Index
Sustainable Automated and Connected Transport
ISBN: 978-1-80382-350-8, eISBN: 978-1-80382-349-2
ISSN: 2044-9941
Publication date: 4 June 2024
This content is currently only available as a PDF
Citation
(2024), "Index", Thomopoulos, N., Attard, M. and Shiftan, Y. (Ed.) Sustainable Automated and Connected Transport (Transport and Sustainability, Vol. 19), Emerald Publishing Limited, Leeds, pp. 195-201. https://doi.org/10.1108/S2044-994120240000019011
Publisher
:Emerald Publishing Limited
Copyright © 2024 Nikolas Thomopoulos, Maria Attard, and Yoram Shiftan
INDEX
Acceleration dynamics
, 30–31
Accessibility
, 114, 120
Adaptive Cruise Control (ACC)
, 16, 25
Advanced Driver Assistance Systems (ADAS)
, 14
Advanced Travel Information Services (ATIS)
, 70
Agenda
, 88
Agent-Based Modelling (ABM)
, 55
AIMSUN
, 55
Arriving Late
, 76
Artificial Intelligence (AI)
, 5, 115, 142
AstaZero campaign
, 33–34, 39, 41
Australia
, 102–103
Austria
, 106
Automated and Connected Transport (ACT)
, 4, 48, 140
ACT-based public transport
, 147–150
benefits
, 12
context
, 7–9
green vehicle H2020 research projects
, 15
opportunities and risks
, 9–12
potential ACT contributions towards SDGs
, 15
sustainable
, 13–16
synergies and trade-offs between transport and SDGs
, 13–14
threats
, 12
Automated driving
, 7–8
Automated driving systems (ADS)
, 9, 113
Automated Lane Keeping Systems (ALKS)
, 24, 102
Automated mobility
, 87
Automated public transit
, 71
Automated transport’s projected impacts on different spheres of sustainability
, 88–94
Automated vehicles (AVs)
, 66, 102
methods applied in automated vehicle acceptance and user preference studies
, 66–70
possibility of testing Avs. in context of logistics
, 110–111
AutomatFahrV
, 106
Automatic Emergency Braking (AEB)
, 40
Automatic Teller Machines (ATMs)
, 131
Automation
, 25, 86
Autonomous
, 7
Autonomous cars
, 124
Autonomous delivery robots (ADR)
, 173–174
Autonomous mobility
, 126
Autonomous transport
, 124
Autonomous vehicles (AVs)
, 8, 48, 120
autonomous driving trials
, 121
big data for planning during wide-scale deployment of AVs
, 131–132
data issue
, 130–132
impacts of autonomous road transport on sustainable urban development
, 124–129
lack of data during for current planning purposes
, 130–131
methodological framework
, 122–124
recommendations for planners
, 132–133
AutoX
, 102
AVG Share
, 76
Behaviour
, 17, 24
Big data for planning during wide-scale deployment of AVs
, 131–132
Bus Rapid Transit system (BRT system)
, 131
Business
, 10–12
Business models
, 95
California
, 103
Capability and capacity (C&C)
, 173
Capacity drop
, 24
Car-platoon
, 26
Cellular messaging
, 28
Choice model
, 73–74
Choice probabilities
, 73–74
Citizen
, 128
Climate change
, 127–128
Collision Avoidance System
, 25
Comparative analysis
, 17, 103
Connected and automated vehicles (CAVs)
, 24, 48, 86, 163
energy consumption
, 39–40
experimental observations of CACC
, 25–28
observable response time
, 33–34
single ACC dynamics
, 28–33
string stability
, 35–36
traffic flow
, 36
traffic hysteresis
, 36–39
traffic safety
, 40–41
Connected Cooperative Automated Mobility (CCAM) Association
, 16
Connected transport
, 141
Connectivity
, 8, 25
Cooperative, connected and automated mobility (CCAM)
, 120
Cooperative Adaptive Cruise Control (CACC)
, 16, 25, 27
experimental observations
, 25–28
Cooperative Automation Research and Mobility Applications (CARMA)
, 27–28
Cooperative-ACC
, 25
COP21
, 4
Cross-nesting (CN)
, 76
Cross-scientific cooperation
, 132
Cybersecurity risks
, 93
Czech Republic
