Methods used to evaluate the impact of Intelligent Transport System (ITS) services on road safety are usually based on expert assessments or statistical studies. However, commonly used methods are challenging to apply in the planning process of ITS services. This paper presents the methodology of research using surrogate safety measures calculated and calibrated with the use of simulation techniques and a driving simulator. This approach supports the choice of the type of ITS services that are beneficial for traffic efficiency and road safety. This paper presents results of research on the influence of selected scenarios of variable speed limits on the efficiency and safety of traffic on the sections of motorways and expressways in various traffic conditions. The driving simulator was used to estimate the efficiency of lane-keeping by the driver. The simulation traffic models were calibrated using driving simulator data and roadside sensor data. The traffic models made it possible to determine surrogate safety measures (number of conflicts and their severity) in selected scenarios of using ITS services. The presented studies confirmed the positive impact of Variable Speed Limits (VSLs) on the level of road safety and traffic efficiency. This paper also presents recommendations and plans for further research in this area.
In L3–L4 vehicles, driving task is performed primarily by automated driving system (ADS). Automation mode permits to engage in non-driving-related tasks; however, it necessitates continuous vigilance and attention. Although the driver may be distracted, a request to intervene may suddenly occur, requiring immediate and appropriate response to driving conditions. To increase safety, automated vehicles should be equipped with a Driver Intervention Performance Assessment module (DIPA), ensuring that the driver is able to take the control of the vehicle and maintain it safely. Otherwise, ADS should regain control from the driver and perform a minimal risk manoeuvre. The paper explains the essence of DIPA, indicates possible measures, and describes a concept of DIPA framework being developed in the project.
The subject of this publication is the use of top-of-the-range driving simulators to study the impact of ITS services on the road safety. The aim of the article is to describe the assumptions of simulation studies carried out as part of the RID 4D project and to present the method of building research scenarios. The article discusses the catalogue of ITS services of the greatest importance to the Road Traffic Safety and traffic efficiency developed under the project. Then, services from the catalogue were specified, which were tested on the driving simulator of the Motor Transport Institute. The tests included sections of a dual-lane expressway. As a result of the work, four scenarios were created containing various dangerous events and variable message boards informing drivers about the danger and/or limiting the permitted speed. During the simulation, a set of several dozen parameters related to vehicle motion was recorded, in particular the distance to the vehicle ahead, time to collision with another vehicle or object on the road, speed, intensity of braking and acceleration. The tests were performed for good and bad weather conditions on a 60-person study group. The division into age groups 18-24, 25-50 and above 50 years was applied. The research showed a difference in the way drivers of static signs and speed limits on the variable message signs affect drivers. For variable messages signs, there was a greater decrease in speed than in the case of static signs.
Last decade has been characterized by a huge advancement in the field of automated and connected transport. However, fully autonomous systems still need a lot of effort in order to be applied in transportation. Meanwhile, mixed traffic environments with semi-autonomous vehicles is becoming a norm. In such conditions, vehicles are passing the dynamic driving task back to the human by sending to drivers Requests to Intervene (RtI). At the same time, there is a need to evolve driver's training in order to be able to safely use semiautomated vehicles, whereas driver intervention performance has to be made an integral part of both driver and technology assessment. Furthermore, the ethical implications of automated decision-making need to be properly assessed, giving rise to novel risk and liability analysis models. In this conceptual paper we present our vision to maximise the safety, trust and acceptance of automated vehicles. To achieve that, we propose an assessment framework to evaluate different technologies involved in Automated Driving Systems (ADS).
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