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For the purpose of reducing the incidence of hazardous materials transport accident, eliminating the potential threats and ensuring their safety, aiming at the shortcomings in the process of current hazardous materials transportation management, this paper aims to construct the framework of hazardous materials transportation safety management system under the vehicle-infrastructure connected environment.

The system takes the intelligent connected vehicle as the main supporter, integrating GIS, GPS, eye location, GSM, networks and database technology.

By analyzing the transportation characteristics of hazardous materials, this system consists of five subsystems, which are vehicle and driver management subsystem, dangerous sources and hazardous materials management subsystem, route analysis and optimization subsystem, early warning and emergency rescue management subsystem, and basic information query subsystem.

Hazardous materials transportation safety management system includes omnibearing real-time monitoring, timely updating of system database, real-time generation and optimization of emergency rescue route. The system can reduce the transportation cost and improve the ability of accident prevention and emergency rescue of hazardous materials.

The purpose of this paper is to use the conceptual model of the Smart Transportation Management (STM) system and analyze how the included factors change the performance of distribution activities and what management issues are at stake.

To prepare the paper, a literature study was made and case studies carried out in companies and organizations that are included in advanced transportation setups, including infrastructure providers, carriers, truck manufacturers, software providers, shippers, and more.

The main finding of the study is a model that includes three major components of smart transportation management, namely, smart goods, smart vehicles and smart infrastructure. These components embrace some factors that have effects on supply chain performance; however, to different extents.

The paper uses a framework for the smart transportation management system that is useful when studying advanced transportation management systems, the functions that need to be supported and what factors have effects on supply chain performance.

Practical implications are mainly based on the structure of the smart transportation system that is used and the identified factors that affect the performance of the supply chain, as these factors can be influenced by logistics management.

The framework used in this research is a new development that collects advanced functions of goods identification, vehicle information systems and infrastructure systems into one conceptual model for smart transportation management that include some factors that are affecting supply chain performance.

The purpose of this paper is to explore the pathway toward operationalizing resilience in management of transportation infrastructure.

The research approach includes a comprehensive survey of the State Transportation Agencies (STA) in the USA. The information collected from the survey is analyzed using statistical analysis to explore the determinants of operationalizing resilience in transportation infrastructure management.

The results reveal that the current practices of STA need improvement in terms of pre-disaster vulnerability and exposure analysis as well as pre-disaster retrofit and betterment efforts. A pathway toward this end is identified with the major components being: funding availability, integration of efforts across different units, use of risk and vulnerability assessment approaches, and use of resilience indices.

The pathway, along with the other findings, enhances the understanding of the status quo, drivers, and barriers toward operationalizing resilience in transportation infrastructure management. Such an understanding is critical for infrastructure agencies to better adapt and enhance the resilience of their assets in response to various stressors such as the impacts of climate change as well as natural disasters.

The study presented in this paper is the first of its kind to identify the pathway toward operationalizing resilience in transportation infrastructure management.

The purpose of this study is to develop a new information and communication technology (ICT)-based approach for optimising safety transportation according to the needs of the current industrialised building system (IBS) building construction schemes. The improper handling and information management of road transport workers appears to be a major problem in the safety of the IBS building construction industry. Transportation activity is particularly problematic for IBS building construction projects in which traffic incident and safety management level are not in good condition to match with construction specification.

A new ICT-based approach is suggested for optimising safety transportation in accordance with the needs of the current IBS building construction schemes. As a precursor to this work, the concept of road transport workers practices is reviewed and the main features of ICT tools and techniques currently being used on such projects are presented.

The sophisticated road transport workers system solutions is described as an essential component of this optimisation to promote long-term safety and quality improvements of IBS building construction projects.

Finally, the potential for a research framework for developing such a system in the future is presented.

By designing a system dynamics model in the form of a multimodal transportation system, this study for the first time seeks to reduce costs and time, and increase customer satisfaction by considering uncertainties in the intra city transit system, especially demand uncertainty and provide a prototype system to prove the capability of the dynamical system.

The paper tried to model the factors affecting the intra city multimodal transportation system by defining different scenarios in the cause-and-effect model. The maps and results developed according to system dynamics modeling principles are discussed.

Four scenarios were considered given the factors affecting the urban transportation system to implement the transportation information system for reducing the material and non-material costs of wrong planning of the intra city transit system. After implementing the scenarios, scenario two was selected under the following conditions: advertising for cultural development, support of authorities by efforts such as street widening to reduce traffic, optimize infrastructure, increase and optimize public transport and etc.

The value of this paper is considering uncertainty in traffic optimization; taking into account behavioral and demand indicators such as cultural promotion, official support, early childhood learning, traffic hours and the impact of traveler social status; investigating the factors affecting the system under investigation and the reciprocal effects of these factors and real-world simulation by considering the factors and effects between them.

