IEEE Transactions on Intelligent Transportation Systems

Vehicle-Bicyclist Dynamic Position Extracted From Naturalistic Driving Videos

Pre-collision systems (PCS) are designed to warn a driver or brake automatically to help avoid or mitigate accidents, protecting vulnerable road users such as pedestrians and bicyclists. A PCS system needs to understand both normal and abnormal behavior ...

This paper describes the design, measurement methodology, and experimental validation of an electronic system for monitoring the electrical discontinuity in rails of double-track railway lines in order to detect the rail breakage. The electronic system ...

This paper investigates time reliability at bus stops. Although it is typically evaluated from the transit provider's viewpoint, it must also account for passengers, as required in recent service-quality norms. Hence, data on both bus arrival (or ...

This paper presents an online highly accurate system for automatic number plate recognition (ANPR) that can be used as a basis for many real-world ITS applications. The system is designed to deal with unclear vehicle plates, variations in weather and ...

Recognition of necessities of connected and automated vehicles (CAVs) is gaining momentum. CAVs can improve both transportation network efficiency and safety through control algorithms that can harmonically use all existing information to coordinate the ...

Metro systems play an important role in meeting the demand for urban transportation in large cities. The understanding of passenger route choice is critical for public transit management. The wide deployment of automated fare collection (AFC) systems ...

To mitigate traffic oscillations that usually sustainably propagate upstream, this paper proposes a jam-absorption driving (JAD) strategy in the framework of Newell's car-following theory. The basic idea of the JAD strategy is to guide a vehicle to move ...

In modern rail transport systems, balises are widely used to exchange track–train information via air-gap interface. In this paper, we first present the vulnerabilities on the standard balise air-gap interface, and then conduct vulnerability simulations ...

Automatic surveillance systems for the maritime domain are becoming more and more important due to a constant increase of naval traffic and to the simultaneous reduction of crews on decks. However, available technology still provides only a limited ...

Electric vehicles (EVs) require a well-developed charging infrastructure. Particularly when used for the daily commute, most EV drivers will rely on a nightly charge in their garage, for instance. In typical European urban residential areas, however, ...

We present the SnapNet system, which provides accurate real-time map matching for cellular-based trajectory traces. Such traces are characterized by input locations that are far from the actual road segment, errors on the order of kilometers, back-and-...

Accidents such as those caused by rollovers and sideslips in complex driving environments involving heavy-duty vehicles (HDVs) often have serious consequences. Such accidents can be due to many factors. In this paper, a probabilistic method for ...

In recent years, research on location-based services has received a lot of interest, in both industry and academia, due to a wide range of potential applications. Among them, one of the active topic areas is the constraint-based route planning on a ...

A radio map is a collection of signal fingerprints labeled with their collected locations. It is known that the performance of a fingerprint-based positioning systems is closely related to the precision and accuracy of the underlying radio maps. However,...

Unmanned aerial vehicles (UAVs) are gaining popularity in traffic monitoring due to their low cost, high flexibility, and wide view range. Traffic flow parameters such as speed, density, and volume extracted from UAV-based traffic videos are critical ...

For reliable driving assistance or automated driving, pedestrian detection must be robust and performed in real time. In pedestrian detection, a linear support vector machine (linSVM) is popularly used as a classifier but exhibits degraded performance ...

The majority of reported near-midair collisions that involve a general aviation aircraft occur in the vicinity of nontowered airports. A prior work has investigated the feasibility of creating an automated air traffic control system for these nontowered ...

This paper presents an effective nighttime vehicle detection system that combines a novel bioinspired image enhancement approach with a weighted feature fusion technique. Inspired by the retinal mechanism in natural visual processing, we develop a ...

This paper proposes a novel distance estimation method to build a forward collision avoidance assist system (FCAAS) containing techniques of lane marking detection, vehicle tracking, and distance estimation. First, a lane marking detection technique ...

We present a new approach to lightweight intelligent transportation systems. Our approach does not rely on traditional expensive infrastructures, but rather on advanced machine learning algorithms. It takes images from traffic cameras at a limited ...

Traffic sign recognition is a rather challenging task for intelligent transportation systems since signs in different subsets, e.g., speed limit signs, prohibition signs, and mandatory signs, are very different from each other in color or shape, whereas ...

Motion segmentation is an important task for intelligent transportation systems. In this paper, inspired by the fact that a feature point trajectory can be sparsely represented as a combination of several feature point trajectories that share coherent ...

The conventional mathematical models that are used for traffic distribution and traffic mode choice forecasts consider neither the individual heterogeneity on the micro level nor the changeable traffic scenes. This prompted us to propose a new forecast ...

Automotive imaging is a recent trend in research to assist drivers and is finally moving forward to achieve the goal of designing a driverless car. Along with a state-of-the-art algorithm, a state-of-the-art validation framework is also a requirement to ...

Vehicles today are equipped with control systems that improve their handling and stability. Knowledge of road bank angle and vehicle parameters is crucial for good behavior in this type of control. This paper develops a new method for estimating ...

Social networks contain a large amount of information on transportation, e.g., traffic accidents, congestions, and vehicles. Such information is the original ideas of people with respect to real-world transportation issues, and detecting communities on ...

This paper describes an integrated human–machine interactive bus transit scheduling system developed for the Beijing Public Transport Holdings (Group) Company, Ltd. (BPTG), one of the largest bus companies in the world. The system, which is based on a ...