Impacts of Different Driving Automation Levels on Highway Geometric Design from the Perspective of Trucks by Shuyi Wang, Bin Yu, Yang Ma, Jinzhou Liu, Wen Zhou

“…Despite these benefits, the potential negative or positive effects of different driving automation levels (from no automation to full automation) on highway geometry remained to be determined. …”
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Design and Prototype of an Automatic Highway Streetlight Intensity Control System. by Wafula, Moses

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Automatic Segmentation of Asphalt Cracks on Highways After Large-Scale and Severe Earthquakes Using Deep Learning-Based Approaches by Mehmet Yilmaz, Erkut Yalcin, Fatih Demir, Ahmet Munir Ozdemir, Muhammed Atar, Aysegul Gunes, Beyza Furtana Yalcin, Ertugrul Cambay

“…This study develops a deep learning-based automated system for detecting and segmenting earthquake-induced asphalt cracks, offering a rapid and reliable solution for post-disaster road condition assessments. …”
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New Generation of Smart Highway: Framework and Insights by Chenglong Liu, Yuchuan Du, Yiheng Ge, Difei Wu, Cong Zhao, Yishun Li

“…Different combinations of NGSH level and vehicle automation level lead to distinct system functions. …”
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Research on Mandatory Lane-Changing Behavior in Highway Weaving Sections by Wei Hao, Zhaolei Zhang, Zhibo Gao, Kefu Yi, Li Liu, Jie Wang

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Analysis of algorithms for detecting traffic incidents on highways using stationary vehicle detectors by D. V. Navoi, D. V. Kapski, N. A. Filippova, I. N. Pugachev

“…Based on functional characteristics, incident detection algorithms are divided into algorithms for highways and algorithms for street networks. Based on data acquisition methods, incident detection algorithms are divided into three groups: algorithms using data from stationary vehicle detectors (inductive loops, radars, video cameras, etc.); algorithms using mobile sensors (Bluetooth, wi-fi RFID, GPS, Glonass sensors, toll system transponders, etc.). algorithms that use information from drivers (GSM communications, navigation services, Internet applications, etc.). …”
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Weigh-in-Motion Method Based on Modular Sensor System and Axle Recognition with Neural Networks by Xiaoyong Liu, Zhiyong Yang, Bowen Shi

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Autonomous Real-Time Speed-Limit Violation Detection and Reporting Systems Based on the Internet of Vehicles (IoV) by Samir A. Elsagheer Mohamed, Mohammad T. Parvez, Khaled A. AlShalfan, Mahmoud Y. Alaidy, Mohammed A. Al-Hagery, Mohamed T. Ben Othman

“…Additionally, unlike the existing systems installed in specific locations, all roads in the smart cities and highways will be fully monitored. …”
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ANTi-JAM solutions for smart roads: Ant-inspired traffic flow rules under CAVs environment by Marco Guerrieri, Nicola Pugno

“…Emerging technologies, including smart roads, communication systems, and Cooperative and Automated Vehicles (CAVs), allow us to speculate on the use of traffic control systems inspired by ant behaviour to avoid the risk of congestion even at high traffic volumes, as demonstrated by the preliminary results of this research.…”
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