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The rise of Internet of Things (IoT) and adoption of smart cities create opportunities for creative and efficient management and utilization of the available resources. One of the characteristics of smart cities is the interconnectivity of the city'...

Efforts in Europe for the deployment of Cooperative Intelligent Transport Systems (C-ITS) have seen a substantial increase in recent years, with various large-scale initiatives having been launched. For these systems two main communication methods are ...

[1] The current method of organizing traffic flows in urban networks, uses directional Right-of-Way links to move traffic between urban intersections. Conflict resolution between vehicles is almost exclusively exercised at the intersections, which turns ...

Person-based traffic signal timing optimization frameworks have recently been proposed to minimize total passenger delay at intersections. These traffic-responsive frameworks implicitly prioritize transit vehicles over cars due to their higher passenger ...

Delivering an accurate representation of the lane ahead of an autonomously driving vehicle is one of the key functionalities of a good ADAS perception system. This statement holds especially for driving on a highway. Functions such as lane keeping ...

Mobility-on-demand ridesharing services have transformed the transportation landscape by offering commuters the convenience of point-to-point transportation, while at the same time being more efficient than private vehicles. However, the benefits these ...

We consider the problem of optimally determining the sequence of electric and hybrid buses departing from a multi-line bus terminal, considering both service constraints (schedule adherence) and energy constraints (electric bus charging status, bus ...

In the micro-tolling paradigm, a centralized system manager sets different toll values for each link in a given traffic network with the objective of optimizing the system&#x0027;s performance. A recently proposed micro-tolling scheme, denoted <tex>$\...

Current automated driving systems assume drivers continuously monitor the vehicle. Meanwhile, fully automated vehicles aim at not requiring human intervention for their safely operation. The industry is currently debating how these novel systems can be ...

The safety validation of automated driving of SAE level 3 and higher (AD) is still an unsolved issue. In the validation process, criticality metrics can be used for two different purposes. First, for the identification of test scenarios from recorded data ...

This paper proposes a scalable traffic signal control algorithm that relies on information obtained from Connected Vehicles. The proposed framework utilizes a modified genetic algorithm to identify (near) optimal signal phase and timing plans that ...

The real-time railway traffic management problem (rtRTMP) aims to solve time-overlapping conflicting track requests due to traffic disturbances. The size of the problem and the time required to solve it are affected by the number of routing alternatives ...

The paper formulates the car-specific metro train crowding prediction problem based on real-time load data and evaluates the performance of several prediction methods (stepwise regression, lasso, and boosted tree ensembles). The problem is studied for ...

Subway systems of most metropolitan cities worldwide are suffering from the problem of overloaded passenger flow especially during rush-hour of weekday. To address it, passenger flow control strategy is widely adopted by developing subway system in order ...

This paper presents a new validation method for automated driving systems at road junctions. The method comprises the clustering of critical traffic scenarios at junctions as well as a simulation and evaluation framework to validate those scenarios. The ...

Modern ITS (Intelligent Transportation System) applications are becoming increasingly sophisticated and diverse, following the growing trends of connectivity and autonomous driving. For example, a vehicle can be equipped with advanced sensors (e.g., LIDAR,...

This paper presents a lane departure avoidance system which exploits differential torque delivered to the four wheels as actuation. The system is designed to avoid unsafe lane change due to drowsiness (unintentional maneuver) or inattention (intentional ...

We investigate a correct-by-construction synthesis of piecewise affine feedback controllers designed to satisfy the strict safety specifications set forth by the adaptive cruise control (ACC) problem. Our design methodology is based on the formulation of ...

Conventional lane change warning and automated lane changing systems detect other vehicles using on-board sensors such as camera, radar, and ultrasonic sensors. With the advent of Connected Vehicle (CV) technology, wireless communication (e.g, Dedicated ...

We propose a driver identification system that uses deep learning technology with controller area network (CAN) data obtained from a vehicle. The data are collected by sensors that are able to obtain the characteristics of drivers. A convolutional neural ...

Situation understanding and interpretation are one of the essential features for automated vehicles. To enable safe and comfortable driving, sensing the current situation is not sufficient, but accurately predicted trajectories of other traffic ...

Automated vehicles require a comprehensive understanding of the current traffic situation and their future evolution to perform safe and comfortable actions. To enable reliable long-term predictions of traffic participants the interaction among each other ...

The uneven utilisation of modes of transport has a big impact on traffic in transport pathway infrastrutures. For motor vehicles for instance, this situation explains rapid road deterioration and the large amounts of money invested in maintenance and ...

The use of sensor technology constantly gathering aircrafts&#x0027; status data has promoted the rapid development of data-driven solutions in aerospace engineering. These methods assist, for instance, with determining appropriate actions for aircraft ...

Vehicular network (VANET), a special type of ad-hoc network, provides communication infrastructure for vehicles and related parties, such as road side units (RSU). Secure communication concerns are becoming more prevalent with the increasing technology ...

Compute efficiency is an important consideration for traffic flow prediction models. Machine learning algorithms adjust model parameters automatically based on the data, but often require users to set additional parameters, known as hyperparameters. ...

Although a lot of labor and financial forces have been put into safety work, railway accidents continue to be the major concern in China. The aim of this study is to identify the significant factors contributing to railway accidents and enable ...

Fault detection in vehicles is currently carried out using model-based or rule-based approaches. Due to advances in automotive technology such as autonomous driving and further connectivity, the complexity of vehicles and their subsystems increases ...

It is crucial to predict the remaining useful life (RUL) of aircraft engines accurately and timely for the aircraft operation safety and appropriate maintenance decision. The key issue is how to efficiently mine the internal relation hiding in historical ...