Cognitive States Matter: Design Guidelines for Driving Situation Awareness in Smart Vehicles.

Situation awareness (SA) is crucial for safe driving. It is all about perception, comprehension of current situations and projection of the future status. It is demanding for drivers to constantly maintain SA by checking for potential hazards while performing the primary driving tasks. As vehicles in the future will be equipped with more sensors, it is likely that an SA aiding system will present complex situational information to drivers. Although drivers have difficulty to process a variety of complex situational information due to limited cognitive capabilities and perceive the information differently depending upon their cognitive states, the well-known SA design principles by Endsley only provide general guidelines. The principles lack detailed guidelines for dealing with limited human cognitive capabilities. Cognitive capability is a mental capability including planning, complex idea comprehension, and learning from experience. A cognitive state can be regarded as a condition of being (e.g., the state of being aware of the situation). In this paper, we investigate the key cognitive attributes related to SA in driving contexts (i.e., attention focus, mental model, workload, and memory). Endsley proposed that those key cognitive attributes are the main factors that influence SA. In those with higher levels of attributes, we found eight cognitive states which mainly influence a human driver in achieving SA. These are the focused attention state, inattentional blindness state, unfamiliar situation state, familiar situation state, insufficient mental resource state, sufficient mental resource state, high time pressure state, and low time pressure state. We then propose cognitive state aware SA design guidelines that can help designers to effectively convey situation information to drivers. As a case study, we demonstrated the usefulness of our cognitive state aware SA design guidelines by conducting controlled experiments where an existing SA interface is compared with a new SA interface designed following the key guidelines. We used the Situation Awareness Global Assessment Technique (SAGAT) and Decision-Making Questionnaire (DMQ) to measure the SA and decision-making style scores, respectively. Our results show that the new guidelines allowed participants to achieve significantly higher SA and exhibit better decision making performance.

Subsidies to Increase Remote Pollution?

During the last decade, Central Europe became a cynosure for the world for its unparalleled public support for renewable energy. For instance, the production of electricity from purpose-grown biomass received approximately twice the amount in subsidies as that produced from biowaste. Moreover, the guaranteed purchase price of electricity from solar panels was set approximately five times higher than that from conventional sources. This controversial environmental donation policy led to the devastation of large areas of arable land, a worsening of food availability, unprecedented market distortions, and serious threats to national budgets, among other things. Now, the first proposals to donate the purchase price of electric vehicles (and related infrastructure) from national budgets have appeared for public debate. Advocates of these ideas argue that they can solve the issue of electricity overproduction, and that electric vehicles will reduce emissions in cities. However, our analysis reveals that, as a result of previous scandals, environmental issues have become less significant to local citizens. Given that electric cars are not yet affordable for most people, in terms of local purchasing power, this action would further undermine national budgets. Furthermore, while today's electromobiles produce zero pollution when operated, their sum of emissions (i.e. global warming potential) remains much higher than that of conventional combustion engines. Therefore, we conclude that the mass usage of electromobiles could result in the unethical improvement of a city environment at the expense of marginal regions.

[Ambient air pollution of territories of children preschool institutions by emissions of vehicle components and health of children population].

The aim of this study was the assessment of levels of pollution of territories of preschool educational institutions (PEI) by components of vehicle emissions, in dependence on their locations relatively to highways with different traffic load and, in this regard, the assessment of children health according to the incidence on the seeking medical advice. To achieve this goal there were solved following tasks: to assess air pollution levels of PEI territories by components of vehicle emissions; to evaluate levels and the structure of morbidity rate according to seeking medical advice by children attending observed PEI. In the article there is presented the evaluation of air pollution levels of the components of vehicle emissions territories 4 PEI of the city of Irkutsk located near to highways with different intensity the road transport load. The research results were obtained with the use of «Methodics for the determination vehicle emissions for summary calculations of ambient air pollution in cities¼, which allows to determine the maximum emissions of a moving vehicle per time unit (g/s) for the main combustion components and with following use of software «Superhighway -city¼ to calculate surface concentrations of considered pollutants in the surface ambient air layer (1 m) in MPC proportions. The highest levels of contamination on the content of nitric oxide and benzo- (a)-pyrene (4 and 6,5 MPC respectively) are registered in the territories adjacent to the PEI motorways with high load tracking. To assess the morbidity rate according to seeking medical advice by children attending PEI with different road transport load there were used records from outpatient medical cards «Medical card of the child¼ (f.112/y). Morbidity rate according to seeking medical advice was evaluated in dynamics throughout five years and calculated per 1000 cases. The total sample size accounted for 670 children. The highest morbidity incidence rate levels according both to seeking medical advice and the class of respiratory diseases were recorded in PEI located in close proximity to the highway with a high load of vehicle transport.

