TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
2 | |
2+1 highways | |
20mph speed limit | |
3 | |
30 km/h speed limit | |
A | |
Academic importance and local context of EWGT2025 | |
academic mobility | |
accessibility | |
Accident severity | |
accounting | |
Active inference | |
Active mobility | |
Active School Travel (AST) | |
Active Transport Modes | |
active travel | |
Activity Based Modelling | |
Activity Scheduling | |
Adaptive Cruise Control | |
adaptive intersection management | |
Adaptive Traffic Control | |
Adaptive Traffic Control System (ATCS) | |
ADAS | |
Adjustable Robust Optimization | |
adoption | |
adoption decision | |
Adoption intention | |
Advanced Air Mobility | |
Advanced Driver Assistance Systems (ADAS) | |
Advanced Protection System | |
AFC data | |
After-school activities | |
Agent based modelling | |
Agent-Based Modeling | |
Agent-Based Modelling | |
agent-based simulation | |
AHP approach | |
AI | |
air transport | |
Aircraft design | |
aircraft rotation | |
Aircraft sharing | |
Airline Bailout | |
Airline scheduling | |
Airlines | |
airport access | |
Airport Development | |
Alighting Incentives Modeling | |
Ambulance Allocation | |
anomaly detection | |
APC data | |
Apollo | |
App based Mobility | |
approximation | |
area selection | |
artificial intelligence | |
assessment | |
automated | |
Automated Buses | |
Automated Buses | |
automated data repair | |
Automated Fare Collection | |
Automated planning | |
automated vehicle location | |
Automated Vehicles | |
Autonomous vehicle | |
Autonomous Vehicles | |
Autonomous Vehicles Adoption | |
Autonomous vehicles AV | |
Autovelox | |
AV Behaviour | |
Aviation | |
AVL | |
B | |
Barge Transportation | |
Batteries | |
Battery Electric vehicles | |
Bayesian Estimation | |
Bayesian Multinomial Logit (BML) | |
Beef Cold Chain | |
behavior | |
behavioral adaptation | |
Behavioral Change | |
bicycle safety | |
Bicycle sharing | |
bicycle simulator | |
Big data | |
Big data Analysis | |
bike share | |
bike sharing | |
Bike trip duration | |
Bike-sharing | |
bike-sharing systems | |
Bikeability | |
Binary tree | |
Block Maxima | |
Bounded Stochastic User Equilibrium (BSUE) | |
Brain-Computer Interface | |
Bus | |
Bus Arrival Time Prediction | |
Bus Dwell Time | |
Bus Rapid Transit System (BRTS) | |
Bus user profiles and service satisfaction | |
C | |
Calculator | |
capacity | |
Capacity Constraints | |
Capacity Reduction | |
car following | |
Car-following | |
car-use reduction | |
care trips | |
Cargo bike | |
Cargo-Hitching | |
case study | |
Catchment Area | |
Causality | |
Cell Transmission Model | |
CEP | |
Chain choice | |
charges | |
charging infrastructure | |
Choice behaviour | |
Choice modelling | |
city logistics | |
Classification | |
Climate Change | |
Climate Change Resilience | |
climate mitigation | |
clustering | |
CNN | |
CO2 emissions | |
CO2 equivalents | |
Coach | |
Collision avoidance | |
Collision Prevention | |
Comfort | |
Commercial constraints | |
Commercial Transport | |
common pool resource | |
commons | |
community detection | |
Commute | |
Commuter Personas | |
Comparative analysis | |
Comparative developed/developing cities | |
Complex network | |
Composite indicator | |
Conceptual framework | |
Conference opening | |
Congestion | |
Congestion index | |
Connected and automated vehicles | |
Connected Autonomous Vehicle | |
Connected Vehicles | |
Consolidation | |
Consolidation-Based Transportation | |
containerized goods | |
control algorithm | |
Control strategies | |
Control Transitions | |
ConvLSTM2D | |
Cooperative Intelligent Transport Systems | |
Coordination | |
Corridor | |
cost allocation | |
Covariate Analysis | |
COVID-19 Impact | |
COVID-19 Pandemic | |
Crash Estimation | |
Crash Hot Spot | |
Crash Type Modeling | |
Crashes | |
Critical gap | |
critical maneuvers | |
Critical set | |
Crowd Logistics | |
Crowd-shipping | |
Crowdshipping | |
Crowdsourcing | |
Cyberattacks | |
Cycling | |
Cycling Infrastructure | |
Cyclists' route choice | |
D | |
data analytics | |
Data integration | |
Data Quality | |
Data Quality Framework | |
data-driven | |
Data-Driven Actions | |
data-driven lane changing analysis | |
Data-driven network assignment | |
Data-driven strategies | |
Data-Driven Transit Planning | |
dataset analysis | |
Decarbonization | |
Decarbonization | |
Deceleration Rate to Avoid Collision (DRAC) | |
Decision field theory | |
Decision process heterogeneity | |
Decision Support | |
Decision Support System | |
Decision Support System | |
Decision Support Systems | |
Decision-Focused Learning (DFL) | |
Decision-making | |
decision-support tool | |
Deep Embedded Clustering | |
Deep Embedded Clustering | |
Deep Generative Machine Learning | |
Deep learning | |
Deep neural networks | |
Delay | |
Delay Index | |
Demand | |
Demand estimation | |
Demand forecasting | |
Demand management | |
Demand matrix | |
Demand modelling | |
demand responsive transport | |
Demand-Responsive Transport (DRT) | |
Dendrograms | |
depot selection | |
Destination choice set generation | |
determinants | |
Developing countries | |
Difference-in-Differences | |
digital twin | |
Digital Twinning | |
Discrete choice | |
Discrete Choice Experiment | |
Discrete Choice Model | |
Discrete choice modelling | |
Discrete choice models | |
discrete event systems | |
Discrete mixture models | |
dispatching | |
Disruption management | |
disruptive events | |
Domestic flights | |
Driver behavior | |
Driver Behavior Analysis | |
Driver mental state | |
Driver simulation | |
Driver Training Programs | |
Driverless transit acceptance | |
driving automation | |
driving behavior | |
Driving Behavior Analysis | |
Driving behaviour | |
driving comfort | |
Driving profiles | |
Driving Simulations | |
Driving Simulator | |
Drone | |
drones | |
Drug trafficking | |
dynamic model | |
Dynamic network loading | |
Dynamic Prediction | |
Dynamic Reallocation | |
Dynamic Time Warping (DTW) | |
Dynamic topic modelling | |
Dynamic traffic assignment | |
Dynamic Traffic Control at Intersections | |
E | |
E-bike | |
e-delivery | |
e-delivery channel | |
e-scooters | |
Eco-routing | |
Econometric Models | |
Econometrics | |
Economic benefits | |
economic impact assessment | |
Economic Participation | |
Efficiency | |
elderly people | |
Electric bus | |
Electric Mobility | |
Electric Motorcycle | |
Electric Vehicle | |
Electric Vehicle Routing | |
Electric vehicles | |
Embeddings | |
Emerging Economies | |
Emerging mobility | |
emission intensity | |
Emissions | |
Emissions estimation | |
Emotion recognition | |
Empirical Mode Decomposition (EMD) | |
employment | |
EMS | |
end consumer | |
End-to-end journey | |
Endogeneity | |
Energy Aware Optimization | |
Energy consumption | |
Energy consumption estimation | |
Energy use | |
Environmental awareness | |
Environmental Driving Compliance | |
Environmental impact | |
Environmental impacts | |
EnViver | |
Equity | |
Equity | |
Equity indicator | |
ERTMS | |
estimation | |
EU ETS | |
evaluation | |
evolutionary game theory | |
eVTOL selection | |
Exclusive motorcycle lane | |
Exhaust emissions | |
experience/mood | |
Exploratory Factor Analysis | |
Extreme Value Theory | |
Extreme Weather | |
F | |
Factor Analysis | |
Fare Evasion | |
FCO | |
field operational | |
Financial Modelling | |
fleet assignment | |
Fleet Cap | |
Fleet Performance | |
Flexible mobility | |
flexible transport | |
floating car data | |
Floating Car Observer | |
fluidity | |
Following behaviour | |
Food Security | |
fragmentation | |
Free energy principle | |
free-floating | |
freeway control systems | |
Freeway Traffic | |
Freeway Traffic Control | |
Freight | |
freight deliveries | |
freight transport | |
Frequency-Based Services | |
fuel efficiency | |
Future | |
Futuristic travel modes | |
G | |
Gaussian dispersion model | |
Gender differences | |
Gender Equality | |
General Bikeshare Feed Specification | |
Generational differences | |
Generative Adversarial Networks | |
Generative Artificial Intelligence for Tabular Data | |
geofencing | |
Germany | |
GHG emissions | |
Gini equaltiy index | |
Gini index | |
GIS | |
Global South | |
Goods | |
Google Maps | |
governance | |
GPS data | |
GPS data | |
GPS data analysis | |
Graph based method | |
Graph Convolution Network (GCN) | |
Graph Neural Network | |
Graph-based heuristic | |
Gravity model | |
Greenhouse Gas Emissions | |
gross value added | |
Ground times | |
GRU | |
GTFS | |
H | |
Haddon matrix | |
healthcare facilities | |
Heritage Cities | |
Heterogeneity | |
heuristic algorithm | |
Heuristics | |
Hierarchical clustering | |
Hierarchical Multinomial Logit Model | |
hierarchical public transport network design | |
Hierarchy of needs | |
Highway work zone | |
Hub and spoke | |
Hubs | |
Human Factors | |
Hybrid model | |
hybrid petri nets | |
hydrogen refuelling stations | |
hydrogen-powered trains | |
I | |
impact assessment | |
Inauguration | |
incentive scheme | |
inclusive transport | |
Indicators | |
Informal ridesharing | |
Information Leakage | |
infrastructure | |
infrastructure design | |
Inland Water Transport (IWT) | |
Inland waterway transport | |
Innovative transportation/ logistics solutions | |
input-output analysis | |
Input-Output modeling | |
Integer linear programming | |
Integrated Choice and Latent Variable | |
Integrated mobility solutions | |
Integrated Optimization | |
Integrated Transport | |
Integration | |
Intelligent Driving Model (IDM) | |
intelligent transport systems | |
Intelligent transportation system | |
Intelligent transportation systems | |
Intention to use | |
Intention to use WSB | |
Intercity bus | |
Intermodal Barge Transportation | |
Intermodal mobility | |
Intermodal Routing | |
intermodal transport | |
intermodal transport chains | |
Interpretable Machine Learning | |
Intersections | |
inverse optimization | |
IV-approach | |
J | |
Job mobility | |
joint accessibility | |
joint activities | |
Just-in-Time | |
K | |
K-means clustering | |
K-medoids clustering | |
L | |
laboratory experiment | |
Land Use | |
Large events | |
Large language model | |
large-scale events | |
last mile | |
Last mile delivery | |
last train problem | |
Last-Mile Delivery | |
Last-mile distribution | |
Last-Mile Logistics | |
Latent Class AFT | |
Latent Class Analysis | |
Latent Class Choice Model (LCCM) | |
Lateral passing distance | |
Lateral placement | |
Learning vector quantization (LVQ 2.1) | |
level of formalisation | |
Level of service | |
Level road crash severity (LRCS) | |
Light electric vehicles | |
Linear programming | |
liveable neighbourhood | |
local government units | |
Local Organising Committee | |
localization | |
Localized Rain Events | |
Logistic Regression | |
Logistic regression model | |
Logit | |
Long distance travel | |
Long Short-Term Memory (LSTM) | |
Long-distance travel | |
longitudinal study | |
Low Emission Zones (LEZs) | |
low traffic neighbourhoods | |
low-density areas | |
LSTM | |
LSTM model | |
LWR theory | |
M | |
MaaS pilot | |
Machine learning | |
machine learning | |
Machine Learning in Tourism | |
Machine learning metrics | |
machine learning models | |
Macrosimulation | |
Macrosimulation model | |
Madrid | |
maintenance | |
maintenance planning | |
manual and automatic transmissions | |
Maritime Logistics Operations | |
market saturation | |
Mathematical Psychology | |
MATSim | |
MATSim Open Kyoto Scenario | |
MDCEV | |
Mean excess noise | |
Mental model | |
Metaheuristic | |
methodological survey | |
Micro-Mobility | |
Micro-mobility | |
Micromobility | |
micromobility sharing | |
microscopic traffic data | |
Microscopic Traffic Flow Simulation | |
Microsimulation | |
Microsimulation model | |
Microtransit | |
middle mile | |
Minimum safe distance | |
Missing value imputation | |
Mixed Integer Linear Programming | |
Mixed Integer Linear Programming (MILP) | |
mixed traffic | |
Mixed traffic | |
Mixed-integer linear programming | |
mobile phone data | |
Mobile phone data | |
Mobility analysis | |
Mobility as a Service | |
Mobility behavior | |
Mobility Entropy | |
mobility of care | |
Mobility On-Demand | |
Mobility Patterns | |
Mobility-based charging | |
modal shift | |
Modal Split | |
Mode choice | |
mode choices | |
Mode confusion | |
Mode preference | |
mode shift | |
Model performance | |
Modeling | |
Moderation Process | |
modularity | |
Motorhome Tourism | |
moving block signalling | |
MTW behaviour | |
Multi-Agent Systems | |
Multi-Agent Traffic Coordination | |
Multi-class features | |
Multi-Criteria Decision Analysis | |
Multi-modal transport | |
Multi-Modal Transportation | |
Multi-objective model | |
Multi-Objective Optimization | |
Multi-Source Uncertainties | |
Multicriteria Route Planning | |
Multilevel Logistic Regression Modelling | |
Multimodal hub | |
Multimodal mobility hub | |
Multimodal transport | |
multimodal transport network | |
Multimodal trip | |
multimodality | |
Multimodality | |
Multinomial Logistic Regression | |
Multinomial Logit | |
Multiple Criteria Decision Aiding | |
Multiple Streams Framework | |
Multivariate time series | |
N | |
Nationalisation of Losses | |
Navigability and Demand Uncertainties | |
Nested logit | |
Network analysis | |
Network Design | |
Network Effects | |
Network impacts | |
Network Optimization | |
network planing | |
Network Resilience | |
network science | |
Network vulnerability | |
Network-wide traffic estimation | |
Neural Networks | |
Neuroscience | |
New models | |
Next Trip Prediction | |
Node model | |
Noise emissions | |
Non-CO2 Effects | |
non-driving-related task | |
non-electrified railway line | |
NSGA-II | |
O | |
object detection | |
OD estimation | |
OD Matrix Calibration | |
on-demand feeder | |
On-demand mobility | |
On-demand mobility | |
On-demand service | |
On-Demand transit | |
On-site questionnaire | |
operational speed | |
operational stability | |
optimal location problem | |
Optimisation | |
Optimisation | |
Optimization | |
optimization | |
Optimization Heuristics | |
Optimization problem | |
Order Dispatching Problems | |
Ordered choice | |
Ordered Probability Models | |
Ordered probit model | |
Origin-destination estimation | |
Orthogonal Design | |
Over-Tourism | |
Overcrowding | |
Overcrowding Prevention | |
Overnight charging | |
overstaying behavior | |
P | |
P-Space | |
Parcel Delivery | |
parking | |
Parking | |
parking behaviors | |
Parking Zone | |
Pass-through | |
Passenger comfort | |
Passenger counts | |
passenger delay | |
Passenger flow | |
passenger railway transport | |
passenger services | |
passenger-oriented timetable models | |
path planning and design | |
Peak hour management | |
Pedestrian | |
Pedestrian destination choice | |
pedestrian flow management | |
Pedestrian safety-security | |
peer-to-peer car sharing | |
people with reduced mobility | |
Perceived accessibility | |
Perception of Public Transport Infrastructure | |
Perception-based tool | |
Phase Discrepency | |
Philosophy | |
Physical health | |
Physical Internet | |
Physics-informed computational graph | |
Physics-informed neural networks | |
physiological data | |
Plan Execution | |
PM2.5 | |
point system | |
points of interest | |
Policy adoption | |
policy analysis | |
Policy Regulation | |
Port operations | |
Ports | |
Portuguese context | |
post-pandemic | |
Precipitation | |
predictive modeling | |
Preference heterogeneity | |
Preferential change | |
Prevention | |
Price elasticity | |
Pricing | |
Pricing scheme | |
Principal Component Analysis (PCA) | |
Private car | |
Probabilistic modelling | |
Probability of failure | |
Psychological barriers | |
Psychological dimensions | |
Pubblic transport | |
Public acceptance | |
Public attitude | |
Public Bike Sharing | |
public charging station | |
public health | |
Public perception | |
Public Perceptions | |
Public Transit | |
Public Transit integration | |
Public Transit Network | |
Public Transport | |
Public transport | |
public transport reform | |
public transport system | |
Public transport users´ Clusters | |
Public Transportation | |
public-private partnership | |
Q | |
Quality indicators | |
R | |
rail transport system | |
rail vehicle autonomy | |
railway corridors | |
Railway network | |
Railway network resilience | |
Railway OPerations | |
Railway punctuality | |
railway traffic modelling | |
railways | |
railways | |
Ramp Metering | |
random forest | |
Random Utility Model | |
real-time dashboard | |
Real-time Railway Traffic Management Problem | |
Recurrent and non-recurrent traffic conditions | |
Recurrent Neural Network (RNN) | |
Recursive Structures | |
Regional aircraft | |
Regional economic development | |
Regional Input-Output tables | |
Regression | |
regression modelling | |
Reinforced Learning | |
Reinforcement learning | |
Reinforcement Learning | |
relocation intentions | |
requests probability | |
residential location choice | |
Residential mobility | |
resilience | |
Resilience-based mental health | |
Reuse and recycling | |
Revealed Preference | |
revealed preferences | |
Revenue Management | |
Ride-Hailing Services | |
Ride-sharing | |
Ridership | |
ridership estimation | |
Risk | |
risk analysis | |
Risk mapping | |
Risk perception | |
Risk Perception (RP) | |
Risk preferences | |
Road accident | |
Road Categorization | |
Road pricing | |
Road Safety | |
Road safety | |
Road traffic analysis | |
road transport combinations | |
Rolling horizon | |
Route choice | |
Route Guidance | |
routing | |
rural cycling | |
Rural MaaS | |
S | |
SAE Level 3 | |
Safety envelop | |
satellite images | |
scenario planning | |
Schedule-Based Services | |
Scheduled Service Network Design | |
Scheduling problem | |
Scooter parking zones | |
Seat allocation | |
Seat type | |
Self-Attention | |
Self-Organizing Map | |
Semi-Automated Vehicles | |
Sense of community | |
Sensitivity analysis | |
sequence analysis | |
service contract | |
Service hubs accessibility | |
Service network design | |
Service Quality | |
service reliability | |
Set optimization | |
SHAP Analysis | |
SHAP value | |
Shared Autonomous Electric Vehicles (SAEV) | |
Shared mobility | |
Shared mobility | |
Shared scooters | |
Shared space | |
shared transport services | |
Signalized Intersection | |
Significant Inputs | |
Simulation | |
Simulation model | |
Simulation-Optimization Algorithm | |
Sleeper bus | |
Sliding Window | |
Smart and Sustainable Mobility | |
Smart mobility | |
Social media data | |
social networks | |
Social sustainability | |
socio-demographic factors | |
socio-economic cost | |
Sociodemographic segmentation | |
Socioeconomic analysis | |
Soft mobility | |
Software-defined networking | |
Solo driving | |
SP survey | |
Spatial injustice | |
Spatial-Temporal Analysis | |
Spatio-temporal demand | |
Spatio-temporal heterogeneity | |
Spatio-Temporal Lag Effect | |
Speed Limit Optimization | |
Speed reduction | |
Stakeholder Influence | |
Stakeholder Theory | |
Stated choice experiment | |
Stated preference | |
stated preferences | |
Static traffic assignment | |
Statistical modeling | |
Stealthy Animals Robot | |
stopped delays | |
Stowage Planning | |
strategic | |
Strategy | |
Structural equation modeling | |
Structural equation modelling | |
Structural Equation Modelling | |
Structural Equation Modelling (SEM) | |
Structural gravity model | |
SUMO | |
Supervised Learning | |
survey | |
Survey-based analysis | |
Sustainability | |
Sustainability | |
sustainability analysis | |
sustainability indicators | |
sustainable and equitable mobility | |
Sustainable coffee supply chain | |
Sustainable commuting | |
Sustainable Logistics | |
Sustainable mobility | |
Sustainable Mobility | |
sustainable traffic solutions | |
Sustainable Transport | |
sustainable transport | |
Sustainable Transportation | |
Sustainable Travel | |
Sweden | |
Switches and Crossings | |
Synthetic Data | |
Synthetic Population | |
system dynamics | |
System Thinking | |
Systems Thinking | |
T | |
T-red | |
Tactical Planning | |
Tanker market | |
Task allocation | |
taxes | |
Taxi-Hailing Aggregator | |
TBA1 | |
TBA2 | |
TBA3 | |
Team Orienteering Problem | |
Technologies and crashes | |
technology acceptance | |
Technology Asessment | |
Telework | |
Temporal demand analysis | |
Temporal Robustness | |
test 1 | |
test 2 | |
test 3 | |
Theory of Planned Behaviour | |
three-dimensional risk assessment model | |
Three-phase Traffic Classification | |
three-phase traffic theory | |
time gap distributions | |
Time Management | |
Time Poverty | |
time series | |
Time series analysis | |
time series data | |
Time slicing | |
time use | |
Time windows | |
time-series analysis | |
Timetable development | |
Timetable Robustness | |
timetabling | |
Tom Tom Traffic Data | |
Tourism Pricing Models | |
Tourist agent modeling | |
Trade | |
Traffic analyser | |
Traffic Breakdown | |
Traffic Flow Modelling | |
Traffic Flow Optimization | |
Traffic Flow Prediction | |
traffic flow simulation | |
Traffic forecasting | |
Traffic impacts | |
Traffic management | |
Traffic management | |
Traffic Modeling | |
Traffic prediction | |
traffic reduction | |
Traffic Safety | |
traffic simulation | |
Traffic state data | |
Train arrivals | |
Train delays | |
Train Rescheduling | |
Train Routing Selection Problem | |
train stations | |
train-following dynamics | |
Trajectory | |
Trajectory dataset | |
Transaction data | |
Transfer learning | |
Transformers | |
Transit Accessibility | |
Transit discount | |
Transit Equity | |
Transit network design and frequency setting problem | |
Transit regularity | |
Transit-Oriented Development (TOD) | |
transport demand modeling | |
transport indicators | |
transport infrastructure | |
Transport infrastructure impact assessment | |
Transport Investment Priorities | |
Transport Justice | |
Transport Modelling | |
transport modelling tools | |
transport on demand | |
transport planning | |
Transport Policy | |
transport scenarios | |
transport service planning | |
Transportation business | |
Transportation equality | |
Transportation mode choice | |
Transportation policies | |
Transportation safety | |
Transportation sustainability | |
transportation systems | |
Travel | |
travel app | |
Travel Behavior | |
Travel behaviour | |
travel behaviours | |
travel demand | |
travel forecasting | |
Travel time | |
Travel-time dynamics | |
Trip planner | |
Truck GPS data | |
Truck operation patterns | |
Two-lane highways | |
U | |
UAM acceptance | |
UAM adoption | |
UAV | |
ublic Transport | |
Unbalanced data | |
Uncertainty | |
Uncertainty propagation | |
Uncontrolled intersections | |
Unified model | |
Unified Theory of Acceptance and Use of Technology (UTAUT) | |
Urban Accidents | |
urban air mobility | |
urban air mobility (UAM) | |
urban freight | |
Urban livability | |
Urban logistics | |
Urban Mobility | |
Urban mobility congestion in Kyoto | |
urban mobility infrastructure | |
Urban road network | |
Urban traffic noise | |
urban transport | |
Urban Transportation | |
Urban trips | |
Urban Vehicle Access Regulations | |
urban-rural migration | |
User acceptance | |
user perceptions | |
User travel behaviour | |
User-Centered Design | |
Users | |
Users’ experience | |
UTAUT-2 | |
utility-based approach | |
UVAR | |
V | |
Valence framing | |
value of time | |
Value of Travel Time Savings | |
Variable Message Signs | |
Variable Speed Limiting | |
Vehicle CO2 Emission | |
Vehicle routing | |
Vehicle Scheduling Optimization | |
Vehicle Tours | |
Vehicle Trajectory Analysis | |
Vehicle type classification | |
Virtual Reality | |
Vissim | |
visual manual and mental load | |
Visum | |
Volatility | |
VRU comfort | |
vulnerable road user | |
Vulnerable road users | |
Vulnerable Users | |
W | |
Walkability | |
walking | |
Walking school bus | |
Walking School Bus(WSB) | |
Water Level Fluctuations | |
Weather-related disruption | |
Welcome | |
Welcome from EWGT | |
Welcome from hosting University | |
wicked problems | |
Willingness to pay | |
Wireless Power Transmission | |
Women’s Mobility | |
Work-Life Balance | |
Workers' safety | |
Workload Dynamics | |
Y | |
YOLO (You Only Look Once) | |
Z | |
Zero Emission Buses | |
Zero-Emission Cold Chain | |
zero-inflated regression |