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Analysis and prospects of container and rail transport [PDF]

MATEC Web of Conferences, 2020
The article studies the main trends in the market of container transportation in rolling stock of various types, considers the process of transporting large-capacity containers in open wagons.
Vakulenko Sergey, Kurenkov Pyotr, Romensky Dmitry, Kalinin Kirill, Gašparík Jozef   +4 more
doaj   +1 more source

A review of reinforcement learning applications in adaptive traffic signal control

IET Intelligent Transport Systems, 2022
In urban areas, the problem of recurring daily congestion is constantly increasing. A possible solution is seen in the application of adaptive traffic signal control (ATSC) systems for the control of signalized intersections. While available ATSC systems
Mladen Miletić, Edouard Ivanjko, Martin Gregurić, Krešimir Kušić   +3 more
doaj   +1 more source

Influence of floating car data quality on congestion identification

European Journal of Transport and Infrastructure Research, 2020
This paper explores the usability of floating car data (FCD) of mixed quality in congestion analysis on motorways. The specific data quality aspects that we are investigating are the number and density of trajectories, the GPS interval, and the fleet ...
Wolfgang Blumthaler, Bartosz Bursa, Markus Mailer   +2 more
doaj   +1 more source

3D Object Detection for Self-Driving Cars Using Video and LiDAR: An Ablation Study

Sensors, 2023
Methods based on 64-beam LiDAR can provide very precise 3D object detection. However, highly accurate LiDAR sensors are extremely costly: a 64-beam model can cost approximately USD 75,000. We previously proposed SLS–Fusion (sparse LiDAR and stereo fusion)
Pascal Housam Salmane, Josué Manuel Rivera Velázquez, Louahdi Khoudour, Nguyen Anh Minh Mai, Pierre Duthon, Alain Crouzil, Guillaume Saint Pierre, Sergio A. Velastin   +7 more
doaj   +1 more source

Intelligent Transportation System

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: People have experienced frequent communication and information exchange in recent years as a result of the proliferation of mobile devices. For example, when people go on vacations, it is common for each person to bring a smart phone with them to get information about nearby attractions.
Ms. Bhumika Vasant Satpute, Ms. Dhanlaxmi Balavant Don, Ms. Rakhi Ajaykumar Salave, Ms. Abrar Zameer Shaikh, Prof. Akash. K. Gunjal   +4 more
openaire   +1 more source

Analysis of Thermal Imaging Performance under Extreme Foggy Conditions: Applications to Autonomous Driving

Journal of Imaging, 2022
Object detection is recognized as one of the most critical research areas for the perception of self-driving cars. Current vision systems combine visible imaging, LIDAR, and/or RADAR technology, allowing perception of the vehicle’s surroundings. However,
Josué Manuel Rivera Velázquez, Louahdi Khoudour, Guillaume Saint Pierre, Pierre Duthon, Sébastien Liandrat, Frédéric Bernardin, Sharon Fiss, Igor Ivanov, Raz Peleg   +8 more
doaj   +1 more source

Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel Level

Land, 2022
The interactive relationship between transportation and land use has become more difficult to understand and predict, due to the economic boom and corresponding fast-paced proliferation of private transportation and land-development activities. A lack of
Yunes Almansoub, Ming Zhong, Asif Raza, Muhammad Safdar, Abdelghani Dahou, Mohammed A. A. Al-qaness   +5 more
doaj   +1 more source

RS-Lane: A Robust Lane Detection Method Based on ResNeSt and Self-Attention Distillation for Challenging Traffic Situations

Journal of Advanced Transportation, 2021
Lane detection plays an essential part in advanced driver-assistance systems and autonomous driving systems. However, lane detection is affected by many factors such as some challenging traffic situations. Multilane detection is also very important.
Ronghui Zhang, Yueying Wu, Wanting Gou, Junzhou Chen   +3 more
doaj   +1 more source

SWEET: A Realistic Multiwavelength 3D Simulator for Automotive Perceptive Sensors in Foggy Conditions

Journal of Imaging, 2023
Improving the reliability of automotive perceptive sensors in degraded weather conditions, including fog, is an important issue for road safety and the development of automated driving.
Amine Ben-Daoued, Pierre Duthon, Frédéric Bernardin   +2 more
doaj   +1 more source

Risk management in the organization of delivery of construction materials [PDF]

MATEC Web of Conferences, 2020
In the article, the authors consider the problem of identifying and assessing the risks that arise when organizing the delivery of construction goods using the example of one of the main materials - concrete mixture for transport and civil construction ...
Misanova Irina, Tarasov Dmitrij, Safronova Anastasia, Astafiev Alexey, Świekatowsky Ryszard   +4 more
doaj   +1 more source