Transportation Technology Research Articles

Discovering latent topics and trends in autonomous vehicle-related research: A structural topic modelling approach

Autonomous Vehicle (AV) technology is a disruptive transportation technology that promises to revolutionize how people travel. Due to their potential mobility benefits and associated impacts on public health and the environment, they have received massive attention from transportation experts. To date, there have been numerous academic research conducted regarding AVs, and many attempts have been made to summarize these research documents by manually reviewing them. Nevertheless, due to the vast nature of the existing literature, it is challenging to synthesize the themes in AV-related research and to explore their trends to inform future research direction. This study aims to utilize an advanced natural language processing technique to provide a comprehensive overview of the recent developments in AV-related research. The abstracts of 3292 articles published in transportation-based journals from January 2016 to October 2022 were collected and used for this study. A Structural Topic Model (STM) was employed to explore the dominant research themes hidden in the extant literature on AV research, examine their evolution over time, and determine the topics highly associated with developing and developed economies. Overall, the study highlighted that the least common themes in the literature are in the areas of the development of complex vehicle designs, safety, environmental benefits, and the impact of AVs on transportation infrastructure. Nevertheless, themes concerning AV safety and the environment are emerging as hot topics since late 2021. Topics related to investigating user perceptions, policies/approaches to increase user demand, and AV control/stability are highly studied. Besides, they predominantly originated from developed countries. The research themes, their associated trends, and the key policy suggestions drawn from the study are potentially useful for making well-informed research funding decisions, setting research priorities for countries, and guiding the future research endeavours of researchers.

INVESTIGATING THE PROSPECT OF AUTONOMOUS TRAM (AT) TRANSIT CONSIDERING DAILY MOBILITY PATTERNS AND EXISTING BUS SERVICES COVERAGE IN SURAKARTA

Development of equitable and environmentally friendly public transit services is a pre-requisite if Indonesian cities were to attain sustainability objectives. Recent advances in transportation technology have introduced Autonomous Tram (AT) as an environmentally conscious option. This article investigates the prospect of implementing AT system using Surakarta as a case study. In doing so, we qualitative observe daily mobile patterns obtained through a primary survey and by considering existing Batik Solo Trans (BST) bus routes. Results indicate locations of road corridors most prominently used, overlapped with the existing bus services, indicating the geographic prospects of where to locate the AT system, The results from this study are expected to be a reference in AT research as a potentially sustainable public transportation service in Indonesia.

Sentiment Analysis og Goride Services on Twitter Social Media Using Naive Bayes Algorithm

Online motorcycle taxi is an application-based transportation technology innovation. Online motorcycles offer relatively low prices and offer discount features. However, the existence of online motorcycles creates congestion problems and conflicts between conventional transports. Various speculations arose in the midst of the public against Goride. So it makes the public opine and wants to judge an object openly through social media, one of which is Twitter. An opinion given by society is a textual opinion that can be analyzed. Sentiment analysis is used to detect opinions in the form of a person's judgment, evaluation, attitude, and emotion. The textual classification algorithm used in this study was Naive Bayes. This research aims to find out the public sentiment towards Goride's service as an online motorcycle taxi in positive and negative categories and to find out the accuracy results of the Naive Bayes algorithm against Goride's service. The data used in this study are secondary data. Data obtained by crawling using an API provided by Twitter developer. Analysis techniques are performed by text preprodeing, data labelling, word weighting, classification, then performance evaluation of classification. The results of the positive category sentiment classification are 698 data, while the negative category sentiment is 517 data. Which means more positive sentiment than negative sentiment. The accuracy performance of the Naive Bayes algorithm results in an accuracy rate of 77.78%.

The impact of delivery by a fixed-wing, sling-launched unmanned aerial vehicle on the hematologic function of whole blood.

Unmanned aerial vehicles (UAVs) have been shown to shorten delivery times of medical products in health care, providing a potential answer to the question of prehospital resuscitation where blood and blood products are not readily available. While the capabilities and efficiencies of delivery via UAVs are already well established, the postdelivery viability and hemostatic function of whole blood has not been examined. Whole blood units were sampled for a preflight control and loaded onto a fixed wing UAV. The UAVs flew in predetermined flight paths to either deliver via parachute drop or direct recovery after UAV capture by arresting gear. Postflight and preflight samples were assayed for coagulation function with thromboelastography, blood chemistry, and free hemoglobin to observe hemolysis. No significant differences in any metric were observed between the blood samples assayed preflight versus those flown and parachute dropped or those flown and recovered from the UAV. The use of UAVs for delivery of whole blood offers significant benefits for prehospital care. Further innovations in UAV and transportation technologies will expand on an already strong foundation. Therapeutic/Care Management; Level IV.

