or the driver is simply resting his foot on the pedal. In the development of Rear-End Collision Avoidance System (RECAS), a thorough review of hardware, software, driver/human factors, and current rear-end collision avoidance systems are included. Key sensor technologies are identified and reviewed in an attempt to ease the design effort. The characteristics and capabilities of alternative and emerging sensor technologies are also described and their performance compared. In designing a RECAS the first component is to monitor the distance and speed of the car ahead. If an unsafe condition is detected a warning is issued and the vehicle is decelerated (if necessary). The second component in the design effort utilizes the illumination of independent segments of brake lights corresponding to the stopping condition of the car. This communicates the stopping intensity to the following driver. The RECAS is designed the using the LabVIEW software. The simulation is designed to meet several criteria: System warnings should result in a minimum load on driver attention, and the system should also perform well in a variety of driving conditions. In order to illustrate and test the proposed RECAS methods, a Java program has been developed. This simulation animates a multi-car, multi-lane highway environment where car speeds are assigned randomly, and the proposed RECAS approaches demonstrate rear-end collision avoidance successfully. The Java simulation is an applet, which is easily accessible through the World Wide Web and also can be tested for different angles of the sensor

Investigating older drivers' route guidance requirements to inform the design of future in-vehicle navigation systems

Phd ThesisIn-vehicle navigation has been identified as a key activity for maintaining the mobility and hence the independence and quality of life of older adults. However, few studies have directly investigated and tested route guidance requirements specifically for older drivers. This thesis addresses the knowledge gap using a range of quantitative and qualitative methodologies across three investigations. A focus group investigation was undertaken first. Thirty older adults were recruited and themes of driving and navigation behaviour discussed. This research stage found older adults have difficulty planning and then navigating journeys, landmarks are used to navigate the road network and in-vehicle navigation systems (IVNS) are not deemed to be useable. In the second investigation, current design IVNS were loaned to 22 older adults for a two-week period. During this period the participants detailed their experiences and attitudes of the loaned IVNS. In addition, in-depth interviews were undertaken. This investigation found that IVNS have usability issues for older drivers that need to be considered for the next generation of IVNS. In the next stage, a driving simulator investigation with 30 older drivers was carried out. This phase of the research examined the navigational benefits of providing landmark-based route guidance information as compared to the traditional method of paper maps. The study concluded that older drivers have difficulties with navigation through decline in memory and vision. The driving simulator investigation suggests that landmarks are effective at supporting older drivers with the navigation task; in particular, older female drivers. In addition, landmark-based route guidance information should be delivered through a combination of audio instructions and an icon-based visual display. Finally, the thesis outlines recommendations for the next generation IVNS for older drivers

Older drivers' requirements for navigation and route guidance information

This thesis examines older drivers and navigation. Over more recent times the proportion of older people in the UK population has risen. This effect is carrying over into the driving population. Due to changing demographics, increased longevity and the increased universality of driving there will be many more older drivers than before. Older drivers find the navigation task of finding their way on unfamiliar routes very demanding due to declines in sensory and cognitive abilities. New technology such as route guidance systems could aid the older driver in this task, by reducing uncertainty when meeting decision points on the road network. However such systems can also cause distraction. This has led to concern over the safety implications of the implementation of route guidance systems into cars. If route guidance systems are to be designed safely then the characteristics and needs of the driver have to be identified. The aim of this thesis was to provide human factors knowledge in this area so that route guidance systems can be designed to meet the needs of older drivers. [Continues.

A user experience‐based toolset for automotive human‐machine interface technology development

