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On-ramp merging areas are typical bottlenecks in the freeway network since merging on-ramp vehicles may cause intensive disturbances on the mainline traffic flow and lead to various negative impacts on traffic efficiency and safety. The connected and autonomous vehicles (CAVs), with their capabilities of real-time communication and precise motion control, hold a great potential to facilitate ramp merging operation through enhanced coordination strategies. This paper aims to present a comprehensive review of the existing ramp merging strategies leveraging CAVs, focusing on the latest trends and developments in the research field.

The review comprehensively covers 44 papers recently published in leading transportation journals. Based on the application context, control strategies are categorized into three categories: merging into sing-lane freeways with total CAVs, merging into sing-lane freeways with mixed traffic flows and merging into multilane freeways.

Relevant literature is reviewed regarding the required technologies, control decision level, applied methods and impacts on traffic performance. More importantly, the authors identify the existing research gaps and provide insightful discussions on the potential and promising directions for future research based on the review, which facilitates further advancement in this research topic.

Many strategies based on the communication and automation capabilities of CAVs have been developed over the past decades, devoted to facilitating the merging/lane-changing maneuvers at freeway on-ramps. Despite the significant progress made, an up-to-date review covering these latest developments is missing to the authors’ best knowledge. This paper conducts a thorough review of the cooperation/coordination strategies that facilitate freeway on-ramp merging using CAVs, focusing on the latest developments in this field. Based on the review, the authors identify the existing research gaps in CAV ramp merging and discuss the potential and promising future research directions to address the gaps.

The purpose of this paper is to discuss European Aviation Safety Agency’s (EASA’s) Prototype Regulation on Unmanned Aircraft Operation and introduce the tool Operational Risk Considerations for Unmanned Aircraft Systems (O.R.C.U.S.). In contrast to existing airworthiness regulations for civil manned aircraft, EASA’s approach is focussed on flight operations and not aircraft, a significant change for the domain of civil airworthiness.

O.R.C.U.S. is a software risk analysis tool developed by the corresponding author. It encompasses all relevant factors for flight operations of light Unmanned Aircraft Systems (UAS) above populated areas in Germany. The tool generates predictions of possible fatalities in the event of a light Unmanned Aircraft crash through the use of validated statistics and considering the time and location of a mission. An example mission, including a discussion of the results, is provided to demonstrate and discuss the capabilities of O.R.C.U.S.

EASA’s Prototype Regulation on Unmanned Aircraft Operation makes a sound risk assessment of UAS flight operations indispensable. O.R.C.U.S. is able to increase risk awareness for operators and airworthiness authorities even if only less to none information about the UAS is available, supporting the possible approval of such an operation.

In this paper, O.R.C.U.S. is presented for the first time. O.R.C.U.S. can provide risk estimations for UAS operations in Germany, even if only minimum information about the UAS is available. In contrast to other tools, O.R.C.U.S. offers a unique risk prediction by combining aspects of the flying Unmanned Aircraft as well as the overflown area.

Examines how self‐regulation in advertising, within a framework of legislation, can help reverse the trends toward childhood obesity and excessive consumerism by protecting children from undesirable advertising practices. Outlines how this works in Europe: a code of advertising practice is created, based on the codes of the International Chamber of Commerce, and a self‐regulatory organisation (SRO) is formed to operate this, with the European Advertising Standards Alliance (EASA) providing a single voice for self‐regulation. Describes how SROs actually enforce the codes by giving advice, handling complaints, monitoring advertising in their markets, and referring serious cases of abuse to the appropriate legal authority. Assesses how well the system is working: the number of complaints being handled is small in proportion to the total number of advertisements, and those concerning food and children form a small portion of the total number of complaints, but there is room for improvement. Shows how the 2004 EASA Self‐Regulation Charter makes specific commitments to cover any gaps in existing coverage. Concludes with five ways that marketers can help effective self‐regulation: keep to the spirit of the codes, educate your staff, use SRO advice on copy and other aspects, review complaints and monitor results, and challenge incorrect claims.

This paper aims to show the current situation and additional requirements for the aircraft automation systems based on the lessons learned from the two 737 MAX crashes.

In this study, the Swiss cheese model was used to find the real root causes of the 737 MAX accidents. Then, the results have been compared with the actions taken by the manufacturers and authorities. Based on the comparison, the necessary improvements to prevent such accidents are defined. Regarding the faulty sensor that forms the accidents, a synthetic sensor was developed using an aerodynamic model.

It has been proven that the safety-critical automation systems should not be designed by relying on a single set of sensor data. Automation levels should be defined in a standard way. Depending on the defined automation level, the system must be designed as either fail-safe or fail-operational system. When designing backup systems, it should be decided by looking at not only whether it has power but also the accuracy of the incoming signals.

Aviation certification requirements related to automation systems need to be revised and improved. With this context, it was revealed that the certification processes for automation systems should be re-evaluated and updated by aviation authorities, especially Federal Aviation Administration and European Union Aviation Safety Agency.

Task sharing between automation system and pilot based on the classification of automation levels and determining certification requirements accordingly has been brought to the agenda. A synthetic Angle of Attack sensor was developed by using an aerodynamic model for fault detection and diagnosis.