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Smart cities have revolutionized urban living by incorporating sophisticated technologies to optimize various aspects of urban infrastructure, such as transportation systems. Effective traffic management is a crucial component of smart…

Data analysis and monitoring of road networks in terms of reliability and performance are valuable but hard to achieve, especially when the analytical information has to be available to decision makers on time. The gathering and analysis of…

Computers and Society · Computer Science 2018-06-18 Alejandro Vera-Baquero , Ricardo Colomo-Palacios

Although recent traffic benchmarks have advanced multimodal data analysis, they generally lack systematic evaluation aligned with official safety standards. To fill this gap, we introduce RoadSafe365, a large-scale vision-language benchmark…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Xinyu Liu , Darryl C. Jacob , Yuxin Liu , Xinsong Du , Muchao Ye , Bolei Zhou , Pan He

Road transportation is of critical importance for a nation, having profound effects in the economy, the health and life style of its people. With the growth of cities and populations come bigger demands for mobility and safety, creating new…

Machine Learning · Computer Science 2019-08-28 M. Ricardo Carlos

The capability afforded by Vehicle-to-Vehicle communication improves situational awareness and provides advantages for many of the traffic problems caused by reduced visibility or No-Line-of-Sight situations, being useful for both…

Systems and Control · Electrical Eng. & Systems 2023-06-02 Sukru Yaren Gelbal , Mustafa Ridvan Cantas , Bilin Aksun Guvenc , Levent Guvenc

Safety perception measurement has been a subject of interest in many cities of the world. This is due to its social relevance, and to its effect on some local economic activities. Even though people safety perception is a subjective topic,…

Computer Vision and Pattern Recognition · Computer Science 2019-02-20 Sergio Acosta , Jorge E. Camargo

With growing complexity and responsibility of automated driving functions in road traffic and growing scope of their operational design domains, there is increasing demand for covering significant parts of development, validation, and…

Research on lane change prediction has gained attention in the last few years. Most existing works in this area have been conducted in simulation environments or with pre-recorded datasets, these works often rely on simplified assumptions…

Artificial Intelligence · Computer Science 2025-09-25 Mohamed Manzour , Catherine M. Elias , Omar M. Shehata , Rubén Izquierdo , Miguel Ángel Sotelo

Cooperative intelligent transportation systems (ITS) are used by autonomous vehicles to communicate with surrounding autonomous vehicles and roadside units (RSU). Current C-ITS applications focus primarily on real-time information sharing,…

Robotics · Computer Science 2021-08-11 Mai Hirata , Manabu Tsukada , Keisuke Okumura , Yasumasa Tamura , Hideya Ochiai , Xavier Défago

This paper offers openly available microscopic vehicle trajectory (MVT) datasets collected using unmanned aerial vehicles (UAVs) in heterogeneous, area-based urban traffic conditions. Traditional roadside video collection often fails in…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Yawar Ali , K. Ramachandra Rao , Ashish Bhaskar , Niladri Chatterjee

Traffic evacuation plays a critical role in saving lives in devastating disasters such as hurricanes, wildfires, floods, earthquakes, etc. An ability to evaluate evacuation plans in advance for these rare events, including identifying…

Artificial Intelligence · Computer Science 2020-08-25 Yu Chen , S. Yusef Shafi , Yi-fan Chen

Shared spaces aim to reduce the dominance of motor vehicles by promoting pedestrian and cyclist activity and minimizing segregation between road users. Despite the intended scope to improve the safety of vulnerable road users, only few…

Modern automobiles have evolved from just being mechanical machines to having full-fledged electronics systems that enhance vehicle dynamics and driver experience. However, these complex hardware and software systems, if not properly…

Human-Computer Interaction · Computer Science 2020-11-25 Arpit Narechania , Ahsan Qamar , Alex Endert

Today, many cities seek to transition to more sustainable transportation systems. Cycling is critical in this transition for shorter trips, including first-and-last-mile links to transit. Yet, if individuals perceive cycling as unsafe, they…

Computer Vision and Pattern Recognition · Computer Science 2023-08-01 Miguel Costa , Manuel Marques , Felix Wilhelm Siebert , Carlos Lima Azevedo , Filipe Moura

Cities around the world are expanding dramatically, with urban population growth reaching nearly 2.5 billion people in urban areas and road traffic growth exceeding 1.2 billion cars by 2050. The economic contribution of the transport sector…

Computers and Society · Computer Science 2020-05-15 Zineb Mahrez , Essaid Sabir , Elarbi Badidi , Walid Saad , Mohamed Sadik

Tracking in urban street scenes plays a central role in autonomous systems such as self-driving cars. Most of the current vision-based tracking methods perform tracking in the image domain. Other approaches, eg based on LIDAR and radar,…

Computer Vision and Pattern Recognition · Computer Science 2018-09-21 Aljosa Osep , Wolfgang Mehner , Markus Mathias , Bastian Leibe

It's important to monitor road issues such as bumps and potholes to enhance safety and improve road conditions. Smartphones are equipped with various built-in sensors that offer a cost-effective and straightforward way to assess road…

The information era is the time when information is not only largely generated, but also vastly processed in order to extract and generated more information. The complex nature of modern living is represented by the various kind of data.…

Computers and Society · Computer Science 2015-08-12 Hokky Situngkir

This study addresses the challenge of urban safety in New York City by examining the relationship between the built environment and crime rates using machine learning and a comprehensive dataset of street view images. We aim to identify how…

Computer Vision and Pattern Recognition · Computer Science 2024-04-19 Zhixuan Qi , Huaiying Luo , Chen Chi

In the globalized economic world, it has become important to understand the purpose behind infrastructural and construction initiatives occurring within developing regions of the earth. This is critical when the financing for such projects…

Computer Vision and Pattern Recognition · Computer Science 2020-09-02 Kyle McCullough , Andrew Feng , Meida Chen , Ryan McAlinden