An insight into conversion of internal combustion engine (ICE) vehicle to electric vehicle for green transportation technology

An electric car is a type of alternative-fuel vehicle that uses electric motors and motor controllers instead of an internal combustion engine. Power is provided via battery packs rather than carbon emission-based fuel. It offers a variety of advantages over typical internal combustion engines, most notably lower local emissions and higher energy efficiency. The aim of this research is to modify the vehicle running with an internal combustion engine into an electric vehicle for transferring material from one place to another inside the industrial area. For this purpose, a Maruti 800 car model has been selected, and during the field work, all unwanted parts of the IC engine are removed to convert it into an electric vehicle. The analytical analysis has been carried out to calculate the power transmission capacity and the speed of the vehicle. The finite element analysis is also carried out to check the strength of reused parts like belt drives and crankshafts. A Simulink model of an electric vehicle is prepared to check its performance and provide suggestions during the vehicle's assembly. The vibration response has proven that the source vibration, the noise, vibration, and harshness (NVH) issues in electric vehicles (EV) differ significantly from those in internal combustion engines (ICE).

Application of Remote Sensing Technology in Sustainable Urban Planning and Development

Urban planning is super vital for cities. Good planning for the city would provide more convenience and benefits to citizens through economic effects, beautiful scenery and so on. This study analyses the application of remote sensing technologies in urban landscaping planning, transportation, and environmental protection. The combination of remote sensing and GIS technologies makes urban landscaping planning more accessible in urban landscaping planning. Usually, remote sensing provides satellite images, while the GIS processes the image and compares the target region for analysis. The combination method could predict urban green spaces. In urban transportation planning, remote sensing technology could combine with Artificial intelligence smart video technology to protect peoples safety in transportation, such as observing traffic violations by capturing videos or images and protecting traffic safety. In environmental protection, remote sensing could monitor the area change of wetlands and solve the natural disasters around the city. Different approaches have their benefits and disadvantages, and thus making urban plans by combining various techniques is essential.

Anticipating Current and Coming Technologies that Affect U.S. Travel Choices

Understanding the preferences for new and future transportation technologies is important to ensure an efficient and equitable future transportation system. A survey was conducted of Americans’ preferences for several such technologies. Americans are concerned about vehicle range and charging station availability for electric vehicles (EVs) and hesitant about autonomous vehicle (AV) safety. Opinions about many transportation technologies, such as vertical takeoff and landing (i.e., air taxis), shared parking, and air-drone delivery are mixed. These less familiar technologies require continued tracking of preferences. A 55% increase is estimated in the probability of an individual choosing a battery electric vehicle (BEV) pickup truck if its fuel economy increases by about 9%. This result supports a market for BEV pickup trucks currently under development by many automakers. The preference for vehicle autonomation appears to depend on the use case. Driving task automation is preferred by residents of low-density, car-dependent areas where long commutes are common. In contrast, automated parking technologies are favored by those living in denser communities. Intermittent bus lanes are favored by those living in high population density areas, but not among those in areas with high shares of zero-vehicle households. These results provide indications of where to direct future research in the field.

The evolutionary process of the development path of cultural tourism industry integration from a non-linear perspective

Abstract The cultural tourism industry and the tourism industry are both different and interrelated, and both are the most promising industries in the modern service industry. Along with the continuous socio-economic development, the influential role of cultural values is expanding and is an inevitable and positive industrial development trend. The globalization of the economy, changes in transportation and information technology, and the widespread use of the Internet have brought about a continuous increase in tourist demand, an essential change in the relationship between all relevant stakeholders in the cultural tourism industry, and an increasing complexity of development. The traditional linear approach to analyzing the components of the system ignores the complexity and dynamics of the cultural tourism industry, and it is difficult to adapt to the development practice. The results show that: after a major national public health outbreak of SARS at the end of 2002, the number of tourism receivers in Shanghai grew -by 13.11%; the number of tourism receivers in Shanghai grew by 24.82% with the bid for the Chinese Olympic Games in 2008, and the evolution of Shanghai’s cultural and tourism industry system has the characteristics of a small world and an approximate scale-free network, which behaves as a chaotic deterministic nonlinear dynamical system; the integration of Shanghai’s cultural and tourism industry follows “orderly - chaotic edge - emergent - new orderly”, the process of jumping up from low-level orderly to high-level orderly evolution; This paper provides a precise analysis of the evolutionary path of the cultural tourism industry, which effectively assists cultural tourism industry managers in adaptive management and regulation by providing methodological and technical support.

