Journal of Traffic and Transportation Engineering 

About: Journal of Traffic and Transportation Engineering is an academic journal. The journal publishes majorly in the area(s): Poison control & Traffic flow. Over the lifetime, 1373 publications have been published receiving 7964 citations.

A review of road extraction from remote sensing images

Abstract: As a significant role for traffic management, city planning, road monitoring, GPS navigation and map updating, the technology of road extraction from a remote sensing (RS) image has been a hot research topic in recent years. In this paper, after analyzing different road features and road models, the road extraction methods were classified into the classification-based methods, knowledge-based methods, mathematical morphology, active contour model, and dynamic programming. Firstly, the road features, road model, existing difficulties and interference factors for road extraction were analyzed. Secondly, the principle of road extraction, the advantages and disadvantages of various methods and research achievements were briefly highlighted. Then, the comparisons of the different road extraction algorithms were performed, including road features, test samples and shortcomings. Finally, the research results in recent years were summarized emphatically. It is obvious that only using one kind of road features is hard to get an excellent extraction effect. Hence, in order to get good results, the road extraction should combine multiple methods according to the real applications. In the future, how to realize the complete road extraction from a RS image is still an essential but challenging and important research topic.

Recent advances in connected and automated vehicles

Abstract: Connected and automated vehicle (CAV) is a transformative technology that has great potential to change our daily life. Therefore, CAV related research has been advanced significantly in recent years. This paper does a comprehensive review on five selected subjects that lie in the heart of CAV research: (i) inter-CAV communications; (ii) security of CAVs; (iii) intersection control for CAVs; (iv) collision-free navigation of CAVs; and (v) pedestrian detection and protection. It is believed that these topics are essential to ensure the success of CAVs and need to be better understood. For inter-CAV communications, this paper focuses on both Dedicated Short Range Communications (DSRC) and the future 5G cellular technologies; for security of CAVs, this paper discusses both passive and active attacks and the existing solutions; for intersection control, this paper summarizes the pros and cons of both centralized and decentralized approaches; for collision avoidance, this paper concentrates on four subareas: maneuverability, vehicle networking, control confliction, and motorcycles; for pedestrian detection, this paper covers sensor, radar, and computer vision based approaches. Under each topic, this paper not only shows the state-of-the-art, but also unveils potential future research directions. By establishing connections among these subjects, this paper shows how they interact with each other and how they can be integrated into a seamless user experience. It is believed that the literature covered and conclusions drawn in this paper are very helpful to CAV researchers, application engineers, and policy makers.

Advances in geopolymer materials: A comprehensive review

Abstract: Geopolymer is a new environment-friendly cementitious material, and the development of geopolymer can reduce the carbon dioxide emission caused by the development of cement industry. Geopolymer materials not only have excellent mechanical properties, but also have a series of excellent properties such as fire resistance and corrosion resistance. Most industrial solid waste and waste incineration bottom ash are piled up at will, which not only occupies land resources, but also has a bad impact on the environment. Recycling them can be used as raw materials for preparing geopolymers. Geopolymer materials can effectively adsorb heavy metals, dyes, and other radioactive pollution, which is very beneficial to society's future development. However, due to the excellent properties of geopolymer materials, its application goes beyond that. Some useful information about geopolymer materials was introduced in this paper. The paper included the geopolymerization, the source of raw materials, the types of activators, the preparation methods, and the different application fields of geopolymer materials. The factors affecting the fresh properties and mechanical properties of geopolymer materials were discussed. In this paper, the shortcomings and application limitations of geopolymer materials were summarized, and their progress was summarized to lay a theoretical foundation for the long-term development of geopolymer materials.

Smart mobility and public transport: opportunities and challenges in rural and urban areas

Abstract: Demographic changes in peripheral areas are pressuring the regional public transport systems to adopt innovative strategies. The employment of internet of things (IoT) technologies has proven to be a valid response to mobility challenges in rural areas, and has brought up the concept of “smart land”. Framed within the context of the Interreg Central Europe project RUMOBIL, this study tries to shed light on how the deployment of smart mobility solutions within the rural context compare to that within the urban context. Following a literature review, we compared the ease of implementation of different IoT solutions on the urban and the rural contexts, for planners, travellers, and operators, and the relative complexity of common smart mobility issues. In addition, we identified three major challenges for both rural and urban mobility, namely the need for standardized metrics for optimal routes' detection and a dynamic definition of optimal route, as well as the simplification of investments' planning and programming. Both smart cities and smart land can benefit from smart mobility solutions, even if in most cases, each of the two contexts can gain more advantages than the other from the same solution. Even considering the different levels of population scattering, technological infrastructures, social maturity, and economic opportunities, both rural and urban areas offer comparable advantages. For the future of transport, it is up to all policy levels to consider the challenges deriving from expected trends and leverage the untapped potential of IoT technologies to satisfy future travellers’ needs and ensure sustainability.

Prediction of pavement roughness using a hybrid gene expression programming-neural network technique

Abstract: Effective prediction of pavement performance is essential for transportation agencies to appropriately strategize maintenance, rehabilitation, and reconstruction of roads. One of the primary performance indicators is the international roughness index (IRI) which represents the pavement roughness. Correlating the pavement roughness to other performance measures has been under continuous development in the past decade. However, the drawback of existing correlations is that most of them are not practical yet reliable for prediction of roughness. In this study a novel approach was developed to predict the IRI, utilizing two data sets extracted from long term pavement performance (LTPP) database. The proposed methodology included the application of a hybrid technique which combines the gene expression programming (GEP) and artificial neural network (ANN). The developed algorithm showed reasonable performance for prediction of IRI using traffic parameters and structural properties of pavement. Furthermore, estimation of present IRI from historical data was evaluated through another set of LTPP data. The second prediction model also depicted a reasonable performance power. Further extension of the proposed models including different pavement types, traffic and environmental conditions would be desirable in future studies.