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The purpose of this paper is to design a unified operational design domain (ODD) monitoring framework for mitigating Safety of the Intended Functionality (SOTIF) risks triggered by vehicles exceeding ODD boundaries in complex traffic scenarios.

A unified model of ODD monitoring is constructed, which consists of three modules: weather condition monitoring for unusual weather conditions, such as rain, snow and fog; vehicle behavior monitoring for abnormal vehicle behavior, such as traffic rule violations; and road condition monitoring for abnormal road conditions, such as road defects, unexpected obstacles and slippery roads. Additionally, the applications of the proposed unified ODD monitoring framework are demonstrated. The practicability and effectiveness of the proposed unified ODD monitoring framework for mitigating SOTIF risk are verified in the applications.

First, the application of weather condition monitoring demonstrates that the autonomous vehicle can make a safe decision based on the performance degradation of Lidar on rainy days using the proposed monitoring framework. Second, the application of vehicle behavior monitoring demonstrates that the autonomous vehicle can properly adhere to traffic rules using the proposed monitoring framework. Third, the application of road condition monitoring demonstrates that the proposed unified ODD monitoring framework enables the ego vehicle to successfully monitor and avoid road defects.

The value of this paper is that the proposed unified ODD monitoring framework establishes a new foundation for monitoring and mitigating SOTIF risks in complex traffic environments.

The present chapter puts one perspective center stage and looks at the relationship between TSC and its manifestation in individuals. More specifically, we are concerned with the relationship between processes of attitude formation and attitude change. The concept of attitudes is one out of several psychological constructs which are known to have mediating influence on actual behavior. Thus, it is a possible starting point to positively influence behavior in road traffic toward higher levels of (commitment to) safety. Understanding how safety culture is internalized by individuals and how it shapes safe conduct shall be theoretically described and practically exemplified to show how this approach can become useful and relevant for practitioners in the field of road safety.

The argument is developed in three parts. In the first part, Herbert Kelman’s (1958) conceptual scheme of three stages of attitude change is presented in which the levels of compliance, identification, and internalization of values are distinguished. In the second part, it is argued that these different levels of value integration correspond with three different kinds of psychological theories which address the relationship between attitudes and deliberately conducted behavior (action). It is a well-known fact in the science of human action that there is no direct relationship between attitudes, decision making, and action. Using Kelman’s three levels of value internalization as a scheme of reference, the conditions under which persons act in line with their attitudes can be conceptualized more precisely. From a normative point of view, it is argued that persons who align their actions and attitudes with reference to socially appreciated values are said to be elaborated. They orient their conduct by an ethos of safety to which they feel committed and they are able to interact in mindful ways. We discuss some of the basic constructs at each level and underpin their importance with reference to behavioral change toward higher levels of safety with empirical findings that have been published. In a third part, we present our findings in a summarizing table and suggest a list of factors and themes which mainly correspond to one of the three stages of attitudinal change and value internalization. Finally, we outline some examples of how traffic safety interventions can be conceptualized at these different levels.

Studying the relationship between crime and traffic accidents in different geographical regions is very critical since varying relationships have been reported to exist in diverse areas. The purpose of this paper is to determine the relationship between crime with injuries and deaths due to road traffic accidents in Iran.

In this study, macro-level panel data between 2007 and 2013 were used. The number of folders due to crimes in each province was used as explanatory variables to show the amount of crime in each province. The number of fatal and injury death was used as outcome variables. The models were estimated using fixed effect panel regression estimator.

The results of this study showed that the number of records in courts (Cr) had a significant positive relationship with fatal accidents (coefficient=0.006). In the injury accidents model, Cr coefficient was 0.008 and significant. In addition, GINI had positive relationship with fatal accidents (coefficient: 1.396), while it had no significant relationship with injury accidents.

A positive association was found between crime and mortalities and morbidities due to traffic accidents. Traffic accidents and crimes are derived from a similar nature. So traffic accidents could be categorized as crime and it is important to increase more prohibitions to decrease traffic accidents. Prevention programs should focus on population groups with high social distinction and criminals, especially traffic offenses.

The aim of this chapter is to analyse how the governing capacity of current policy instruments might be affected in futures of smart mobility. In order to explore this issue, the authors make use of the so-called NATO (nodality, authority, treasure, organisation) framework for analysing two contrasting scenarios. The analyses show that the overall governing capacity of many of the policy instruments is strengthened or maintained in both of the scenarios. However, the governing capacity of some policy instruments is reduced, and some seem to need calibration, not least because authorities’ access to and control over data are under question. Future governing capacity hinges on access to data, although all resources are, in one way or another, affected.

Decision-making is one of the key technologies for self-driving cars. The high dependency of previously existing methods on human driving data or rules makes it difficult to model policies for different driving situations.