Key Technologies of Pure Hydrogen and Hydrogen-Mixed Natural Gas Pipeline Transportation.

Thanks to the advantages of cleanliness, high efficiency, extensive sources, and renewable energy, hydrogen energy has gradually become the focus of energy development in the world's major economies. At present, the natural gas transportation pipeline network is relatively complete, while hydrogen transportation technology faces many challenges, such as the lack of technical specifications, high safety risks, and high investment costs, which are the key factors that hinder the development of hydrogen pipeline transportation. This paper provides a comprehensive overview and summary of the current status and development prospects of pure hydrogen and hydrogen-mixed natural gas pipeline transportation. Analysts believe that basic studies and case studies for hydrogen infrastructure transformation and system optimization have received extensive attention, and related technical studies are mainly focused on pipeline transportation processes, pipe evaluation, and safe operation guarantees. There are still technical challenges in hydrogen-mixed natural gas pipelines in terms of the doping ratio and hydrogen separation and purification. To promote the industrial application of hydrogen energy, it is necessary to develop more efficient, low-cost, and low-energy-consumption hydrogen storage materials.

Sustainable technologies, mega-events, and environmental awareness—Lessons from Expo 2020 Dubai

Different sustainable technologies were used in Expo 2020 Dubai to construct the different participating pavilions. Moreover, participating countries in the Expo have presented their state-of-the-art sustainable urban planning, transportation, and energy technologies. The purpose of using and presenting these technologies was to raise the visitors' environmental awareness. Thus, this study first presents a sample of sustainable technologies that were used or presented at the Expo. It then seeks to determine if using and presenting these technologies has fulfilled the Expo goal of raising its visitors' environmental awareness. It also tries to find out which environmental dimension was raised the most. For this purpose, a questionnaire was used to measure environmental awareness before and after visiting Expo 2020 Dubai. Statistically analyzing the responses of 1,108 frequent visitors shows that Expo 2020 Dubai achieved its goal of increasing visitors' environmental awareness, particularly the environmental attitude dimension. The findings also reveal that it is essential to have a point of interest devoted to environmental issues in similar events. This positive impact on the visitors should convince upcoming mega-event planners to follow Expo 2020 Dubai's steps. However, researchers need to develop strategies to raise the willingness to act dimension of environmental awareness.

Review of Development Trend of Transportation Energy System and Energy Usages in China Considering Influences of Intelligent Technologies

With the continuous development of intelligent transportation technologies, new ways of energy usage in transportation continue to emerge, which puts forward new requirements for the planning and design of energy systems. However, comprehensive analyses on the characteristics of transportation energy systems and the development trend of energy usage patterns brought by intelligent technologies have rarely been carried out so far. This paper explores this subject by reviewing the recent development and utilization of intelligent technologies in the transportation system and its impacts on energy usage. This review is carried out from three aspects, covering the representative intelligent transportation and energy technologies on vehicles, infrastructures and systems. The scope is limited within road, railway and water transport domains, with a focus on the recent developments in China as a representative. In terms of vehicles, the development trend of the power systems for new energy vehicles, the characteristics of energy usages in electric vehicles and the effects on energy saving and emission reduction are summarized. In terms of infrastructures, new technologies on smart road, smart port, intelligent railway energy system and the usage of clear energy on electric grid for transportation are reviewed, with the consideration of their potential influences on energy usages and the energy consumption characteristics of typical facilities also being analyzed. As for the transportation system, this review has focused on intelligent and connected transportation systems, train control and autonomous systems, and intelligent shipping system, with the emphasis on the energy saving and emission reduction effects of applying these intelligent technologies. The overall development trend of the transportation energy system is then analyzed based on the above materials, in particular, the future energy usage patterns in transportation system are given and the major challenges and obstacles approaching the future scenarios are also identified.

