TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
| A | |
| accelerometers | |
| Acceptability | |
| accident | |
| accident analysis | |
| Active transportation | |
| advanced large-scale communications infrastructure | |
| Advanced mobility data collection | |
| Agent-based modeling | |
| agent-based modelling | |
| agent-based simulation | |
| Agent-based Transportation Simulation | |
| Agility | |
| AHP | |
| air pollution | |
| Air travel demand | |
| Airline scheduling | |
| airline strategic planning | |
| Airport capacity | |
| Alighting | |
| alternative fuel vehicles | |
| Alternative fuels | |
| Ant Colony Optimization | |
| artificial intelligence | |
| audio processing | |
| automated vehicle monitoring | |
| automated vehicles | |
| Automation | |
| Autonomous Buses (ABs) | |
| autonomous delivery robot | |
| autonomous vehicle | |
| autonomous vehicles | |
| Autorickshaws | |
| aviation | |
| AVs-only zone | |
| B | |
| belly cargo | |
| benchmarking | |
| Bi-dimensional model | |
| Bi-level optimization | |
| bicycle sharing | |
| bicycles | |
| bidimensional model | |
| bidimensional statistical analysis | |
| big data | |
| Bike Network Design | |
| Bike Sharing | |
| Bike-sharing | |
| Bikeability | |
| Biplots | |
| Black spot | |
| Boarding | |
| Budapest | |
| bus bunching | |
| bus driver workload | |
| bus lane | |
| bus travel time predication | |
| C | |
| car driver workload | |
| Car-sharing | |
| carsharing | |
| carsharing systems | |
| case studies | |
| Catchment areas | |
| Cell Transmission Model | |
| Cellular Automata | |
| Charging | |
| City logistics | |
| city parameters | |
| Climate change mitigation | |
| cluster analysis | |
| clustering of intersections | |
| Clustering techniques | |
| collaboration | |
| Comfort | |
| Communication platform | |
| Commuter train | |
| Complex Intersections | |
| Compliance behavior | |
| Conceptual Data Model | |
| Conflicts | |
| connected and automated vehicles | |
| Connected automated vehicles | |
| consolidation | |
| Container port | |
| continuous approximation | |
| continuum approximation | |
| cost-effectiveness analysis | |
| COVID-19 | |
| Covid-19 pandemic | |
| Crash prediction model | |
| Crash Risk Probability | |
| Crew scheduling | |
| Crew training | |
| Critical Rainfall Conditions | |
| Cruise passenger | |
| cycling | |
| cyclist | |
| D | |
| Data Envelopment Analysis | |
| data fusion | |
| decarbonization | |
| Decentralised Supply Chain | |
| decision determinants | |
| decision making | |
| Deep Neural Networks | |
| Deep Reinforcement Learning | |
| Delays | |
| demand | |
| Demand models | |
| Developing Countries | |
| Dial-a-Ride Problem | |
| difference-in-differences models | |
| digitalization | |
| Discrete choice modeling | |
| Drag coefficient | |
| driveless technology | |
| Driverless car | |
| driving simulator | |
| Driving Volatility | |
| Dynamic analysis | |
| dynamic traffic assignment | |
| dynamics | |
| E | |
| e-bike | |
| e-commerce | |
| e-mobility | |
| e-scooter | |
| e-scooters | |
| e-tourism | |
| Eco-friendly paths | |
| eHighway system | |
| electric kick-scooter | |
| electric scooters | |
| electric vehicles | |
| emerging technologies | |
| Emissions | |
| Employment Cores | |
| Energy consumption | |
| Energy modeling | |
| Energy policy | |
| environmental impact | |
| Equilibrium model | |
| Equity | |
| Estimated time of arrival | |
| Ethanol | |
| Evaluation of a General Urbanistic Plan | |
| Extended four step model | |
| Externalities | |
| Extreme value theory | |
| F | |
| fatalities | |
| Fleet Composition | |
| Flight connection strategy | |
| Floating Car Data | |
| floating phone data | |
| Flow-based | |
| food retail distribution | |
| Freight distribution | |
| freight transport | |
| Freight Urban distribution | |
| frequency response | |
| Frequent flyer passengers | |
| Fuzzy AHP | |
| fuzzy logic | |
| Fuzzy-Delphi | |
| G | |
| galvanic skin resistance | |
| Gear-shift indicator | |
| gender mobility | |
| general policy evaluation | |
| general policy improvement | |
| Generalized Linear Regression Modelling (GzLM) | |
| Genetic algorithm | |
| Geographically-weighted regression | |
| Geometric design consistency | |
| geometric matrix completion | |
| Georeferenced data | |
| GIS | |
| GIS tools | |
| goods vehicles | |
| GPS trace | |
| GSOM model | |
| H | |
| HBEFA | |
| heart rate | |
| Heterogeneous Fleet | |
| heterogeneous traffic | |
| Heuristic | |
| Heuristics | |
| highway assist | |
