Scanning the Issue
Code-Aided Channel Tracking and Decoding Over Sparse Fast-Fading Multipath Channels With an Application to Train Backbone Networks
Code-Aided Channel Tracking and Decoding Over Sparse Fast-Fading Multipath Channels With an Application to Train Backbone Networks
- Shahrouz Khalili,
- Jianghua Feng,
- Osvaldo Simeone,
- Jun Tang,
- Zheng Wen,
- Alexander M. Haimovich,
- MengChu Zhou
In a fast-fading environment, e.g., high-speed railway communications, channel estimation and tracking require the availability of a number of pilot symbols that is at least as large as the number of independent channel parameters. Aiming at reducing ...
Practical Multicriteria Urban Bicycle Routing
Increasing the adoption of cycling is crucial for achieving more sustainable urban mobility. Navigating larger cities on a bike is, however, often challenging due to the cities' fragmented cycling infrastructure and/or complex terrain topology. Cyclists ...
On Optimizing Reservation-Based Intersection Controls
Tile-based reservation intersection control for autonomous vehicles has the potential to reduce intersection delays beyond optimized traffic signals. A major question in implementing reservations is the underdetermined problem of resolving conflicting ...
Distributed Aggregate Privacy-Preserving Authentication in VANETs
Existing secure and privacy-preserving vehicular communication protocols in vehicular ad hoc networks face the challenges of being fast and not depending on ideal tamper-proof devices (TPDs) embedded in vehicles. To address these challenges, we propose ...
Assessing Route Choice to Mitigate Older Driver Risk
Older drivers face decline in perceptual, cognitive, and motor abilities, and yet, increased fragility largely explains their increased risk of fatal crashes. Adaptation and self-regulation explain why older drivers can be safe drivers in the face of ...
A Probabilistic Approach to Improve the Accuracy of Axle-Based Automatic Vehicle Classifiers
This paper details a simple and novel approach to solve the assignment problem of finding optimum thresholds for axle-based vehicle classifiers. A case study utilizing Oklahoma's axle-based classification stations was conducted in an effort to build, ...
Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State
Driver's fatigue is one of the major causes of traffic accidents, particularly for drivers of large vehicles (such as buses and heavy trucks) due to prolonged driving periods and boredom in working conditions. In this paper, we propose a vision-based ...
Taxonomy of Conflict Detection and Resolution Approaches for Unmanned Aerial Vehicle in an Integrated Airspace
This paper proposes a taxonomy of conflict detection and resolution (CD&R) approaches for operating unmanned aerial vehicles (UAVs) in an integrated airspace. Possible approaches for UAVs are surveyed and broken down based on their types of surveillance,...
A Cognitive Control Method for Cost-Efficient CBTC Systems With Smart Grids
Communication-based train control (CBTC) systems use wireless local area networks for information transmission between trains and wayside equipment. Since inevitable packet delay and drop are introduced in train–wayside communications, information ...
An Offline Framework for the Diagnosis of Time Reliability by Automatic Vehicle Location Data
Time reliability problems are unavoidable, owing to the stochastic context in which bus services are operated. Therefore, characterizing their reliability and understanding possible sources of unreliability provides an opportunity to keep buses on ...
Accelerated Evaluation of Automated Vehicles Safety in Lane-Change Scenarios Based on Importance Sampling Techniques
Automated vehicles (AVs) must be thoroughly evaluated before their release and deployment. A widely used evaluation approach is the Naturalistic-Field Operational Test (N-FOT), which tests prototype vehicles directly on the public roads. Due to the low ...
EcoTrec—A Novel VANET-Based Approach to Reducing Vehicle Emissions
There are interdependent increases in vehicle numbers, vehicular traffic congestion, and carbon emissions that cause major problems worldwide. These problems include direct negative influences on people's health, adverse economic effects, negative ...
Visual Object Tracking With Partition Loss Schemes
Object tracking is a fundamental task for building vision systems of automatic transportation. Despite demonstrated success in this active research field, it is still difficult to cope with complicated appearance changes caused by background clutters, ...
Reliability-Based Traffic Signal Control for Urban Arterial Roads
It is widely accepted that travelers value both the reliability of travel time and its mean or expected value. Strategies for traffic signal control typically seek to optimize average travel times, although reliability is in general not explicitly taken ...
Nonlinear Control for Dual Objective Active Suspension Systems
In this paper, an active suspension system employing a new nonlinear control law is proposed to address the problem of achieving the dual objective of providing ride comfort and trying to keep the suspension deflection within the constraint of rattle ...
Automated Intersection Mapping From Crowd Trajectory Data
- Christian Ruhhammer,
- Michael Baumann,
- Valentin Protschky,
- Horst Kloeden,
- Felix Klanner,
- Christoph Stiller
Driver assistance systems and automated driving are known to strongly benefit from digital maps. Keeping map attributes up to date is a challenge, particularly for the current manual measuring approach. In this paper, we present methods to extract ...
Formal Methods for Validation and Test Point Prioritization in Railway Signaling Logic
The EN50128 Railway Safety Standard recommends the use of formal methods for proving the correctness of the yard-specific logic, which was developed for electronic signaling and interlocking systems. We present a tool flow, which consists of three ...
How to Protect ADS-B: Confidentiality Framework and Efficient Realization Based on Staged Identity-Based Encryption
Automatic Dependent Surveillance-Broadcast (ADS-B) is one of the key technologies for future “e-Enabled” aircrafts. ADS-B uses avionics in the e-Enabled aircrafts to broadcast essential flight data such as call sign, altitude, heading, and other extra ...
Modal Activity-Based Stochastic Model for Estimating Vehicle Trajectories from Sparse Mobile Sensor Data
Probe vehicles that measure position and speed have emerged as a promising tool for traffic data collection and performance measurement, but the sampling rates of most probe vehicle sensor data available today are low (ranging from 10 to 60 s per sample)...
Clustering Smart Card Data for Urban Mobility Analysis
Smart card data gathered by automated fare collection (AFC) systems are valuable resources for studying urban mobility. In this paper, we propose two approaches to cluster smart card data, which can be used to extract mobility patterns in a public ...