Towards a Specified Operational Design Domain for a Safe Remote Driving of Trains

2021 ◽  
Author(s):  
Abhimanyu Tonk ◽  
Abderraouf Boussif ◽  
Julie Beugin ◽  
Simon Collart-Dutilleul
Keyword(s):  
Design Domain ◽  
Operational Design ◽  
Remote Driving

scholarly journals Analysis of ATO System Operation Scenarios Based on UPPAAL and the Operational Design Domain

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 503
Author(s):  
Zicong Meng ◽  
Tao Tang ◽  
Guodong Wei ◽  
Lei Yuan
Keyword(s):  
High Speed ◽  
Test Case ◽  
Design Domain ◽  
System Operation ◽  
High Speed Railway ◽  
Functional Specification ◽  
Operational Design ◽  
Train Operation ◽  
System Requirements ◽  
Automatic Train Operation

With the gradual maturity of the automatic train operation (ATO) system in subways, its application scope has also expanded to the high-speed railway field. Considering that the ATO system is still in the early stages of operation, it will take time to fully mature, and definite specifications of the requirements for system operation have not yet been formed. This paper presents the operational design domain (ODD) of the high-speed railway ATO system and proposes a scenario analysis method based on the operational design domain to obtain the input conditions of the system requirements. The article models and verifies the scenario of the linkage control of the door and platform door based on the UPPAAL tools and extracts the input and expected output of the system requirements of the vehicle ATO system. Combined with the input conditions of the system requirements, the system requirements of the vehicle ATO in this scenario are finally obtained, which provides a reference for future functional specification generation and test case generation.

EVALUATION OF PLATOONING CONTROL MODEL TOWARDS SAFETY OF INTENDED FUNCTIONALITY WITH BASIS ON OPERATIONAL DESIGN DOMAIN

2021 ◽  
Author(s):  
Vinicius Marini ◽  
Fabrizio Leonardi ◽  
Roberto Bortolussi ◽  
Agenor Fleury ◽  
Flávio Trigo ◽  
...  
Keyword(s):  
Control Model ◽  
Design Domain ◽  
Operational Design

Identification of Operational Design Domain for Autonomous Truck Mounted Attenuator System on Multilane Highways

2021 ◽  
pp. 036119812110615
Author(s):  
Qing Tang ◽  
Xianbiao Hu ◽  
Hong Yang
Keyword(s):  
Discharge Rate ◽  
Design Domain ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
Flow Models ◽  
Effective Discharge ◽  
Discharge Rates ◽  
Operational Design ◽  
Traffic Flow Models ◽  
Key Indicators

The Autonomous Truck Mounted Attenuator (ATMA) vehicle system is a technology that leverages connected and automated vehicle (CAV) capabilities for maintenance of transportation infrastructure. Promoted by FHWA and state departments of transportation (DOTs), it is a niche CAV application in leader–follower style, intended to remove DOT workers from the following maintenance truck, to reduce fatalities in work zones. Because practicable guidance for deployment of this technology is largely missing in MUTCD, state DOTs have been making their own deployment criteria. In this manuscript, we focus on the operational design domain (ODD) problem—under what traffic conditions should ATMA be deployed. Modeling efforts are first focused on the derivation of an effective discharge rate that can be associated with a moving bottleneck caused by slow-moving ATMA vehicles on a multilane highway. Then, based on the demand input and discharge rates, microscopic traffic flow models calculate vehicle delay and density, which the Highway Capacity Manual (HCM) suggests are key indicators of a multilane highway’s level of service (LOS). In this way, the linkage between AADT and LOS is analytically established. NGSIM data is used for the model validation and shows that the developed model correctly captures the effective discharge rate discount caused by moving bottlenecks. The modeling results demonstrate that roadway performance is sensitive to the K factor and D factor, as well as the operating speed of ATMA and, if LOS = C is a desirable design objective, a good AADT threshold to use would be around 40,000 vehicles per day.

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