Severity of child pedestrian injuries due to bonnet-type-vehicle collision.

BACKGROUND: The aim of this study was to clarify the pattern of child pedestrian injury, injury severity, and its relation to collision velocity in bonnet-type-vehicle collision. METHODS: In-depth data were retrospectively collected from the Institute for Traffic Accident Research and Data Analysis on pedestrians younger than 13 years old with any bodily injuries from collisions with bonnet-type vehicles between 1993 and 2004. RESULTS: Forty-seven patients from 43 collisions with a mean age of 6.9 ± 2.5 years were included in the study. Injury severity was not significantly different between patients who were hit by the front of the vehicle and those who were hit by the side of the vehicle. In front collisions, impact with the vehicle was associated with significantly higher Abbreviated Injury Scale (AIS) scores than those for impact with the road, especially for the lower extremities (mean: 1.2 vs 0.2, P < 0.001). Injury severity of the lower extremities and collision velocity were examined. The estimated collision velocity of the vehicle was not significantly different between patients with lower extremity AIS scores of 0 or 1 and those of 2 or 3. CONCLUSIONS: Some pediatric pedestrians suffer from collisions with bonnet-type vehicles without lower extremity fractures owing to the characteristics of child pedestrians. Providing injury prevention programs for children in communities and schools, developing active safety devices in the vehicle, and modifying the vehicle body to a pediatric pedestrian-friendly structure may increase pedestrian protection.

Video sensor-based complex scene analysis with Granger causality.

In this report, we propose a novel framework to explore the activity interactions and temporal dependencies between activities in complex video surveillance scenes. Under our framework, a low-level codebook is generated by an adaptive quantization with respect to the activeness criterion. The Hierarchical Dirichlet Processes (HDP) model is then applied to automatically cluster low-level features into atomic activities. Afterwards, the dynamic behaviors of the activities are represented as a multivariate point-process. The pair-wise relationships between activities are explicitly captured by the non-parametric Granger causality analysis, from which the activity interactions and temporal dependencies are discovered. Then, each video clip is labeled by one of the activity interactions. The results of the real-world traffic datasets show that the proposed method can achieve a high quality classification performance. Compared with traditional K-means clustering, a maximum improvement of 19.19% is achieved by using the proposed causal grouping method.

Ecological Landscape Design and Evaluation in Public Charging Facilities for Electric Vehicles.

The deterioration of the environment in the 21st century has made environmental issues one of the most severe tests for modern society. With this comes a change in energy structure from high-carbon to low-carbon direction, and electric vehicles are gradually developing into the darling of a city with low-carbon transportation and safe travel. This paper carries out a systematic analysis of landscape design and environmental protection in the development of new energy electric vehicle charging facilities in urban habitat. By categorizing the content and provisions of published domestic and international standards, new requirements for standardization are obtained, including barrier-free design, electromagnetic radiation, child safety protection, and urban landscape integration. Among them, ecological landscape public charging facilities can enhance the overall quality of urban environment. This paper analyzes the necessity of landscape design in charging facilities, explores the ecological concepts extended by macroscopic landscape design principles and the problems of public charging facilities, and proposes a design and evaluation method of ecologically landscaped public charging facilities based on hierarchical analysis and neural networks. The hierarchical analysis method is introduced to establish a landscape design assessment index system, and then a neural network is introduced to describe the characteristics of electric vehicle charging, and the landscape design assessment learning samples are trained to establish a landscape design assessment model. Finally, a comparison experiment is conducted with other landscape design assessment methods using specific examples, and the results show that the proposed method has more obvious advantages in ecological landscape public charging facility design assessment with high accuracy, faster landscape design assessment, charging efficiency, and environmental protection.

Using satellite imagery to estimate heavy vehicle volume for ecological injury analysis in India.