Pilot study to measure the energy and carbon impacts of teleworking

Teleworking offers various socio-economic benefits to the workforce, especially during major disasters. However, the holistic net energy and greenhouse gas (GHG) emissions impacts of telework remain poorly understood. This paper develops and tests a longitudinal mixed-methods approach to estimate energy and emissions in three domains: home office, transportation, and information and communications technology (ICT). A pilot study of 11 participants from Ottawa, Canada, is used to evaluate the method, while generating a rich dataset and new insights. The results show transportation, home heating and cooling account for > 94% of telework-related energy, while home office equipment, lighting and ICT account for the remaining 6% (and < 2% of GHG emissions). Not including employer offices, teleworking will likely yield a net reduction in energy and GHG emissions compared with conventional working arrangements, but this result is dependent on personal choices, routines, purchasing decisions and household structure. The paper concludes with a discussion and future recommendations for the developed method based on the lessons learned. Practice relevance A new mixed-methods approach was developed and piloted to study the holistic energy impacts of teleworking. This demonstrates measurement tools, data analysis measures and scenario modelling. It provides lessons learned and acknowledges limitations. It is a major step forward in setting the stage for larger scale studies. The specific results showed that compared with conventional working arrangements, nine of the 11 participants are likely to consume less energy and produce fewer GHG emissions when teleworking based on a scenario-based analytical approach. However, if workers use sustainable transportation, teleworking may not yield any energy savings as increases in the home domain are expected. Future studies should include the employer offices.

Research on Market Share Prediction of Highway Passenger Transport Based on Exponential Smoothing Method

Highway transportation is an important part of our country traffic transportation system, taking on most of the capacity demand in passenger transport markets. But with the rapid development of domestic rail transportation technology, people's travel mode has gradually changed from highway transportation to rail transportation. This makes the highway passenger transport management department must consider the impact of the change of people's travel mode on the highway passenger transport market demand when making production plans. The market share of highway passenger transport is an important index to measure the development level of highway passenger transport, which can directly reflect the supply-demand relationship between highway passenger transport and passenger transport market. Therefore, this paper selects the market share of highway passenger transport as the prediction evaluation index, and predicts and analyzes the market share data of highway passenger transport in Henan Province from 2010 to 2021 based on the exponential smoothing method. It mainly calculates the single exponential smoothing results under several different smoothing coefficients by using the smoothing analysis tool in EXCEL, and determines the optimal smoothing coefficient by taking the minimum root mean square error (RMSE) as the criterion. Then, it solves the lag defect of the single exponential smoothing prediction results by using the quadratic exponential smoothing. Finally, the trend prediction model of highway passenger transport market share in Henan Province is obtained. The prediction results of this model can guide the rational allocation of highway transportation resources and the formulation of passenger transport production plan in Henan Province.

From the Editor and Chair of the Award Committee: 2022 Clemen–KleinmuntzDecision AnalysisBest Paper Award

From the Editor and Chair of the Award Committee: 2022 Clemen–Kleinmuntz<i>Decision Analysis</i>Best Paper Award

Energy saving and emission reduction effects from the application of green light optimized speed advisory on plug-in hybrid vehicle

Green Light Optimized Speed Advisory (GLOSA) is being rapidly extended worldwide as an innovative technology for intelligent transportation. However, the energy consumption, pollutant emissions and the corresponding driving behaviors changes for plug-in hybrid vehicle (PHEV) before and after applying GLOSA have not been adequately studied. Here, we quantitatively analyze for the first time the environmental and energy benefits of PHEVs after GLOSA application by combining acquired real-road driving cycles (DCs) and chassis dynamometer tests. We found that GLOSA significantly reduced the frequency of PHEV engine starts and throttle openings by reducing the number of stops and starts, the intensity of acceleration and the ratio of acceleration to idle time, and shifted more engine and motor operating points into the efficiency zone. The improved powertrain operating conditions significantly reduced the energy consumption and pollutant emissions of PHEV. GLOSA helps to reduce energy consumption by 23.50%, 26.01% and 27.94% when the initial state of charge (SOC) of the PHEV is 20%, 50% and 100% respectively. When the initial SOC of the PHEV is 20%, GLOSA contributed to a reduction in CO2, CO, total hydrocarbons (THC), NOx and particle number (PN) emissions of 17.37%, 22.58%, 36.07%, 30.39% and 16.38%. Our study aims to highlight the key role of GLOSA in reducing the pollutant emissions and energy consumption of PHEVs, while demonstrating that GLOSA is a valuable option for future transportation retrofitting.

