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International Journal of Transportation Science and Technology
Scopus
ISSN 2046-0430 · KeAi Communications Co., Ltd. · 610 artikel di indeks
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Artikel Jurnal
Characterization of binder and asphalt mixture modified with waste toner
Incorporating waste materials as additives in road and highway construction offers significant economic and environmental advantages. This study utilizes waste toner (WT) as an additive in binder and asphalt mixture at varying percentages (0%, 5%, 10%, 15%, 20%) of the binder’s volume. Standard…
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Selecting and optimizing distress feature descriptors from multi-source images for pavement distress classification
Accurate and efficient early detection of pavement distress is crucial, as it prevents further deterioration, reduces repair costs, and enhances driving safety by mitigating hazards like potholes and cracks. However, automatically detecting pavement distress from image samples remains challenging…
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Enhancing the abrasion resistance of cement concrete pavement through in-situ precipitation of hydroxyapatite
This study introduces a bio-inspired approach aimed at improving the abrasion resistance of Portland cement concrete (PCC) pavements. The method involves the in-situ precipitation of hydroxyapatite (HAP), the hardest mineral in the human body, on the concrete surface through repeated treatments…
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A robust deep learning-based system for pedestrian-aware collision prevention in autonomous vehicles
Pedestrian collisions remain a critical concern in road safety research due to pedestrians’ heightened vulnerability and the substantial impacts on road networks and public healthcare systems. These incidents often lead to significant traffic disruptions, emphasizing the importance of…
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Socially responsible pay for priority traffic control system for e-commerce delivery vehicles
This research proposes a socially responsible pay-for-priority traffic control system for e-commerce delivery vehicles (EDVs). The system aims to maximize revenue collection while preserving existing traffic conditions through two key components: 1) an annual base fee paid by EDVs for road usage…
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Erosion-enhanced rain optimization algorithm for efficient blood bag transport in multimodal healthcare logistics
The erosion-enhanced rain optimization algorithm (ROA) is introduced as an advanced framework to address pressing challenges in multimodal healthcare logistics, focusing on the efficient and timely delivery of critical supplies such as blood bags. This study integrates dynamic erosion penalties and…
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Intelligent vehicle routing for stochastic service times: a grouping evolution strategy approach
After-sales service companies often need to transport and distribute their products, as well as provide services like installation and setup. In this paper, we study a vehicle routing problem (VRP) that considers the possibility of on-site servicing by installers, with stochastic service times. We…
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Who took my right-of-way? Human decision-driven modeling of bus lane mixed flow under roadside access interference
To simulate the traffic operation status of bus lanes with limited road conditions and numerous roadside access points, a cellular automata (CA) model is established to represent mixed traffic flow involving buses and social vehicles influenced by these roadside access points. First, lane change…
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Artikel Jurnal
HCT-LSTM: integrating habit, current situation, and tendency for driving safety state prediction in adverse weather conditions
A model known as habit + current situation + tendency (HCT) has been developed for evaluating driving conduct, with the consideration of the diversity among drivers and the persistent characteristics of driving behaviors under inclement weather conditions. The long short-term memory (LSTM) networks…
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Adaptive federated learning framework for predicting EV charging stations occupancy
Forecasting the occupancy of electric vehicle (EV) charging stations is crucial for addressing key challenges in e-mobility, including charging inefficiency, traffic congestion, and drivers’ difficulty in locating available stations. Recent studies on predicting charging station occupancy have…
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Investigating safety implications of median U-turn (MUT) intersections based on dilemma zone and critical gap analysis
Median U-turn (MUT) intersections present a distinctive configuration where certain vehicular movements, such as right-turns and crossings from the primary road or secondary crossroads, are achieved through indirect, downstream U-turn maneuvers. The U-turning maneuver is governed by the gap…
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The cooperative inspection routing problem for urban environmental management
Urban environmental management against air pollution is of critical importance to public health. Despite the proliferation of ubiquitous air quality sensors and advancement of information systems, an integral part of urban environmental management in China involves routine inspections of pollution…
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COM-Roundabout: the first smart commutable and self-regulating roundabout for HDVs and CAVs
In the last decades, many new types of roundabouts and traffic regulation systems have been introduced in several countries. However, some issues related to their performance and safety remain. This article presents a new concept of self-regulating smart roundabout recently ideated: the commutable…
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Optimized deep learning for pedestrian safety in autonomous vehicles
This study focuses on enhancing pedestrian detection for autonomous driving and intelligent surveillance systems, where challenges like complex backgrounds, obstructions, and small target sizes can hinder accuracy. The researchers optimized the YOLOv8 model by redesigning its neck structure using…
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Understanding the influence of affective and restorative potential of built environments on intention and walking behavior
The increase in motor trips and the decrease in physical activity lead to obesity, which has become the main concern of many societies. Promoting walking on school trips can provide an inclusive opportunity to increase physical activity and, therefore, the benefits of walking in a community…
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The impact of electric vehicles’ strong acceleration performance on traffic safety risks at signalized intersections: a case study in China
Electrification has become a major trend in the automotive industry. Compared with traditional fuel-powered vehicles, electric vehicles (EVs) exhibit stronger acceleration performance, which may impact traffic safety risks. The pronounced acceleration capability of EVs is particularly evident at…
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Electric vehicles vs. internal combustion engine vehicles: a comparative study of crashes involving vulnerable road users
Powered by electric engines, electric vehicles (EVs) exhibit unique dynamic characteristics that may lead to different crash characteristics and outcomes compared with traditional internal combustion engine vehicles (ICEVs). This might be particularly true for vulnerable road users (VRUs), such as…
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Intermediate-temperature cracking performance evaluation of asphalt mixtures
This study examines the influence of specimen thickness and air void content on asphalt cracking performance using the multi-stage semi-circular bending dynamic (MSSD) test and the indirect tensile asphalt cracking test (IDEAL-CT). Results indicate that MSSD slope and intercept indicators were…
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Exploring time allocation patterns for daily activities through a discrete choice modeling approach
This study examines human daily mobility patterns by analyzing activity duration choices through discrete choice models, offering insights into travel behaviors across diverse geographic and cultural contexts in the U.S. Using data from the 2023 American Time Use Survey (ATUS), we assessed activity…
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Enhancing autonomous vehicle safety: an integrated ensemble learning-logit model for accident severity prediction and analysis
As automated driving technology advances rapidly, ensuring its safety has become a crucial area of research and practice. This study presents an integrated ensemble learning-logit model (IELLM) designed to enhance the precision in predicting the severity of accidents involving automated vehicles…