A major limitation of road injury research in low- and-middle income countries is the lack of consistent data across the settings, such as traffic counts, to measure traffic risk. This study presents a novel method in which traffic volume of heavy vehicles - trucks and buses - is estimated by identifying these vehicles from satellite imagery of Google Earth. For Rajasthan state in India, a total of ∼44,000 such vehicles were manually identified and geo-located on national highways (NHs), with no distinction made between trucks and buses. To estimate population living in proximity to NHs, defined as those living within 1 km buffer of NH, we geocoded ∼45,000 villages and ∼300 cities using Google Maps Geocoding Application Programming Interface (API). We fitted a spatio-temporal Bayesian regression model with the number of road deaths at the district level as the outcome variable. We found a strong Pearson correlation of 0.84 (p < 0.001) between Google Earth estimates of heavy vehicles and freight vehicle counts reported by a national-level study for different road sections. The regression results show that the volume of heavy vehicles and rural population in proximity to highways are positively associated with fatality risk in the districts. These effects have been estimated after controlling for other modes of travel.

Motor vehicle mismatch: a national perspective.

OBJECTIVE: To determine the RR of the severe injury associated with light truck vehicle (LTV) versus passenger vehicle (PV) mismatch following motor vehicle collisions across the USA. METHODS: This was a retrospective cohort study with the primary outcomes of Injury Severity Score (ISS) >8 and body region Abbreviated Injury Score (AIS) >2. The National Automotive Sampling System Crashworthiness Data System (NASS CDS) was searched for occupants in frontal and side impact crashes from 1993 to 2007. Occupants in PVs struck by LTVs were compared to PV occupants struck by another PV. Poisson regression was used to estimate the RR of severe injury after adjusting for driver age, driver gender, and change in velocity during the crash (Δv). Because 21% of cases were missing Δv, multiple imputation was used to estimate the missing values. NASS CDS weights were used to estimate the risk of severe injury nationally. RESULTS: PV occupants in front impact crashes with an LTV as the striking vehicle were at increased risk of severe injury compared to those struck by another PV (RR 1.37, 95% CI 1.09 to 1.73). A similar increase risk was observed in side impact crashes (RR 1.34, 95% CI 1.12 to 1.62). Increased risk of injury was also identified in several body regions. CONCLUSIONS: Motor vehicle mismatch crashes are associated with a significant increase in risk of severe injury for PV occupants in the USA. Addressing vehicle compatibility remains an important issue for occupant safety.

Optimizing the safety-efficiency balancing of automated vehicle car-following.

This paper proposes an approach to rationally set automated vehicles' car following behavior that explicitly balances between the competing considerations of safety (i.e. small probabilities of a high-consequence crash) and efficiency (guaranteed but small impacts on journey arrival time due to the choice of car following distance). The specification of safety and efficiency are both based on empirically supported concepts and data. In numerical analyses with empirical vehicle trajectories at two sites, we demonstrate intuitive response to systematic variation in numerical values selected as inputs, as well as whether the scope of the efficiency consideration is selfish or systemwide. The proposed balancing is aligned with the standard "Hand Rule" criterion to demonstrate that a duty of care has been met, in which a burden must be borne if it is less than the product of the probability of loss to a third party and the magnitude of loss. Thus the proposed approach is intended to be useful for designers of control algorithms for AVs to establish that they have met their duty of care, taking both safety and efficiency into account.

Exploring the who, what, when, where, and why of automated vehicle disengagements.

Automated vehicles are emerging on the transportation networks as manufacturers test their automated driving system (ADS) capabilities in complex real-world environments in testing operations like California's Autonomous Vehicle Tester Program. A more comprehensive understanding of the ADS safety performances can be established through the California Department of Motor Vehicle disengagement and crash reports. This study comprehensively examines the safety performances (159,840 disengagements, 124 crashes, and 3,669,472 automated vehicle miles traveled by the manufacturers) documented since the inauguration of the testing program. The reported disengagements were categorized as control discrepancy, environmental conditions and other road users, hardware and software discrepancy, perception discrepancy, planning discrepancy, and operator takeover. An applicable subset of disengagements was then used to identify and quantify the 5 W's of these safety-critical events: who (disengagement initiator), when (the maturity of the ADS), where (location of disengagement), and what/why (the facts causing the disengagement). The disengagement initiator, whether the ADS or human operator, is linked with contributing factors, such as the location, disengagement cause, and ADS testing maturity through a random parameter binary logit model that captured unobserved heterogeneity. Results reveal that compared to freeways and interstates, the ADS has a lower likelihood of initiating the disengagement on streets and roads compared to the human operator. Likewise, software and hardware, and planning discrepancies are associated with the ADS initiating the disengagement. As the ADS testing maturity advances in months, the probability of the disengagement being initiated by the ADS marginally increases when compared to human-initiated. Overall, the study contributes by understanding the factors associated with disengagements and exploring their implications for automated systems.