The development of new automotive Human-Machine Interface (HMI) technologies must consider the competing and often conflicting demands of commercial value, User Experience (UX) and safety. Technology innovation offers manufacturers the opportunity to gain commercial advantage in a competitive and crowded marketplace, leading to an increase in the features and functionality available to the driver. User response to technology influences the perception of the brand as a whole, so it is important that in-vehicle systems provide a high-quality user experience. However, introducing new technologies into the car can also increase accident risk. The demands of usability and UX must therefore be balanced against the requirement for driver safety. Adopting a technology-focused business strategy carries a degree of risk, as most innovations fail before they reach the market. Obtaining clear and relevant information on the UX and safety of new technologies early in their development can help to inform and support robust product development (PD) decision making, improving product outcomes. In order to achieve this, manufacturers need processes and tools to evaluate new technologies, providing customer-focused data to drive development. This work details the development of an Evaluation Toolset for automotive HMI technologies encompassing safety-related functional metrics and UX measures. The Toolset consists of four elements: an evaluation protocol, based on methods identified from the Human Factors, UX and Sensory Science literature; a fixed-base driving simulator providing a context-rich, configurable evaluation environment, supporting both hardware and software-based technologies; a standardised simulation scenario providing a repeatable basis for technology evaluations, allowing comparisons across multiple technologies and studies; and a technology scorecard that collates and presents evaluation data to support PD decision making processes

Ergonomics of intelligent vehicle braking systems

The present thesis examines the quantitative characteristics of driver braking and pedal operation and discusses the implications for the design of braking support systems for vehicles. After the current status of the relevant research is presented through a literature review, three different methods are employed to examine driver braking microscopically, supplemented by a fourth method challenging the potential to apply the results in an adaptive brake assist system. First, thirty drivers drove an instrumented vehicle for a day each. Pedal inputs were constantly monitored through force, position sensors and a video camera. Results suggested a range of normal braking inputs in terms of brake-pedal force, initial brake-pedal displacement and throttle-release (throttle-off) rate. The inter-personal and intra-personal variability on the main variables was also prominent. [Continues.

Visuomotor control, eye movements, and steering : A unified approach for incorporating feedback, feedforward, and internal models

The authors present an approach to the coordination of eye movements and locomotion in naturalistic steering tasks. It is based on recent empirical research, in particular, on driver eye movements, that poses challenges for existing accounts of how we visually steer a course. They first analyze how the ideas of feedback and feedforward processes and internal models are treated in control theoretical steering models within vision science and engineering, which share an underlying architecture but have historically developed in very separate ways. The authors then show how these traditions can be naturally (re)integrated with each other and with contemporary neuroscience, to better understand the skill and gaze strategies involved. They then propose a conceptual model that (a) gives a unified account to the coordination of gaze and steering control, (b) incorporates higher-level path planning, and (c) draws on the literature on paired forward and inverse models in predictive control. Although each of these (a–c) has been considered before (also in the context of driving), integrating them into a single framework and the authors’ multiple waypoint identification hypothesis within that framework are novel. The proposed hypothesis is relevant to all forms of visually guided locomotion.Peer reviewe

Policy implications of ubiquitous technologies in the car : privacy, data ownership, and regulation

Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2006.Includes bibliographical references (leaves 58-61).Motor vehicle travel is the primary means of transportation in the United States, providing freedom in travel and enterprise for many people. However, motor vehicle accidents are the largest component of unintentional injuries and contribute to a high degree of morbidity and mortality for all ages. This thesis analyzes the relationship between feedback technologies and driver behavior. Based on the findings, policy recommendations were made to help ensure that the privacy and trust of the public are not compromised, as ubiquitous technologies become a reality in automobiles. The thesis provides an overview of the most modem mechanisms available in cars today. Furthermore, this thesis takes the first steps to combining existing technologies into a single system that not only tracks driver behavior, but also provides feedback in the hopes of improving drive performance and safety. The qualitative discussion includes a stakeholder analysis of the prime interests and effects of all parties that are impacted by ubiquitous technologies in the car. The qualitative discussion also contains the results of four focus groups that were conducted to gain first hand insights about the view of the drivers about monitoring technologies in the car.(cont.) This study finds that most drivers have a symbiotic relationship with the technologies that exist in their car; however, drivers feel uncomfortable with a fully automated system. Their concerns rise from the belief that fully automated systems take control away from the driver. Drivers were also concerned about the privacy and security of the data collected and stored by these technologies in their vehicles. These concerns can be addressed within the existing legal framework, but additional regulations also need to be designed because as the technology changes so will the concerns. Therefore, it is important to design policies that are flexible, rather than completely depending on current regulations to address future concerns.by Alex Fernando Narváez Bustamante.S.M