Pharmaceuticals supply chain management (SCM) requires special expertise to transport the medicinal products because of weird features of their demand, supply and sensitivity towards quality. The purpose of this study is to establish the linkage of pharmaceutical quality system requirements with the SCM principles. The study enables the collaborative approach of technical, transport, logistics and supply chain teams within the pharmaceutical industry.

The methodology followed for this study is literature review and survey. The study is supplemented with data obtained through the structured questionnaire.

Through this study, an exclusive perspective for pharmaceutical good transportation practice (GTP) has been propagated in alignment with seven principles of SCM by Anderson. This study offers guidance to pharmaceutical industry for transportation of products by conceptualizing basic supply chain features such as segmentation, customization of requirement, market signals, differentiation, technology orientation and channel spanning performance.

Here is limited information available about the transportation failures in the pharmaceutical industry. Application of supply chain principles to pharmaceutical transportation is sometimes affected by technical knowledge bias of the researcher.

The study has successfully expounded the practical aspects of pharmaceutical GTP for supply chain professionals.

The study facilitates the patients and pharmaceutical consumers to get quality products in a timely manner across the globe.

The application of SCM principles to the pharmaceutical GTP is the result of novel research and has not been studied earlier.

With various challenges in the digital era, stakeholders are expressing growing interests in understanding the impact of emerging and disruptive technologies on freight transportation. This paper provides a systematic literature review of the current state of affairs as well as future trends and aims to support stakeholders' decision-making in logistics management in the era of disruptive technologies.

Several recent and representative articles from academic, industrial and governmental perspectives were investigated to set the scene for this research and to serve as a baseline for electing nine emerging technologies, which were then used to conduct a systematic literature review covering the literature within the area during the past twelve years.

3D printing, artificial intelligence, automated robots, autonomous vehicles, big data analytics, blockchain, drones, electric vehicles and the Internet of Things were identified as the emerging technologies. The current state of existing research and potential future opportunities were analyzed.

Since the potential literature body is almost impossible to fully cover, a tradeoff between the number of emerging technologies and the related literature reviewed has been performed. However, the paper provides a novel approach to select the emerging and disruptive technologies and a systematic literature review to fill the identified research gap in the related literature.

The research support various stakeholders to better capture the current status of and the future opportunities in freight transportation and gain a clearer understanding of the disruptive technologies as well as to guide them in how to deploy these initiatives in future decision-making.

By providing a systematic literature review on the trends, themes and research opportunities in the era of disruptive technologies, the papers bring about broad and comprehensive review on the impact of disruptive technologies on logistics and transportation as well as opportunities to support management decision support in the logistics industry.

The traffic flow pattern of the material distribution activity within the Canadian Forces was evaluated. The aim was to validate the current operation of the material traffic system. Sample transportation data were collected, and the traffic flow pattern and utilisations of the Canadian Forces′ scheduled tractor‐trailer units were statistically inferred. Because historical material traffic data were lacking, the material traffic flow pattern for this one‐time snapshot of the transportation system did not provide a basis from which any trend on the Canadian Forces′ vehicle utilisation could be established.

The purpose of this paper is to explore use of the Theory of Constraints (TOC) approach in addressing traffic congestion as the main impediment to improving utility of the land transportation systems. The observed element is a motorway segment with regulated access.

As the literature addressing this topic is rare or nonexistent, this study employs exploratory design, developing tentative theory through the generation of new ideas and assumptions forming grounded picture as a base for further investigation.

The study concludes that the most binding constraint is broken in the third out of the TOC’ five steps and that the improvement in the given segment of the land transportation system is possible to be achieved using this framework.

Although the merits of use of TOC have been considered in other than just production-planning environments, its application in land transportation systems has never been examined. This study presents one of the rare, if not the only attempt to make use of this unique theory that is systematised in the systems management paradigm within the realm of land transportation systems.

In this paper, an intelligent information assisted communication transportation framework (II-CTF) has been introduced to reduce congestion, data reliability in transportation and the environmental effects.

The main concern of II-CTF is to mitigate public congestion using current transport services, which helps to improve data reliability under hazardous circumstances and to avoid accidents when the driver cannot respond reasonably. The program uses machine learning assistance to predict optimal routes based on movement patterns and categorization of vehicles, which helps to minimize congestion of traffic.

In II-CTF, scheduling traffic optimization helps to reduce the energy and many challenges faced by traffic managers in terms of optimization of the route, average waiting time and congestion of traffic, travel, and environmental impact due to heavy traffic collision.

The II-CTF definition is supposed to attempt to overcome some of the problems of the transportation environment that pose difficulties and make the carriage simpler, safer, more efficient and green for all.