Advanced vehicle technologies and road safety: A scoping review of the evidence.

The proliferation of Advanced Vehicle Technologies (AVTs) has generated both excitement and concern among researchers, policymakers, and the general public. An increasing number of driver assistance systems are already available in today's automobiles; many of which are expected to become standard. Therefore, synthesizing the available evidence specific to the safety of AVTs is critical. The goal of this scoping review was to summarize this evidence with a focus on AVTs that require some driver oversight (i.e., Levels 0-3 as per the Society of Automotive Engineers (SAE) levels of automation taxonomy). A scoping review of research literature on AVTs was conducted for studies up to March 2018. Inclusion criteria consisted of: any study with empirical data of AVTs that included male and female drivers aged 16 years and older, healthy people (i.e., without impairments), passenger vehicles, driving simulators and/or large databases with road safety information that could be analyzed for the purpose of examining AVTs (SAE Levels 0-3), as well as measures of driving outcomes. A total of 324 peer-reviewed studies from 25 countries met the inclusion criteria for this review with over half published in the last 5 years. Data was extracted and summarized according to the following categories: measures used to evaluate the effect of AVTs on road safety (objective) and driver perceptions of the technology (subjective), testing environment, and study populations (i.e., driver age). The most commonly reported objective measures were longitudinal control (50 %), reaction time (40 %), and lateral position (23 %). The most common subjective measures were perceptions of trust (27 %), workload (20 %), and satisfaction (17 %). While most studies investigated singular AVTs (237 of 324 studies), the number of studies after 2013 that examined 2 or more AVTs concurrently increased. Studies involved drivers from different age groups (51 %) and were conducted in driving simulators (70 %). Overall, the evidence is generally in favour of AVTs having a positive effect on driving safety, although the nature and design of studies varied widely. Our examination of this evidence highlights the opportunities as well as the challenges involved with investigating AVTs. Ensuring such technologies are congruent with the needs of drivers, particularly younger and older driver age groups, who are known to have a higher crash risk, is critical. With automotive manufacturers keen to adopt the latest AVTs, this scoping review highlights how testing of this technology has been undertaken, with a focus on how new research can be conducted to improve road safety now and in the future.

Speeding and Speed Modification of Older Drivers: Does Vehicle Type Make a Difference?

The purpose of this study was to examine whether vehicle type based on size (car vs. other = truck/van/SUV) had an impact on the speeding, acceleration, and braking patterns of older male and female drivers (70 years and older) from a Canadian longitudinal study. The primary hypothesis was that older adults driving larger vehicles (e.g., trucks, SUVs, or vans) would be more likely to speed than those driving cars. Participants (n = 493) had a device installed in their vehicles that recorded their everyday driving. The findings suggest that the type of vehicle driven had little or no impact on per cent of time speeding or on the braking and accelerating patterns of older drivers. Given that the propensity for exceeding the speed limit was high among these older drivers, regardless of vehicle type, future research should examine what effect this behaviour has on older-driver road safety.

The adaptability and challenges of autonomous vehicles to pedestrians in urban China.