| highway geometry | |
| Hilly terrain | |
| Home-work commuting patterns | |
| Horizontal curves | |
| Household travel diaries | |
| hybrid | |
| Hybrid metaheuristic | |
| I | |
| identification | |
| image processing | |
| Implementation barriers | |
| implicit path choice modelling | |
| inclusive mobility | |
| Indicators | |
| Inductive Loops | |
| inertia | |
| informal ridesharing | |
| Integer Linear Programing | |
| Integer programming | |
| integrated urban logistics | |
| intelligent mobility | |
| intelligent transport system | |
| Intelligent Transportation System | |
| Intelligent Transportation Systems | |
| Intercity corridors | |
| intermodal dispatching | |
| Internal observable variables | |
| Internally Observable Variables | |
| intersection improvement | |
| Intersection Management | |
| intersection model | |
| J | |
| jerk | |
| Jobs-housing spatial relations | |
| Joint-activity generation | |
| K | |
| Kalman filter | |
| Karush-Kuhn-Tucker conditions | |
| KDE | |
| Key performance indicators | |
| Kinematic variables | |
| Kinetic variables | |
| L | |
| Large Neighborhood Search | |
| Large networks modeling | |
| larger scale | |
| last mile delivering | |
| last-mile logistics | |
| Latent Class Model (LCM) | |
| latent classes | |
| lateral control | |
| LCX | |
| leaky coaxial cable | |
| Leisure trip | |
| likert scale | |
| Linear programming | |
| living lab | |
| Location Routing Problem | |
| lockdown | |
| logistic regression | |
| logistic regressive model | |
| logistics | |
| logistics micro-hub | |
| logistics network | |
| logistics network optimization | |
| long short-term memory neural network | |
| Low-Cost | |
| LPG vehicles adoption | |
| M | |
| MaaS Membership | |
| machine learning | |
| Machine Learning models | |
| Machine learning-based applications | |
| macro-cell | |
| Macroscopic Fundamental Diagram | |
| macroscopic model | |
| manual survey | |
| map matching | |
| Mapping | |
| Markov Chain Monte Carlo | |
| Markov process | |
| Math-heuristics | |
| mathematical model | |
| MATSim | |
| MCDA | |
| Mediterranean sea | |
| Meeting-Points | |
| Mesoschopic | |
| Meta-Level Reasoning | |
| Metaheuristic | |
| Metro | |
| Micro driving behavior | |
| micro mobility | |
| Micro-mobility | |
| micromobility | |
| microscopic agent-based transport simulation | |
| Microsimulation | |
| missing data imputation | |
| mixed-driving environment | |
| Mixed-Integer Linear Program | |
| Mixed-Integer Linear Programming | |
| Mixed-Integer programming | |
| mobile ticketing | |
| Mobility | |
| Mobility as a Service | |
| Mobility as a service (MaaS) | |
| mobility demand | |
| mobility package | |
| mobility survey | |
| Mobility-as-a-Service | |
| Modal shift | |
| Modal Split | |
| Mode Choice | |
| Mode choice dynamics | |
| Model exploration | |
| Monitoring | |
| monte carlo | |
| Monte-Carlo Simulation | |
| motion control | |
| Motorized Two-wheelers | |
| Multi-airport systems | |
| multi-criteria | |
| Multi-trips | |
| multi-vehicle assignment | |
| Multiagent Systems | |
| multicollinearity | |
| Multidimensional Indicator | |
| multilayer perceptrons | |
| multimodal transportation model | |
| Multimodal transportation system | |
| Multimodality | |
| Multinomial logit Model | |
| Multiple trains | |
| N | |
| network design | |
| network impacts | |
| Neural Networks | |
| Noise | |
| non-exhaust emissions | |
| O | |
| objective indicators | |
| OD matrix estimation | |
| On-Demand Mobility | |
| on-demand mobility service | |
| online grocery shopping (OGS) | |
| Operating speed | |
| Optimal control | |
| Optimization | |
| Ordered probit models | |
| Organizational adoption | |
| Output Variation | |
| P | |
| panel data | |
| parcel deliveries | |
| parcel lockers | |
| Pareto optimisation | |
| park and ride | |
| participation | |
| Passenger compensation | |
| path choice | |
| path disutility | |
| path utility | |
| Pedestrian feelings | |
| pedestrian mobility | |
| penetration rate | |
| Personal-interview | |
| physical grocery shopping (PGS) | |
| physiological measures | |
| platform characteristics | |
| platooning | |
| Platoons | |
| PM | |
| Policy | |
| Policy Gradient Algorithm | |
| policy measures | |
| pollutant emissions | |
| Post Encroachment Time | |
| precision teaching | |
| predicting | |
| Predictive Models | |
| principal component analysis | |
| Problem decomposition | |
| Process Discovery | |
| Promises and uncertainties | |
| PTV Viswalk | |
| Public health | |