, 107
Data
, 120
ethics
, 10
processing algorithms
, 26
De facto dominance
, 18
Decision-makers
, 48
Dedicated short-range communications (DSRC)
, 28
Denmark
, 107
Design
, 15, 26
Digitalisation
, 162
Disruptive future technologies
, 163
freight mobility
, 163–165
passenger mobility
, 165–166
Driver behavior
, 68
Driverless cars (see Self-driving vehicles)
Driverless operation
, 9
Driving automation
, 9
system or technology
, 9
Drones
, 9
Eco-driving
, 9
Economic sustainability
, 91–92
Electric cars (EC)
, 18, 177–179
Electrical vehicles (EVs)
, 10, 90
Electrification
, 60
Emissions
, 60
Energy
, 127–128
consumption
, 39–40, 60
Energy Research Institute at the Nanyang Technological University (ERI@N)
, 151
Environment
, 127–128
Environmental gains
, 190–191
Environmental sustainability
, 89–91
Error components
, 74
European perspective
, 103
European Union (EU)
, 122, 190
Exclusions in ACT-based transport
, 140
Expected Travel Time
, 76
Experience
, 76
Expert
, 7
Expert Group
, 10
Finland
, 9, 11, 107
5G
, 110
France
, 109
Freight
, 162
Freight mobility
, 163–165
Future mobility
, 162
disruptive future technologies
, 163–166
SDG-mobility analysis framework
, 168–179
sustainable development goals as framework for sustainable mobility policy development
, 166–168
GA experiments
, 27
Game-based model (GBM)
, 73, 75
General Data Protection Regulation (GDPR)
, 113
Germany
, 106
Global
, 113
Governance
, 18
Greece
, 108
Greenhouse gas emissions (GHG emissions)
, 4, 78, 89, 120
H2020 SHOW project
, 17
Health
, 125
Heavy goods vehicles (HGVs)
, 164
Highway
, 165
Human driven vehicles
, 27
Human-driven car-platoon datasets
, 28
Hydrogen
, 94
Hydrogen Heavy Goods Vehicles
, 18
Hydrogen-fuelled heavy goods vehicles (H2HGV)
, 174–176
Impacts
, 120
Implementation
, 103
Inclusive mobility
, 18
Inclusive transport system
, 140
ACT-based public transport
, 147–150
exclusionary character of transport modes
, 141–142
privately-owned fully automated ACT vehicles
, 144–145
privately-owned partially automated ACT vehicles
, 142–144
sequential sharing of fully automated ACT vehicles
, 146–147
Singapore case
, 150–153
INDIMO19 project
, 15
Information Communication Technologies (ICTs)
, 59, 70
Infrastructure
, 125–127
Instability
, 24
Intergovernmental Panel on Climate Change (IPCC)
, 13, 188
Internal Combustion Engine Vehicles (ICEVs)
, 90
Israeli Shekel (ILS)
, 71
Italy
, 28, 104
Key Performance Indicators (KPIs)
, 15, 17, 49
for ACT simulation scenarios
, 59
and relation to policy needs
, 58–61
Land Transport Authority (LTA)
, 151
Land use
, 61
Lane Change Assistance
, 25
Lane Keeping Assist
, 25
Legal framework
, 106
Lessons learnt
, 153
Likert scales
, 104
Living Lab
, 5, 16
Logistics
, 104
Logit kernel (LK)
, 73
Lower speed value
, 38
MA experiments
, 27
Macroscopic models
, 130
Management
, 126
Mass Rapid Transit (MRT)
, 150
Mesoscopic model
, 55
Methods
, 130
Microscopic models
, 50, 55
Ministry of Domestic Affairs
, 105
Ministry of Ecological Transition
, 105
Ministry of Economics
, 105
Mixed-multinomial logit model (MMNL model)
, 73
Mobility conditions
, 124–125
Mobility-as-a-Service (MaaS)
, 11, 78, 89, 124, 165, 176–177, 191
Mode and departure time choice dynamics
, 76–77
Motorways
, 9
National frameworks review in European countries
Austria
, 106
Czech Republic
, 107
Denmark
, 107
Finland
, 107
France
, 105
Germany
, 106
Greece
, 108
Italy
, 108
Netherlands
, 107
Spain
, 106
Sweden
, 106
Naturalistic experiments
, 69
Netherlands
, 107
Observable response time
, 33–34
Observation
, 26
‘One-size-fits-all’ approach
, 120
Online survey with national experts on automated transport
, 108
OpenACC dataset
, 27
Operational design domain (ODD)
, 9, 104
Operational procedures
, 113
Original Equipment Manufacturers (OEMs)
, 107, 163
ORSEE web-based Online Recruitment System
, 71
Packaging automation
, 87
Paris Agreement
, 127
PARKGAMESG
, 70
Passenger mobility
, 165–166
Phantom traffic jams
, 24
Planning
, 49
Platoon string stability
, 35
Policy
, 4
Policy implications
, 66
Policy-making conclusions
, 18
Predictive validity
, 70
Privacy
, 93
Private car
, 130
Private ride in automated vehicle
, 71
Privately-owned fully automated ACT vehicles
, 144–145
Privately-owned partially automated ACT vehicles
, 142–144
Proactive Fuzzy Safety metric (PFS)
, 41
Process validity
, 70
Professionals
, 26, 124
Psychological validity
, 69–70
Public opinion surveys
, 68
Public transit (PT)
, 71, 74
Public transport
, 141
Quadruple Helix approach
, 5, 15–16
Quintuple Helix innovation models
, 15
Random parameter (RNP)
, 74
Intercept
, 76
Rebound effect
, 10
Regulation
, 143, 147
Regulatory frameworks
basic aspects regarding permit application procedures
, 108–109
method
, 104–105
number and type of requirements for permit application
, 109–110
operator and remote operation
, 111–112
possibility of testing Avs. in context of logistics
, 110–111
reporting duties
, 112
results
, 105–108
Remote operation
, 111–112
Reporting
, 112
Requirements
, 112
Responsibility
, 10
Responsible innovation
, 10
Revealed preference surveys (RP surveys)
, 67
Ridesharing
, 66, 78
Road safety
, 10, 124–125
Road transport networks
, 24
Robot Operating System (ROS)
, 28
Rural communities
, 93
Safety
, 60
driver
, 102
Scenarios development
, 50
Selection bias
, 88
Self-driving vehicles
, 8
Sequential sharing of fully automated ACT vehicles
, 146–147
Serious games (SGs)
, 66, 69–70
approach
, 17
choice model
, 73–74
methods applied in automated vehicle acceptance and user preference studies
, 66–70
objectives and context
, 66
policy implications
, 77–79
research methods
, 70–73
results and inference
, 74–77
Servitisation of mobility
, 176
Shared Autonomous Electric Vehicles (SAEVs)
, 90
Shared autonomous vehicles (SAVs)
, 48, 55, 66, 90
Shared Car (SC)
, 74, 127
Shared ride in autonomous car
, 71
Shared-Ride (SR)
, 74
SHOW project
, 104
Simulations
, 49
pipeline, input and assumptions
, 50–58
scenarios related to ACT studies
, 51–54
studies for automated transport
, 50
Simulators
, 68–69
Singapore case
, 150
guidelines and regulations
, 150–151
lessons learnt
, 153
promoting ACT-based public transport
, 151
research
, 152–153
transport vision
, 150–151
trials
, 152
Single ACC dynamics
, 28–33
Single-dimension automated functionalities
, 25
Smart City infrastructure
, 126
Social challenges of ACT
, 18
Social generations
, 165
‘Social implications’ of ACT
, 191–192
Social sustainability
, 92–94
Society of Automotive Engineers (SAE)
, 8
Levels of Automation
, 10–11
Socio-economic sustainability, horizontal challenges of
, 128–129
Spain
, 106–107
Spatial development
, 125–127
Spatial planning
, 122
Specification
, 74
Speed distributions
, 31
Stakeholders
, 58
Stated preference-based studies (SP-based studies)
, 67–68
String stability
, 25, 35–36
Structural validity
, 70
SUMO
, 55
Survey
, 167
Sustainability
, 48, 86, 141
automated transport’s projected impacts on different spheres of
, 88–94
commitments
, 166
KPIs and relation to policy needs
, 58–61
simulation pipeline, input and assumptions
, 50–58
simulation studies for automated transport