China is the world's largest automotive market and is ambitious for autonomous vehicles (AVs) development. As one of the key goals of AVs, pedestrian safety is an important issue in China. Despite the rapid development of driverless technologies in recent years, there is a lack of researches on the adaptability of AVs to pedestrians. To fill the gap, this study would discuss the adaptability of current driverless technologies to China urban pedestrians by reviewing the latest researches. The paper firstly analyzed typical Chinese pedestrian behaviors and summarized the safety demands of pedestrians for AVs through articles and open database data, which are worked as the evaluation criteria. Then, corresponding driverless technologies are carefully reviewed. Finally, the adaptability would be given combining the above analyses. Our review found that autonomous vehicles have trouble in the occluded pedestrian environment and Chinese pedestrians do not accept AVs well. And more explorations should be conducted on standard human-machine interaction, interaction information overload avoidance, occluded pedestrians detection and nation-based receptivity research. The conclusions are very useful for motor corporations and driverless car researchers to place more attention on the complexity of the Chinese pedestrian environment, for transportation experts to protect pedestrian safety in the context of AVs, and for governors to think about making new pedestrians policies to welcome the upcoming driverless cars.

A numerical investigation of factors affecting lumbar spine injuries in frontal crashes.

Recent field data analyses have shown that lumbar spine fractures occurred more frequently in late model vehicles than the early ones in frontal crashes. Therefore, the objective of this study was to investigate risk factors associated with lumbar spine fractures in frontal crashes. Parametric simulations were conducted using a set of validated vehicle driver compartment model, restraint system model, and a HIII mid-size male crash test dummy model. Risk factors considered in the study included occupant seating posture, crash pulse, vehicle pitch angle, seat design, anchor pre-tensioner, dynamic locking tongue, and shoulder belt load limiter. ANOVA and ANCOVA were used to test the statistical significance (p < 0.05). Simulation results showed that all the factors that reduced the risk of submarining increased the lumbar spine forces, indicating a direct conflict between submarining and lumbar spine fractures. Among all the factors selected, seat structure is the most significant factor in determining the lumbar spine force (p < 0.001). Crash pulse severity, time at which the peak crash deceleration reached, and pitch angle are also crucial for lumbar spine force. Specifically, increase in vehicle pitch angle increased lumbar spine force, but reduced injury measures to other body regions; while a crash pulse with early peak produced greater lumbar spine force than that with a late peak. On average, more reclined posture increased the lumbar spine force compared to upright posture, and decreases in the coefficient of friction between the pelvis and the seat cushion reduced the lumbar spine force. However, they are not statistically significant. This study provided better understanding of effects from design countermeasures to reduce occupant lumbar spine injuries in new generation of vehicle models.

A priori acceptance of highly automated cars in Australia, France, and Sweden: A theoretically-informed investigation guided by the TPB and UTAUT.

To assess and explain finely drivers' a priori acceptance of highly automated cars, this study used the Theory of Planned Behaviour (TPB) and the Unified Theory of Acceptance and Use of Technology (UTAUT). Further, the current study sought to extend upon previous research to assess if intentions to use highly automated cars in the future differed according to country (i.e., Australia, France, & Sweden). These three countries were selected to enable comparisons of a priori acceptance between countries of differing levels of exposure to highly automated cars. Participants (N = 1563; 62.1 % male) were recruited in Australia (n = 558), France (n = 625), and Sweden (n = 380) to complete a 20 min online questionnaire. The findings differed according to country of residence. Individuals residing in France reported significantly greater intentions to use highly automated cars when they become publicly available compared to individuals residing in Australia and in Sweden. Of the TPB constructs entered at step 1 in the hierarchical regression, attitudes, subjective norms, and perceived behavioural control (capability and controllability) were significant predictors of intentions to use highly automated cars for participants residing in Australia and France. For participants residing in Sweden, only attitudes and PBC-capability were significant predictors of intentions. Of the UTAUT constructs entered at step 2, performance expectancy and effort expectancy were significant predictors of intentions for participants residing in France and only performance expectancy a significant predictor of intentions for participants residing in both Australia and Sweden. Age and gender did not add to the prediction of intentions when entered at step 3. However, pre-existing knowledge was a significant negative predictor of intentions when entered at step 3 for participants residing in Australia. Overall, the findings found some support for applying the TPB and UTAUT to assess intentions to use highly automated cars in different countries. The findings also highlight differences in a priori acceptance across countries and the factors which predict such acceptance.

[Peculiarities of injuries to the extremities of the driver and the front-seat passenger in a head-on collision between cars].

The study included two stages. At the first one, it was experimentally established which segments of the upper and lower extremities of the driver and the front-seat passenger experience maximum traumatic stress at the moment offrontal collision between cars. At the second stage, results of forensic medical examination of the bodies of drivers and front-seat passengers who had died in motor-vehicle accidents were used to elucidate certain morphological features of the injured extremities and to clarify their possible mechanism.