| Public sector innovation | |
| Public transport | |
| Public transport demand | |
| Public transport disruption | |
| public transportation | |
| Punctuality | |
| purchase intentions | |
| R | |
| radio coverage planning | |
| Rail transport | |
| Rail Transportation | |
| Railway | |
| Railway Crew Scheduling | |
| railway traffic | |
| Railway traffic management | |
| Railway Traffiic Management Systems | |
| Random parameters ordered probit | |
| Random Utility Maximization models | |
| rate of eye blinking | |
| real-time conflict prediction | |
| real-time re-routing | |
| real-time re-scheduling | |
| Real-time scheduling | |
| Real-World Application | |
| recognition | |
| regional networks | |
| regional transportation model | |
| Regression | |
| regression analysis | |
| regression model | |
| Reinforcement Learning | |
| repositioning | |
| reservoir | |
| ride pooling | |
| Ridesharing | |
| right turn | |
| Rio de Janeiro state | |
| Road | |
| road accidents | |
| road crash barrier | |
| Road Pricing Scheme | |
| road safety | |
| Road signs | |
| Road transport | |
| Roundabout | |
| route advice | |
| Route planner | |
| Route planning | |
| Routing | |
| Routing algorithms | |
| S | |
| Safety | |
| Safety Surrogate Measures (SSMs) | |
| scaling | |
| Scheduling and optimization of transportation systems | |
| Self-hubbing | |
| Sensibility analysis | |
| Sensors and automatic data collection methods | |
| Service quality | |
| Shared autonomous vehicles | |
| shared mobility | |
| Shared use | |
| Shift2Rail | |
| Signal-controlled transport network | |
| Signalized Intersection | |
| simulation | |
| Smart Cities | |
| Smart cities and smart mobility | |
| Smart Drainage | |
| smart mobility | |
| Smart waste collection | |
| smartphone | |
| societal goals | |
| spatial analysis | |
| spatial data | |
| Spatial interaction models | |
| Spatial-temporal analysis | |
| spatiotemporal models | |
| speed | |
| stakeholders’ involvement | |
| Static analysis | |
| Statistical rigidity | |
| statistical significance of differences | |
| Stop-Distribution | |
| Structural Equation Modelling | |
| Sub-problem | |
| subjective indicators | |
| successor features | |
| suitability index | |
| SUMO | |
| Super-Poissonian states | |
| supervised machine learning | |
| Supply Chain Management | |
| Surrogate Safety Measures | |
| Sustainability | |
| sustainable mobility | |
| Synchronisation | |
| T | |
| Tailpipe Emissions | |
| Taxi fleet management | |
| Time Series Models | |
| Time-of-day | |
| TOE framework | |
| TOPSIS | |
| tour optimization | |
| tour planning | |
| tourism | |
| Tourists’ evacuation planning | |
| tradable credits | |
| traffic conflict technique | |
| traffic congestion | |
| traffic flow model | |
| traffic forecasting | |
| Traffic Light | |
| Traffic Management | |
| traffic model | |
| Traffic Noise | |
| Traffic Signal Control | |
| Traffic simulation | |
| traffic telematics | |
| train platforming problem | |
| Train re-scheduling | |
| Trajectory data mining | |
| Transit assignment | |
| transit-oriented development | |
| Transport Operations | |
| Transportation planning | |
| Transshipment | |
| travel behavior | |
| travel behaviour | |
| Travel Demand | |
| Travel demand modelling | |
| Travel survey | |
| travel time | |
| Travel time estimation | |
| Travel time reliability | |
| Trip Distribution | |
| Trip Production and Attraction | |
| trip-based MFD | |
| Truncated Negative Binomial Regression | |
| Two-echelon CVRP | |
| two-echelon network | |
| Two-lane highways | |
| Two-lane rural highways | |
| U | |
| Unobserved heterogeneity | |
| urban factors | |
| urban logistics | |
| urban mobility | |
| urban regulations | |
| usage patterns | |
| user groups | |
| Users perception | |
| user’s choice behavior | |
| utility function | |
| Utility maximisation | |
| V | |
| V2X | |
| Vehicle categories | |
| Vehicle dynamics | |
| Vehicle Emissions | |
| Vehicle Geolocation | |
| Vehicle Routing | |
| Vehicle Routing Problem | |
| Vehicle Routing Problem with Time Windows | |
| Vehicle Specific Power | |
| Vehicle Trajectory | |
| Vehicular Crowd-Sensing | |
| vehicular dynamics | |
| Vehicular headway modelling | |
| Vehicular Internet of Things | |
| Vehicular jerk | |
| Vehicular microstructure | |
| Vehicular traffic | |
| vibrations | |
| Virtual Reality | |
| Vissim | |
| VSP | |
| W | |
| waiting time | |
| walkability | |
| Walking | |
| Wayfinding | |
| Web-based survey | |
| Work Trips | |
| Workload constraints | |