IEEE Transactions on Intelligent Transportation Systems

An Overview of Battery Based Electric Vehicle Technologies With Emphasis on Energy Sources, Their Configuration Topologies and Management Strategies

Vehicle emission is a major cause of pollution leading to life threatening diseases. With rising concern towards healthy living and clean environment, the demand to replace internal combustion engine vehicles is gathering momentum. Hence, currently the ...

Automated driving systems (ADSs) aim to improve the safety, efficiency and comfort of future vehicles. To achieve this, ADSs use sensors to collect raw data from their environment. This data is then processed by a perception subsystem to create semantic ...

As the use of combustion engine vehicles plays a deciding role in global warming, we can observe a trend to replace them with electric vehicles (EV) driven by new environmentally conscious policies and increasing technological capabilities. With ...

With the development of society, technological progress, and new needs, autonomous driving has become a trendy topic in smart cities. Due to technological limitations, autonomous driving is used mainly in limited and low-speed scenarios such as logistics ...

In maritime traffic surveillance, detecting illegal activities, such as illegal fishing or transshipment of illicit products is a crucial task of the coastal administration. In the open sea, one has to rely on Automatic Identification System (AIS) message ...

Real-time detection of oncoming vehicle maneuvers at intersections is essential for connected autonomous vehicles (CAVs) to plan safe paths and driving strategies. Most existing methods use supervised learning methods to construct behavior detection ...

Obstacle avoidance is a fundamental operation for automated driving and its formulation traditionally originates from robotics and decision making control fields. Given the high complexity required to compute an obstacle-free trajectory, this operation is ...

One of the challenges in Connected and Autonomous Vehicles (CAVs) and Vehicular Ad Hoc Networks (VANETs) is jamming attacks. These attacks present safety concerns and may render the whole communication network ineffective. Designing an anti-jamming ...

Pedestrian and evacuation dynamics provide valuable insights into the understanding of human collective motion and have important implications for architectural design, safety management, and transportation science. In social and biological systems, the ...

Each freeway stretch’s traffic states are indispensable in freeway traffic modeling, surveillance, and control. However, the unmeasured ramp pairs always exist in real-world freeway systems, and how to estimate the flows of those ramps is a ...

Vehicle re-identification (ReID) is the task of identifying the same vehicle across numerous cameras. This is a complex classification task, and the fine-grained information and strong discrimination features have proven to be effective in handling the re-...

Semantic segmentation (SS) aims to classify each pixel into one of the pre-defined classes. This task plays an important role in self-driving cars and autonomous drones. In SS, many works have shown that most misclassified pixels are commonly near object ...

Long-term visual place recognition (VPR) has recently become a popular research topic in the field of autonomous driving. In urban scenarios, variations in scene appearance due to the change in seasons and illumination bring great challenges for scene ...

In this paper, a driving style recognition method based on self-supervised contrastive learning was developed. Traditional machine learning models cannot directly accept time series data of variables as inputs, and therefore, artificially constructed ...

Global navigation satellite system (GNSS) signals cannot be received indoors, thus to deploy intelligent vehicles in underground car parks other localization methods are needed. In this paper, we use various carpark signs that are widely and uniformly ...

Safety, privacy, efficiency and cybersecurity (SPEC) properties are mandatory in vehicular networks. Owing to intrinsic limitations, the V2X framework and related communicating autonomous vehicles are inadequate. We explore the CMX framework (Coordinated ...

This paper proposes a novel task-consistency learning method that enables us to train a vacant space detection network (target task) based on the logic consistency with the semantic outcomes from a flow-based motion behavior classifier (source task) in a ...

The way in which autonomous transport will be adopted is likely to determine the net social benefits delivered by the technology and the sustainability of the transport system. Autonomous vehicles (AVs) will change travel behavior due to reduction in the ...

In order to make the optimization of evacuation efficient enough for application, a Matrix Translation Model (MTM) has been developed. In MTM, a building is represented by using a network and the matrices attached to the network, and the crowd movement is ...

Variable Speed Limit (VSL) is a commonly applied active traffic management measure for urban motorways. In recent years, model-based and model-free approaches have been extensively adopted to solve VSL optimization problems. However, the success of model-...

Pedestrian crossing intention prediction could effectively prevent traffic injuries and improve pedestrian safety. This paper focuses on pedestrian crossing intention prediction from surveillance cameras, which could provide over-the-horizon safety ...

Transportation contributes a substantial fraction of all greenhouse gas emissions. One approach for reducing such emissions is to modify vehicles’ route choices to minimize their fuel consumption or emission, which is known as eco-routing. Most eco-...

Understanding human mobility has become a greater demand in recent years. Among them, how to extract people’s travel trajectories and reconstruct them accurately is crucial to explain people’s mobility. Due to its spatio-temporal uncertainty ...

Emerging technologies of connected and automated vehicles (CAVs) applied at intersections have great potential to improve traffic efficiency, driving safety, and fuel economy. This paper proposes a virtual spring strategy for coordinating CAVs to pass ...

Connected and automated vehicle (CAV) platooning exhibits significant potential in enhancing traffic efficiency and sustainability. In unsteady traffic conditions, CAV platoons frequently require splitting and merging maneuvers to avoid obstacles. This ...

A time-space (TS) traffic diagram, which presents traffic states in time-space cells with color, is an important traffic analysis and visualization tool. Despite its importance for transportation research and engineering, most TS diagrams that have ...

This paper presents an efficient and accurate range-aided visual-inertial odometry (RVIO) system for the global positioning system denied environment. In particular, the ultra-wideband (UWB) measurements are integrated to reduce the long-term drift of the ...

In this paper, we investigate a mixed-traffic control problem considering uncertainties of HDVs flow. The challenges mainly lie in modeling the stochastic characteristics of mixed-traffic flow and developing less-conservative algorithm to deal with the ...

The connected environment provides information on surrounding traffic and areas beyond the visual range traffic to improve driving behavior and avoid dangerous incidents. However, due to the novelty of the connected environment, there is a lack of studies ...