"Beasts"-New Zealand's utility vehicles: their climate change emissions and macho marketing.

Vehicle emissions are an important contributor to the growth of greenhouse gas emissions in New Zealand. Here we explore the role of sports utility vehicles (SUVs) and light utility vehicles (utes) in this problem. Marketed as macho symbols of toughness and dominance, often through comparisons with savage predators, these vehicles are promoted largely to male consumers. Eight out of 10 of the highest-selling new light vehicles in 2018 were SUVs or diesel-powered utes, with the latter standing out as the heaviest emitters of CO2, as well as posing health hazards through their emissions of fine particulates and NOx. The current popularity of these vehicles may create resistance to some of the substantive regulatory steps which will be needed if New Zealand is to meet its climate change commitments under the 2015 Paris Agreement. An example of such an initiative is the current government proposal for a Clean Car Standard and Clean Car Discount-a 'feebate' scheme which confers a price advantage on new electric vehicles and smaller cars.

Exploring relationships between observed activation rates and functional attributes of lane departure prevention.

Objective: Drivers' use of lane departure warning and prevention systems is lower than use of other crash avoidance technologies and varies significantly by manufacturer. One factor that may affect use is how well a system prevents unintended departures. The current study evaluated the performance of systems that assist in preventing departures by providing steering or braking input in a 2016 Chevrolet Malibu, 2016 Ford Fusion, 2016 Honda Accord, and 2018 Volvo S90. These vehicles were selected because a prior observational study found that the percentage of privately owned vehicles that had lane departure prevention systems turned on varied among these 4 automakers. Method: In each vehicle, a test driver induced 40 lane drifts on left and right curves by steering the vehicle straight into the curve so that vehicles departed in the opposite direction and 40 lane drifts on straightaways by slight steering input to direct the vehicle to left and right lane markers. Results: Vehicles from automakers with higher observed lane departure prevention use rates (Volvo, Chevrolet) featured systems that provided steering input earlier and more often avoided crossing lane markers by more than 35 cm compared to vehicles from automakers with lower observed use rates (Ford, Honda). Conclusion: The study identified functional characteristics (i.e., timing of steering input, prevention of departures more than 35 cm) of lane departure prevention systems that were strongly associated with observed activation of these systems in privately owned vehicles. Although this relationship does not imply causation, the findings support the hypothesis that functional characteristics of lane departure prevention systems affect their use. Designers may be able to use these results to maximize driver acceptance of future implementations of lane departure prevention.

Potential benefits of controlled vehicle braking to reduce pedestrian ground contact injuries.

Protecting struck pedestrians during the ground contact phase has been a challenge for decades. Recent studies have shown how ground related injury is influenced by pedestrian kinematics. In this paper we further developed this approach by assessing the potential of controlling vehicle braking to reduce pedestrian ground contact injuries. Applying a recently proposed Simulation Test Sample, a series of simulations were run using the MADYMO software environment. The approach considered 6 vehicle shapes, 4 pedestrian models, 3 impact velocities and 2 pedestrian gaits and each case was considered with two different vehicle braking approaches. The first was full braking, while the second applied controlled braking, for which a strategy based on pedestrian kinematics was applied. The effect of vehicle braking was evaluated using the Weighted Injury Cost (WIC) of overall pedestrian injuries and the pedestrian-ground impact velocity change. The proximity of the vehicle and pedestrian at the instant of ground contact was also evaluated to assess the potential of future vehicle based intervention methods to cushion the ground contact. Finally real-world videos of pedestrian collisions were analyzed to estimate the available free vehicle stopping distances. Results showed substantial median reductions in WIC and head impact velocity for all vehicle shapes except the Van. The proximity of the pedestrian to the vehicle front at the instant of ground contact under controlled braking is less than 1.5 m in most cases, and the required stopping distance for the vehicle under controlled braking was within the available stopping distance estimated from the video footage in about 74% of cases. It is concluded that controlled braking has significant potential to reduce the overall burden of pedestrian ground contact injuries, but future efforts are required to establish an optimized braking strategy as well as a means to handle those cases where controlled braking is not beneficial or even harmful.