TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
| A | |
| Access mode | |
| Access modes | |
| Active modes | |
| Adaption time | |
| Adoption | |
| AFCS System | |
| Agent-Based Modeling | |
| Agent-based simulation modelling | |
| Alternative Graph | |
| Ant Colony Optimization | |
| Appraisal | |
| AV | |
| B | |
| Bayesian inference | |
| Bayesian machine learning | |
| Bayesian structural time series | |
| Berth assignment | |
| big data | |
| binary logistic regression | |
| Branch and trunk networks | |
| Bus bunching | |
| Bus dispatching | |
| Bus driver | |
| Bus Lane | |
| Bus Priority | |
| Bus Rapid Transit | |
| Bus Rapid Transit (BRT) | |
| Bus Ridership Prediction | |
| bus services | |
| Bus station | |
| Bus Transit Network Design | |
| Buses | |
| C | |
| CAD/AVL System | |
| Capacity constraint | |
| causal statistical modelling | |
| Choice modeling | |
| Choice set | |
| Clustering | |
| Column generation | |
| combinatorial optimization | |
| Computers | |
| congestion | |
| Congestion charges | |
| Consumer Behavior | |
| Cost-Benefit Analysis | |
| Covid | |
| COVID-19 | |
| Crew preferences | |
| Crew scheduling | |
| Critical mass | |
| Crowding | |
| Crowding prediction | |
| Crowding valuation | |
| D | |
| Data | |
| Data analysis | |
| data mining | |
| Data standardization | |
| day of the week | |
| Day-Off Patterns | |
| delay propagation | |
| demand responsive bus services | |
| Demand Responsive Transit (DRT) | |
| Demand Variation | |
| demand-responsive transportation | |
| Depot Management System (DMS) | |
| Dial-a-ride Problem (DARP) | |
| discrete choice model | |
| disruption | |
| