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Broad coalitions of companies, governments, and research institutions in several countries are currently designing massive electronic infrastructures for their roadways. Known collectively as intelligent vehicle‐highway systems (IVHS), these technologies are intended to ease toll collection and commercial vehicle regulation, provide drivers with route and traffic information, improve safety and ultimately support fully automated vehicles. Although many aspects of IVHS are uncertain, some proposed designs require the system to collect vast amounts of data on individuals′ travel patterns, thus raising the potential for severe invasions of privacy. To make social choices about IVHS, it is necessary to reason about potentials for authoritarian uses of an IVHS infrastructure in the hypothetical future. Yet such reasoning is difficult, often veering towards Utopian or dystopian extremes. To help anchor the privacy debate, places IVHS privacy concerns in an institutional context, offering conceptual frameworks to discuss the potential interactions between IVHS technologies and the computer design profession, standards‐setting bodies, marketing organizations, the legal system and government administrative agencies.

The technological revolution is fundamentally changing our lifestyle, work, and communication. There is still no accurate information about the future of this great transformation, but one thing is quite clear: the speed of the transformations in terms of scale and complexity, like a storm, will go through all aspects of a society's life and change all the current paradigms. One of the expectations from the fourth industrial revolution will be the expansion of smart cities in accordance with sustainable development criteria. In order for a city to be truly smart and innovative, city officials must pay attention to elements such as renewable and clean energy such as the internet of things, smart networks, smart parking, and smart transportation. In another sense, there must be a balance between economy, environment, and society in order to build a strong, sustainable, and flexible smart city that will survive the test of time. Of course, based on the 7PS model, the dimensions of culture and education are very important and fundamental for high sustainability. Researchers and those involved in the implementation of smart cities have explained the main indicators to identify these cities, which include some of the following items: For example, smart building, environmental protection, smart garbage collection, digitization of all government affairs and administrative work, widespread use of smartphones and electronic devices, complete, convenient, and universal access to the internet, car sharing service and online taxi. Other important indicators include the intelligentization of the traffic system and urban planning, citizen participation, economic ecosystem, optimization in electricity, water and energy consumption, development of electric and electric public transportation fleet, quality control and management, and reduction of air pollution. In this chapter, the theory of i-Sustainability Plus and i-Comprehensive Strategic Urban Plan is introduced as the beating heart of the ubiquitous blue-green smart city design. In such urban areas, it is all about the combination of real life, virtual reality, and in addition the future of clean technologies. In general, it can be said that sustainable smart cities are a solution to combat the challenges of urbanization.

These days vehicles' spare parts (SPs) are a very big market, and there is a very high demand for these parts. Forecasting vehicles' SPs price and demand are difficult because of the lack of data and the pricing of the SPs is not following the normal value chain methods like normal products.

A proposed model using multiple linear regression was developed as a guide to forecasting demand and price for vehicles' SPs. A case study of selected hybrid vehicle is held to validate the results of the research. This research is an original study depending on quantitative and qualitative methods; some factors are generated from realistic data or are calculated using numerical equations and the analytic hierarchy process (AHP) method; online questionnaire and expert interview survey.

The price and demand for SPs have a linear relationship with some independent variables is the hypothesis that is tested. Even though the proposed models are generally recommended for predicting demand and price, in this research the linear relationship models are not significant enough to calculate the expected price and demand.

This research should concern both academics and practitioners since it provides new intuitions on the distinctions between scientific and industrial world regarding SPs for vehicles as it is the first study that investigates price and demand of vehicles' SPs.

The purpose of this paper is to examine the propagation of benchmarking concepts among Indian manufacturing companies after liberalization of Indian economy.

To determine the propagation of benchmarking concepts in the Indian manufacturing sector, first, a postal survey was conducted on 500 Indian manufacturing companies. Only 97 companies participated in the survey. Subsequently, interviews with 20 managers of six manufacturing companies were undertaken.

Research showed that benchmarking in Indian manufacturing sector is still in the nascent stage, but there is a positive attitude towards adoption of benchmarking concepts. The industry sectors, which typically show above average levels of benchmarking activity, are motor vehicle, electric and electronic industries. By contrast, it is the process sectors, which record the lowest incidences of benchmarking. Identification of suitable benchmarking partner was considered to be the most important problem among Indian manufacturing companies.

A limitation of research is the number of respondents, which precludes the generalization of findings.

The study can help managers of manufacturing companies understand the problems and inhibitors to successful benchmarking.

The paper provides an attempt to find out propagation of benchmarking concepts in Indian context. The paper should be of interest to those researching or managing in the Indian manufacturing sector. This is one of the first studies on dissemination of benchmarking in developing countries and should encourage further research in these countries.

Nowadays, sustainable, clean, inclusive, innovative, and smart mobility in addition to urban transformation is required to achieve sustainable development as a path to preserve the world for future concerns and improve quality of life at the present, even to be kept up with growing citizens' needs. Mobility as an infrastructure component plays fundamental roles in urban transformation, and economic development. In this chapter, and based on the 5^th wave theory, related theories, models, and concepts, modern, clean, and inclusive mobility founded on high future of 4th technologies (which is called 5th technologies), digitalization, smartness, sustainability, and CSR 2.0 strategies is declared as proper clean mobility technologies to create sustainable and smart cities. Such smart cities are able to deal with challenges made by rapid, unplanned urbanization and globalization to achieve sustainable development. In this research, roles of inclusive and smart mobility systems as path to create modern and sustainable urban areas to make the world more sustainable and livable for living are declared. Literature reviews, case studies, interviews, and questionaries are applied as main methods to recognize inclusive and modern mobility and its roles in urban transformation to achieve sustainable development. This chapter is based on know-how and do-how of the author Prof. Hamid Doost on sustainability such as cooperating with Danish Sustainable Platforms Company, working with Erasmus Plus as an academic leader in Germany since 2017, cooperating with Copenhagen's former mayor and researching on sustainability. In this chapter, impact of sustainable mobility, sustainable buildings, and smart cities on CSR 2.0 and social responsibility, how these parameters improve sustainable development and sustainability in social responsibility, corporate social responsibility (CSR), and how social responsibility could influence humanities are explored.

In the era of connected and autonomous vehicles, a large amount of surrounding vehicular information can be acquired by the focal vehicle in real time using vehicle-to-vehicle communication technology, such as the core variable of electronic throttle opening angle. Meanwhile, the traffic jerk, such as the non-compliance of drivers and pedestrians, worsens the chaos of the surrounding traffic environment. To reflect the future traffic environment, the authors simultaneously incorporate the electronic throttle (ET) and traffic jerk into the traditional continuum model. The authors derive the stability criterion of the enhanced continuum model via the perturbation method.

To facilitate insight into the propagation and evolution mechanism of traffic jam near the stability condition, the authors use the nonlinear stability analysis method to derive the KdV-Burgers equation of proposed continuum model.

The new item of ET opening angle and traffic jerk have a positive impact on suppressing traffic congestion and improving road robustness.

The research on autonomous continuum models is rare. This model can better reflect the actual traffic, which can also provide a theoretical reference for the future traffic governance.