230.548 People
Calvert, Simeon C.
in Cooperation with on an Cooperation-Score of 37%
Topics
- planning
- mobility-as-a-service
- road
- highway traffic
- highway transportation
- driving
- driver
- human being
- truck
- traffic platooning
- system design
- automation
- traffic congestion
- beltway
- data
- Statistic
- topology
- indicating instrument
- highway
- bottleneck
- traffic data
- legislation
- detector
- repository
- time series
- tin
- Time series analysis
- simulation
- autonomous driving
- traffic signal
- traffic
- vehicle
- vehicle dynamic
- traffic simulation
- alertness
- vehicle mix
- human factor
- face
- traffic psychology
- modeling
- infrastructure
- laceration
- traffic flow
- intersection
- profit
- cruise control
- headway
- crossheading
- autonomous intelligent cruise control
- assessment
- validation
- deceleration
- warning system
- traffic safety
- traffic lane
- supervisor
- aggregate
- automobile
- perception
- traffic crash
- bridge
- driving behavior
- sensitivity
- lowering
- submarine
- prevention
- impurity
- reaction time
- driver error
- workload
- lane changing
- car following
- crossover
- traffic modeling
- reliability
- safety
- forecasting
- traffic signal control
- amber
- philosophy
- focus group
- driver training
- ethics
- driver examiner
- maintenance
- machinery
- consensus
- designer
- vehicle component
- vehicle design
- developer
- AIDS
- preservation
- driver licensing
- contaminant
- traffic performance
- on ramp
- traffic flow simulation
- behavior
- fuel
- fuel consumption
- consumer
- map
- engine
- real time control
- railroad train
- constraint
- transportation planning
- image processing
- database
- machine learning
- watershed
- density
- freeway
- policy analysis
- drone
- production
- prototype
- weapon
- engineering
- regulation
- automatic control
- public road
- dispute
- chemical element
- locomotive engineer
- psychology
- stakeholder
- traffic engineer
- expected value
- licensing
- theoretical study
- insurance
- attorney
- specification
- ground transportation
- government
- crash
- interface
- costs
- distraction
- risk taking
- information processing
- case study
- social science
- traffic management
- highway traffic control
- urban mobility
- uncertainty
- highway capacity
- urbanization
- logistics
- resilience
- road network
- disaster
- traffic model
- weight
- acceleration
- traveler
- traffic volume
- visualization
- legibility
- pricing
- trail
- 20th century
- stochastic process
- surveillance
- transport demand
- temperature
- wind
- weather condition
- snow
- rain
- data analysis
- random variable
- snowfall
- travel
- travel time
- city and town
- climate change
- automobile industry
- driving simulator
- weaving section
- vehicle characteristic
- urban travel
- urban transportation
- street
- urban road
- departure time
- arterial highway
- traffic flow theory
- mobility system
- rainfall
- mobility management
- macroscopic traffic flow
- trajectory
- earth science
- civil engineering
- conservation
- show 169 more
Publications
- 2021Slimme Mobiliteit voor beleidsmakers
- 2021How to ensure control of cooperative vehicle and truck platoons using meaningful human control
- 2021An Automated Detection Framework for Multiple Highway Bottleneck Activations
- 2020The impact and potential of cooperative and automated driving for intelligent traffic signal corridorscitations
- 2020A generic multi-level framework for microscopic traffic simulation with automated vehicles in mixed trafficcitations
- 2020Gaps in the Control of Automated Vehicles on Roadscitations
- 2020Corrigendum to “A generic multi-level framework for microscopic traffic simulation with automated vehicles in mixed traffic” [Transport. Res. Part C: Emerg. Technol. 110 (2020) 291–311] (Transportation Research Part C (2020) 110 (291–311), (S0968090X19304322), (10.1016/j.trc.2019.11.019))
- 2020Cooperative adaptive cruise control and intelligent traffic signal interactioncitations
- 2020Estimating the Safety Effects of Congestion Warning Systems using Carriageway Aggregate Datacitations
- 2020A generic multi-scale framework for microscopic traffic simulation part II: Anticipation Reliance as compensation mechanism for potential task overloadcitations
- 2020Cooperative adaptive cruise control and intelligent traffic signal interaction: A field operational test with platooning on a suburban arterial in real trafficcitations
- 2020A methodology for prediction accuracy assessment of intelligent traffic signal control algorithms with SPaT messages
- 2020A practitioner’s View of Driver Training for automated driving From Driving Examiners: A Focus group Discussioncitations
- 2019A human centric framework for the analysis of automated driving systems based on Meaningful Human Controlcitations
- 2019Evaluation and modelling of the traffic flow effects of truck platooningcitations
- 2019Human behaviour with automated driving systemscitations
- 2019Feature extraction and clustering analysis of highway congestioncitations
- 2019Human behaviour with automated driving systems: A quantitative framework for meaningful human controlcitations
- 2018Exploring the effects of perception errors and anticipation strategies on traffic accidents - A simulation studycitations
- 2018Meaningful Human Control over Automated Driving Systems
- 2018Traffic Flow of Connected and Automated Vehicles: Challenges and Opportunitiescitations
- 2018A generic multi-level framework for microscopic traffic simulation: Theory and an example case in modelling driver distractioncitations
- 2018Improving traffic management through consideration of uncertainty and stochastics in traffic flowcitations
- 2017A methodology for road traffic resilience analysis and review of related conceptscitations
- 2017Will automated vehicles negatively impact traffic flow?citations
- 2017Next steps in describing possible effects of automated driving on traffic flow
- 2017Visualisation of uncertainty in probabilistic traffic models for policy and operationscitations
- 2016Stochastic macroscopic analysis and modelling for traffic management
- 2016Influence of weather on traffic flow: An extensive stochastic multi-effect capacity and demand analysis:
- 2016Quantifying the impact of adverse weather conditions on road network performance
- 2016Considering knowledge gaps for automated driving in conventional traffic:
- 2015Bounded acceleration capacity drop in a Lagrangian formulation of the kinematic wave model with vehicle characteristics and unconstrained overtaking
- 2015Real-time travel time prediction framework for departure time and route advice:
- 2013Influence of rain on motorway road capacity - a data-driven analysis
- 2013Influence of rain on motorway road capacity - a data driven analysis:
- 2010A hybrid travel time prediction framework for planned motorway roadworkscitations
- 2010A-Priori Travel Time Predictor for Long Term Roadworks on Motorways
Places of action
article
A human centric framework for the analysis of automated driving systems based on Meaningful Human Control
Abstract
The future adoption of automated vehicles poses many challenges, with one of the more important being the preservation of control over vehicles that are no longer (fully) operated by drivers. There is consensus that vehicles should not perform actions that are unacceptable to humans. In this paper, we introduce the concept of Meaningful Human Control (MHC) as a function of a framework of the Automated Driving System (ADS). This framework is constructed through the core components that make up the ADS, primarily considered within the categories of the vehicle and driver. Identification of these components and the chain of control allow traceability of MHC to be performed, and aids vehicle manufacturers, software developers, other vehicle component designers, and vehicle- and driver licensing authorities to address many challenges related to the design and preservation of human control in automated vehicles. Operationalisation of MHC is discussed in the paper including a suggested approach that should aid understanding and the application of the concept. Four application examples are given and recommendations are made in regard to vehicle design, human machine interaction, transition of control, driver training, vehicle approval, and other topics. The framework and presented concept also allow researchers to identify areas to perform more explicit and relevant research and develop models that can be applied to perform projections of future impacts.
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