Abstract

In transportation planning, design of intersections is required some concrete decisions. It is mostly related to capacity, safety and economy. In many applications, capacity is considered as the main factor for design purpose and type of intersection is determined regarding the capacity. But it is known that safety and economy are as important as the capacity. In order to handle this problem, a multi-criteria decision making approach (AHP) is used. Four intersection types are used. Fuel consumption, emission rates, delay, cost of intersection type and safety parameters are taken into account in the decision process. These intersection types are tested by SIDRA Intersection software using the parameters listed above. The data obtained by SIDRA software is used in the AHP model. Weights of the factors used in the AHP model are varied considering the views of capacity and economy. And results and applicability of the model are discussed. © 2016, IGI Global. All rights reserved. Document type: Part of book or chapter of book

Abstract

Software testing is becoming more prominent within the automotive industry due to more complex systems, and functions are implemented in the vehicles. The vehicles in the future will have the functionality to manage different levels of automation, which also means that vehicles driven by humans will have more supportive functionality to increase safety and avoid accidents. These functionalities result in a massive growth in the number of test scenarios to indicate that the vehicles are safe, and this makes it impossible to continue performing the tests in the same way as it has been done until today. The new conditions require that the test scenarios and Test Cases both be generated and executed automatically. In this thesis, an investigation and evaluation are performed to analyze the Automatic Test Case Generation methods available for inputs from Natural Language Requirements in an automotive industrial context at NEVS AB. This study aims to evaluate the NAT2TEST strategy by replacing the manual method and obtain a similar or better result. A comparative analysis is performed between the manual and automated approaches for various levels of requirements. The results show that utilizing this strategy in an industrial scenario can improve efficiency if the requirements to be tested are for well-documented lower-level requirements.

Abstract

The stricter safety requirements in the rail industry – implied by the EN 50128 standard – contribute to an increasing demand for testing rail vehicles and their subsystems, especially vehicle main controllers. Hardware-in-the-Loop method, which is commonly used in automotive and aerospace domains, has proved to be functionally useful. However, such systems would usually exceed the budget of a development project in the railway industry, due to short series manufacturing and multiple vehicle variants. To deal with this problem Tritem Microsystems has designed Virtual-HIL which decreases the overall cost and increases portability of this kind of a system. In this paper, we present both the classic approach and our groundbreaking system, along with a use case from one of our recent projects together with an automated testing framework built on the top of our Virtual HIL.