The development of mobile IT continuously provides new resources of use in the road environment. However, there are problems turning technical options into meaningful applications. This paper presents a method where observation of daily practices to identify users' demands to inform ITS-design. The particular case is bus driving and public transport management, seen from the bus-drivers’ perspe...

Introduction and Scope Automotive cyber-physical systems (CPS) encompass nearly every research challenge offered by high-confidence computing. To scope this position paper, I will focus on open research questions in the design and assurance of fault-tolerant real-time automotive communication buses. An example of a fault-tolerant automotive bus in development today is FlexRay, and there are a v...

This paper presents a technique for saving power dissipation in large datapaths by reducing unnecessary switching activity on buses. The focus of the technique is on achieving effective power savings with minimal overhead. When a bus is not going to be used in a datapath, it is held in a quiescent state by stopping the propagation of switching activity through the module(s) driving the bus. The...

Nowadays, with highly developed instrumentation, sensing and actuation technologies it is possible to foresee an important advance in the field of autonomous and semi-autonomous transportation systems. Among the most promising transport infrastructures the articulated bus is an interesting, low cost and friendly option. In this paper an experimental set-up for research on automatic control of a...

This work aims to develop statistical models for ultrafine/fine particle number emission rates from a diesel bus, to evaluate the explanatory power of engine operating variables. Emissions were recorded by using on-board instrumentation in two types of real-world driving conditions: a freeway commuting route and a within-city-limits bus route, with stop and go due to intersections and bus stops...

The automotive industry’s focus on driver-oriented issues underscores the critical importance of driver safety. This paper presents development advanced assistance system (ADAS) algorithms specifically tailored for an electric bus (e-bus) to enhance proposed approach incorporates two key components: a 360-degree surround-view and behavior recognition utilizing You Only Look Once V5 (YOLO_V5) me...

This paper presents a data mining methodology for driving condition monitoring via CAN-bus data that is based on the general data mining process. The approach is applicable to many driving condition problems and the example of road type classification without the use of location information is investigated. Location information from Global Positioning Satellites and related map data are often n...

In this paper, we propose initial steps towards multi-modal driver stress (distraction) detection in urban driving scenarios involving multi-tasking, dialog system conversation, and medium-level cognitive tasks. The goal is to obtain a continuous operation-mode detection employing driver’s speech and CAN-Bus signals, with a direct application for an intelligent human-vehicle interface which wil...

The problems of bus bunching mitigation and the energy management groups vehicles have traditionally been treated separately in literature formulated two different frameworks. present work bridges this gap by formulating optimal control problem line eco-driving regularity as a smooth, multi-objective <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlin...