145 hasil
Menampilkan 1–20 · 0,18 detik · RSS
Journal of Intelligent and Connected Vehicles
Scopus
ISSN 2399-9802 · Tsinghua University Press · 145 artikel di indeks
-
Artikel Jurnal
World model-based long-tail and scenario-specific generation for autonomous driving
Safety is the most critical problem in autonomous driving (AD). Crashes often occur in long-tail scenarios, which are neither frequent nor representative of normal driving conditions. Many severe failures are not caused by a single error but by the accumulation of coupled behaviors and/or…
-
Artikel Jurnal
Digital twin for urban car traffic emission: A case study in Kista, Stockholm
The commitment to decarbonization is motivating urban planners to adopt emerging techniques that advance sustainability. Road traffic emissions remain a major source of greenhouse gases and pollutants, requiring precise, near-real-time monitoring for effective mitigation policies. This study…
-
Artikel Jurnal
Ego vehicle trajectory prediction based on driver-vehicle coupling characteristics in diverse urban scenarios
For human‒machine co-driving vehicles, the dynamic complexity of urban scenarios and the uncertainty of driving behavior impose stringent demands on the accuracy and generalization capability of ego vehicle trajectory prediction. Current research predominantly relies on multivehicle interaction…
-
Artikel Jurnal
Multisource human-in-the-loop digital twin testbed for connected and autonomous vehicles in mixed traffic flow
In emerging mixed traffic environments, connected and autonomous vehicles (CAVs) must interact with surrounding human-driven vehicles (HDVs). This study introduces multisource human-in-the-loop mixed cloud control testbed (MSH-MCCT), a novel CAV testbed that captures complex interactions between…
-
Artikel Jurnal
Prior-knowledge-guided model-based reinforcement learning for integrated longitudinal-lateral control of vehicular platoons
To address the complexity of longitudinal-lateral vehicle dynamics in platoon control and the challenge of mitigating traffic oscillations, a novel model-based reinforcement learning (MBRL) method with planning capability is proposed for longitudinal-lateral control of vehicle platoons…
-
Artikel Jurnal
Speed control with curve braking simulation of autonomous vehicles based on a vehicle-tire-ice coupling mechanism
Promoting autonomous vehicles (AVs) requires ensuring that vehicles can safely and smoothly pass through various ice-covered complex road conditions. Theoretical modeling and simulation tests on the curve braking control of AVs based on the vehicle-ice-road coupling mechanism are conducted. This…
-
Artikel Jurnal
3D LiDAR and image data-level fusion for traffic vehicle detection
Vehicle detection is a crucial part of perception technologies for unmanned vehicles, which provides perceptive guarantees for route plans and vehicle control. Current multimodal fusion approaches for image and light detection and ranging (LiDAR) data primarily include feature-level fusion…
-
Artikel Jurnal
Rise of artificial intelligence in the Chinese automotive industry
The integration of artificial intelligence (AI) in the Chinese automotive industry has led to unprecedented growth and innovation, particularly in electric vehicles and autonomous driving technologies. This study examines the impact of AI on China’s automotive sector, analyzing key players…
-
Artikel Jurnal
Examining driving behaviors and trust in an in-vehicle warning system under uncertainty: A roundabout study
Advanced driver assistance systems (ADASs) can greatly enhance road safety by providing real-time warnings to drivers in imminent crash situations. However, the provided warning time may deviate from its designed time. There is limited research on how warning uncertainties influence drivers’…
-
Artikel Jurnal
Humanoid cognition-based approach: Lane-changing decision making and dynamic trajectory planning for autonomous driving
Autonomous lane-changing decision making and planning represent a fundamental aspect of advanced driving technologies, playing a pivotal role in improving operational safety, enhancing passenger comfort, and optimizing traffic flow. Current research predominantly emphasizes environmental perception…
-
Artikel Jurnal
Enhancing AVM-based parking-slot detection with synthetic data
Parking-slot detection is pivotal for autonomous driving, facilitating automated parking and enhancing vehicle safety. However, the diversity of parking slot shapes and the complexity of surrounding environments incur significant costs in data collection and annotation. To address this challenge…
-
Artikel Jurnal
What patterns contribute to autonomous vehicle crashes? A study of Level 2 and 4 automation via association rule analysis
With increasing autonomous vehicle (AV) penetration, understanding the factors contributing to AV crashes is crucial for addressing ongoing road safety challenges. This study aims to reveal the effects of vehicle characteristics, road conditions, environmental factors, and precrash movements on the…
-
Artikel Jurnal
A diversified tour-driven deep reinforcement learning approach to routing for intelligent and connected vehicles
The routing problem for intelligent and connected vehicles has garnered significant attention because of its profound theoretical implications and wide-ranging practical applications. Despite advancements, existing learning-based methods often rely on training one single policy, which inadequately…
-
Artikel Jurnal
Safety-critical scenario test for intelligent vehicles via hybrid participation of natural and adversarial agents
The intensity levels of autonomous vehicles should be thoroughly evaluated before deployment, while vehicle tests are difficult for the sake of heavy experimental resources and large numbers of cases, especially tests that include safety-critical scenarios. In this study, a new scenario generation…
-
Artikel Jurnal
Young urban dwellers’ acceptance of autonomous vehicle-induced landscape changes: An eye-tracking study
Using an autonomous vehicle fleet instead of owning a car might significantly reduce the number of vehicles in cities, which may have important consequences related to land use and the urban landscape. More information is available about these possibilities; at the same time, much less is known…
-
Artikel Jurnal
Evaluating the sustainability of electric buses during operation via field data
Environmental sustainability is a crucial issue for all human beings, and vehicle emissions significantly contribute to climate change. This has prompted many countries, including China, Norway, and Germany, to focus on electrifying transportation. This study quantifies the life cycle carbon…
-
Artikel Jurnal
Automatic labeling and qualification of functional scenarios on the basis of sparse field observations
At the dawn of the deployment of connected and automated vehicles (CAVs) on our roads, assessing the safety of new systems is crucial. Given the overwhelming number of situations to test, focusing efforts on the most relevant ones for the system is essential. Qualifying scenarios with respect to…
-
Artikel Jurnal
GRU-LSTM model based on the SSA for short-term traffic flow prediction
The transportation department relies on accurate traffic forecasting for effective decision-making. However, determining relevant parameters for existing traffic flow prediction models poses challenges. To address this issue, this study proposes a hybrid model, sparrow search algorithm-gated…
-
Artikel Jurnal
APM-SLAM: Visual localization for fixed routes with tightly coupled a priori map
Localization along fixed routes is the fundamental function of transportation applications, including patrol vehicles, shuttles, buses, and even passenger vehicles. To achieve accurate and reliable localization, we propose a tightly coupled A Priori Map Simultaneous Localization and Mapping…