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Worldwide statistics show that air traffic has been growing significantly in recent years. In order to maintain safety, new technologies and architectures are constantly being proposed and deployed. However, several of those technologies contain design flaws and security vulnerabilities which, if properly exploited, can affect the Air Traffic Control (ATC) system in such a way that its effects could...
In this paper, we leverage previous work on securing Automatic Dependent Surveillance Broadcast (ADS-B) to propose a secure ADS-B framework that substantially enhances the original safety and security solutions. The enhancements are obtained by feeding real flight data along with malicious data at the secure ADS-B sender and observing the outcome at the secure ADS-B receiver that we developed as part...
There is a converging interest of society, academia, and industry about intelligent vehicles. Meanwhile, it is necessary to consider some legal aspects that could help these vehicles to arrive safely on public roads. The difficulty lies in the fact that a complex cybernetic system will replace a human-driver in a complete or partial manner, depending on the level of the delegation to the machine....
Train Location Unit plays a crucial role in train control system, whose reliability is directly related to the safe operation of trains. There are many train positioning methods in public mainly relates to GPS/ Odometer(ODO), which is the direction of the actual demand. In this paper, a fault diagnosis method based on improved HMM(Hidden Markov Model) is studied which the genetic algorithm(GA) is...
This paper investigates an integrated production inventory routing problem with time windows where a central depot is responsible for supplying single type of perishable food to multiple retailers within the planned time horizon. A mixed integer linear programming (MILP) model aiming at maximizing the total profit is formulated with explicitly tracing the food quality. To strengthen the formulation,...
Blockchain, widely known as one of the disruptive technologies emerged in recent years, is experiencing rapid development and has the full potential of revolutionizing the increasingly centralized intelligent transportation systems (ITS) in applications. Blockchain can be utilized to establish a secured, trusted and decentralized autonomous ITS ecosystem, creating better usage of the legacy ITS infrastructure...
In most of the traffic safety studies, both the identification of high-risk locations and the assessment of safety improvement solutions are done through the use of historical crash data. This study proposes an alternative approach that makes use of traffic conflicts extracted from traffic video recordings for safety assessment. State-of-the-art computer vision techniques are used to extract vehicle...
Automated material handling systems are widely used in industry due to high throughputs and good process quality. In order to fully utilize their potential, these systems have to be custom-built, requiring individually created control software. The engineering process of the control software includes extensive manual programming, because a modular structure of the control algorithm with predefined...
Future cellular networks (5G) will be used for a diversity of use cases. Transportation is one domain where cellular networks can play a significant role not only in connecting autonomous vehicles to other vehicles, infrastructures, and people, but also in realizing vehicle teleoperation i.e., vehicle driven by an operator from a distance. In this paper, we assess the feasibility of using a cellular...
Different services are separated by independent train ground communication networks in existing urban rail transit systems. Most of the independent train ground communication system are using IEEE 802.11 based WLAN technologies, which has many drawbacks when used in urban rail transit system, such as high speed performance degradation, open free frequency, etc. In this paper, we design a train ground...
The objective of this paper is the application and statistical analysis of a methodology that allows the estimation of Signal Phase and Timing (SPaT) information like cycle length and green time intervals for time-dependent fixed-time controlled or traffic actuated intersections based on low-frequency and sparse vehicular probe data, so called Floating Car Data (FCD). To infer SPaT, the applied approach...
In the context of future urban automated driving many important problems remain unsolved. A critical one is the analysis and prediction of pedestrian movements around urban roads. Especially the analysis of non-critical situations has not received much attention in the past. This paper focuses on analyzing and predicting movements of pedestrians approaching crosswalks, a very crucial pedestrian-vehicle...
Naturalistic driving recordings are important for understanding the driver behavior. Driver behavior events of interest in these recordings, such as driver confusion and stress, are important for studying driver behavior and develop the next generation advanced driver assistant systems (ADASs). Unfortunately, such events are rare cases in the naturalistic driving data. Manual annotation is usually...
Traffic state estimation plays a significant role in intelligent transportation systems. For a specific road, traffic state varies at different times of a day. Therefore, to estimate real-time traffic state is difficult. This paper presents a probabilistic approach for traffic state estimation. In this approach, traffic state distribution and data point distribution are used to describe the pattern...
Vehicle positioning and environment awareness are key components in new intelligent transportation systems (ITS) which explains the growing demand in distance sensors. Though several efficient technologies already exist, the growing automation of vehicle requires sensors redundancy. In this paper, we introduce a new, simple and low cost distance measurement scheme using the headlamps and taillights...
This paper proposed a new Vehicle Make Recognition (VMR) method using the PCANet features extracted from vehicle front view images. The PCANet architecture processes every input vehicle image through only three very simple data processing components: cascaded principle component analysis (PCA), binary hashing, and block-wise histograms, and generates a sparse vector as the feature representation....
Engineering data safety pervades the balise telegram compilation, which affects the railway traffic safety. The existing method to ensure data safety is to verify that whether the data conform to the specific verification rules generated based on the balise application principles and engineering data compilation specifications. However, these rules are described by natural language, which are characterized...
Holding has been extensively investigated as a strategy to mitigate the inherently stochastic nature of public transport operations. Holding focuses on either regulating vehicle headways using a rule-based approach or minimizing passenger travel cost by employing optimization models. This paper introduces a holding decision rule that explicitly addresses passenger travel cost. The decision to hold...
This article presents a large scale and long duration experiment as part of the French FUI VipaFleet project. A driverless shuttle has been operated for three month on an industrial site, totaling nearly 1500 km of autonomous travel and 300 passengers transported. The localization relies mainly on a multi camera system and a visual SLAM algorithm. Besides the vision algorithms themselves, this article...
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