In this research, a probabilistic decision-making method based on the Markov decision process (MDP) is proposed to deduce the optimal maneuver automatically in a two-lane highway scenario without using any human data. The decision-making issues in a traffic environment are formulated as the MDP by defining basic elements including states, actions and basic models. Transition and reward models are defined by using a complete prediction model of the surrounding cars. An optimal policy was deduced using a dynamic programing method and evaluated under a two-dimensional simulation environment.

Results show that, at the given scenario, the self-driving car maintained safety and efficiency with the proposed policy.

This paper presents a framework used to derive a driving policy for self-driving cars without relying on any human driving data or rules modeled by hand.

Sustainable mobility will be the key to the survival of mankind in the 21st century. Cities with debt-ridden and poorly managed transport systems have to change to the ever-growing demands of the public transport system. The low cost of transport has been a key factor in sustainable development for any city. This study is trying to propose a framework for the selection of sustainable transport in context to an Indian case of NCR Delhi, India.

The present study has identified eight criteria for the selection of a sustainable transport system. Criteria for selection of sustainable transport are CO₂ emissions, cost of fuel, energy efficiency, cost of maintenance, number of accidents, congestion, number of injuries and road noise. Three alternatives of transport considered for this study are state-run bus, pooled car and Shuttl (App-based buses). The analytic hierarchy process (AHP) is used to prioritize the criteria. The study has further illustrated a framework for the selection of sustainable transport based on these criteria.

It is observed that CO₂ emissions are the most important criterion for a sustainable transport system. It is followed by a reduction in congestion and the number of injuries. Three alternatives of transport considered for this study are state-run bus, pooled car and Shuttl (a service provider). Shuttl has been found to be the most sustainable transport system.

AHP is not able to capture the vagueness in decision-making. Therefore, fuzzy AHP can be considered for further detailed analysis as future scope of study in a different context of a sustainable transportation system. Major implications for policymakers and stakeholders are that development of public transport in cities should be done after considering different dimensions of sustainable operations.

The study has proposed a unique framework for the selection of a sustainable transport system by the public based on sustainability criteria. Findings will help policymakers in formulating strategies for developing sustainable transport system.

Analysis of data on road accidents collected from different sources brings forth important characteristics related to the nature of accidents. Based on this, the fatality index (FI) is defined as the ratio of fatalities to injuries in accidents. An increase in FI is indicative of fatalities in accidents. High FI is observed to correlate positively with difficult terrain, slow response and poor medical facilities. FI therefore represents an important indicator for planning initiatives to reduce fatalities related to road accidents.

Road policing is a key method used to improve driver compliance with road laws. However, the authors have a very limited understanding of the perceptions of young drivers regarding police enforcement of road laws. The paper aims to address this gap.

Within this study 238 young drivers from Queensland, Australia, aged 17-24 years (M=18, SD=1.54), with a provisional (intermediate) driver’s licence completed an online survey regarding their perceptions of police enforcement and their driver thrill-seeking tendencies. This study considered whether these factors influenced self-reported transient (e.g. traveling speed) and fixed (e.g. blood alcohol concentration) road violations by the young drivers.

The results indicate that being detected by police for a traffic offence, and the frequency with which they display P-plates on their vehicle to indicate their licence status, are associated with both self-reported transient and fixed rule violations. Licence type, police avoidance behaviors and driver thrill seeking affected transient rule violations only, while perceptions of police enforcement affected fixed rule violations only.

This study suggests that police enforcement of young driver violations of traffic laws may not be as effective as expected and that the authors need to improve the way in which police enforce road laws for young novice drivers.

This paper identifies that perceptions of police enforcement by young drivers does not influence all types of road offences.

The aim of the present study is to explore institutional design strategies that promote compliance by regulating peculiar sorts of agents, namely, human trafficking victims, starting from the point of view that institutions assume addressee virtue, but instead should consider the hypothesis of non-compliance or that the measures adopted reveal their inefficiency to satisfy the goals they were thought for, or that they are applied to obtain scopes, which are different from the ones they were conceived for.

Different methodological approaches, both deductive and inductive, are combined in the present paper, together with comparative and philosophical insights on national court decisions, scholarly writings, national and international entities’ official reports and statistics.

Because EU member states’ experts are discussing about common guidelines, policies and standards to manage migration fluxes and EU integration process, this study highlights some critical points arising from the specific condition of a peculiar human trafficking victim: a migrant.

The study offers insights into the possible answers in terms of awarding prize to and humanitarian protection of victims to fight human trafficking and smuggling in a constructive way, emphasising that these instruments (awarding and humanitarian) are not mutually exclusive and can be mixed together.