, 50
Sustainable automated and connected transport
, 13–16
Sustainable development
, 130
Sustainable implementation
, 103
Sustainable mobility
, 78, 114
paradigm
, 130–131
Sustainable transport
, 4
Sustainable urban development
energy, environment and climate change
, 127–128
horizontal challenges of socio-economic sustainability
, 128–129
impacts of autonomous road transport on
, 124–129
infrastructure and spatial development
, 125–127
mobility conditions and road safety
, 124–125
Sustainable Urban Mobility Plan (SUMP)
, 120
Sweden
, 106
Tactical safety
, 40
Technology
, 114–115
Tesla
, 162
Testing
, 103
The Netherlands
, 107
Time To Collision (TTC)
, 41
Tractive energy
, 39
Traffic efficiency
, 59–60
Traffic flow
, 36
Traffic hysteresis
, 24, 36–39
Traffic oscillations
, 24, 36–37
Traffic safety
, 40–41
Traffic simulation models
, 50
Transit Oriented Development (TOD)
, 95
Transport
, 4
planning
, 120
Travel behaviour
, 60
Trial operation
, 108
Trials
, 108
Triple bottom line problematisation
, 87
automated transport’s projected impacts on different spheres of sustainability
, 88–94
future research directions
, 96–97
methodology
, 87–88
Triple Helix innovation model
, 5, 15
26th United Nations Climate Change Conference of Parties 26 (COP26)
, 4
U-blox
, 27
Uber
, 162
UITP
, 103
UN Sustainable Development Goals (SDGs)
, 13–14, 49, 127
ADR
, 173–174
dependencies on transport and mobility
, 167–168
EC
, 177–179
as framework for sustainable mobility policy development
, 166
H2HGV
, 174–176
MaaS
, 176–177
SDG 11
, 122
SDG-mobility analysis framework
, 168
SDG9
, 14
as tool for sharing perspectives on sustainability
, 166–167
UAV
, 171–173
UNECE
, 113
United Nations
, 127
Unmanned aerial vehicles (UAV)
, 171–173
Urban development
, 120
Urban planning
, 189
Urban railways
, 131
Urban traffic congestion
, 91
User-centred co-creative approach
, 16
Value of Travel Time (VOT)
, 10
Vanderbilt University dataset
, 27
Vehicle automation
, 86
Vehicle dynamics
, 31
Vehicle miles travelled (VMT)
, 69
Vehicle-Kilometres-Travelled (VKT)
, 10, 188
Vehicle-to-everything (V2X)
, 26
Vehicle-to-infrastructure (V2I)
, 26
Vehicle-to-vehicle (V2V)
, 26
Virtual Reality (VR)
, 68
VISSIM
, 55
Waymo
, 102
Wider Impacts and Scenario Evaluation of Autonomous & Connected Transport (WISE-ACT)
, 7–8
COST Action
, 189
future agenda
, 192–193
ZalaZone campaign
, 34
- Prelims
- Part One: ACT Innovation
- Chapter 1: Introduction to Sustainable Automated and Connected Transport
- Chapter 2: Impacts of Partially Connected and Automated Vehicles on Traffic Flow and Energy Based on Worldwide Experimental Observations in Motorway Driving
- Chapter 3: Evaluating Sustainability in Simulations of Automated and Connected Transport
- Chapter 4: Applying Serious Games in Models of Preferences of Shared Automated Vehicles
- Part Two: Policy & Regulation
- Chapter 5: Can Driverless Transport Be Sustainable? A Triple Bottom Line Problematisation
- Chapter 6: Regulatory Frameworks for Testing Automated Vehicles: Comparative Analysis of National Regulations and Key Aspects for a Sustainable Implementation
- Chapter 7: Integrated Urban Transport Planning in the Era of Autonomous Vehicles
- Chapter 8: Rescuing Transport from Inequities: How Can Automated and Connected Transport Contribute to a More Inclusive Transport System?
- Chapter 9: Viable Business or Vital Environment? Deconstructing the Sustainability Concept in Future Mobility Entrepreneurship
- Chapter 10: Conclusions: Working Towards a Sustainable ACT
- Index