Insights from adding transportation sector detail into an economy-wide model: The case of the ADAGE CGE model

Computable general equilibrium (CGE) models provide valuable insights into economy-wide impacts of anticipated future structural changes in the transportation sector, yet few CGE models offer detailed transportation representations. We use an enhanced Applied Dynamic Analysis of the Global Economy (ADAGE) CGE model to incorporate disaggregated transportation modes and technologies in on-road passenger and freight transportation. We assess the impacts of these inclusions on U.S. transportation patterns, energy consumption and greenhouse gas emissions. Simulating illustrative global oil price cases with and without transportation detail, we find subsector mode disaggregation and technology additions in a CGE model significantly alter the impacts of oil prices on global trade and freight patterns, energy consumption, and greenhouse gas (GHG) emissions. We find that: (1) alternative technologies are essential for capturing transportation sector impacts, (2) electrification may reduce emissions with electricity decarbonization, and (3) higher oil prices may hasten electrification.

Analysis of carbon emission reduction potential of construction industry in Liaoning Province based on system dynamics

The rapid increase in carbon emissions is one of the main causes of environmental degradation, and the construction industry contributes 40% of carbon emissions. This paper uses system dynamics to analyze the carbon emission reduction potential of construction enterprises in Liaoning Province in order to realize the national "dual carbon" goal as soon as possible. First, the factors affecting carbon emissions are summed up by combining the calculation formula of carbon emissions of buildings in the whole life cycle and related literatures. Then use the environmental characteristics of Liaoning Province to establish a carbon emission reduction model, carry out simulation simulation and validity test, and obtain the relationship between the influencing factors and carbon emission reduction. Finally, a scenario analysis is carried out in four aspects: energy technology, building materials production technology, transportation technology and waste recycling technology. A series of conclusions are drawn, such as building materials production technology and energy technology are the key aspects of implementing carbon emission reduction in the construction industry in Liaoning Province. The whole work provides a theoretical basis for Liaoning Province to successfully achieve the "14th Five-Year" goal, and then achieve carbon emission reduction and sustainable development.

Technologies of transportation: road, bridge and boat construction in colonial Punjab

The road and river transport have laid the foundations of human settlements since ancient times. After annexing Punjab in 1849, the British brought western technologies in road and river transportation for better movement of people and material for consolidation of their rule. The measures included building of roads, bridges and navigation through steam vessels. This paper gives a brief description of the technologies employed by the British in Colonial Punjab for construction of metalled roads, permanent and temporary bridges, native boats and introduction of steam vessels for river transportation. The technologies for road and bridge construction were western and modified as per local requirements. The best example of road construction was in the form of Grand Trunk road which traversed the region from Delhi to Peshawar. Permanent bridges were made using iron and masonry arched techniques. Steam vessels were brought to the rivers of Punjab after being constructed elsewhere. But owing to lack of depth in the rivers, the steam vessels did not succeed and were discontinued. Due to western technologies, the road and river transportation became quick and efficient and also generated employment, thereby impacting the local population.

A sustainable supply chain coordination model with an investment in green technology and electric equipment

ABSTRACT Statement of Removal Due to a technical issue, this article incorrectly published in the International Journal of Systems Science instead of the International Journal of Systems Science: Operations & Logistics. Therefore, this article has been removed from International Journal of Systems Science and republished in the International Journal of Systems Science:Operations & Logistics. The article is now available in the link: https://doi.org/10.1080/23302674.2023.2221078 Article title: A sustainable supply chain coordinationmodel with an investment in green technology and electricequipment Authors: I. D.Wangsa, I. Vanany & N. Siswanto Journal: International Journal of Systems Science Version of Record Published Online: 03 May 2023 DOI: http://doi.org/10.1080/00207721.2023.2208114

Design and Fabrication of a Large Area Ultrathin Vapor Chamber Based on Print-Wick-Structuring Technology

We explore a large area ultra-thin vapor chamber (UTVC) with special wick structures. At present, the thickness of the UTVC applied to mobile electronic devices is usually above 0.3 mm. In this paper, the UTVC with a thickness of 0.2 mm and an area of more than 5000 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> is designed and fabricated by the Print-Wick-Structuring (PWS) combo technology. We screen print several types of paste on the copper etched sheet to form the specific wick structures, which greatly influences the heat transfer performance. Thus, the limitation of the traditional copper mesh wick technology in two-phase flow transportation and circulation in a large area and ultra-narrow space is solved. The wick structures formed at the sintering temperature of 780 °C enable the working fluid to flow through a 60 mm path in 6 s. The test results show the UTVC can transfer a heat load of up to 5 W and the temperature difference between the evaporator and condenser can be controlled to 2.5 °C, so that the thermal resistance can reach 0.5 °C /W. In addition, the manufacturing process introduced in this paper makes the UTVC feasible for mass production.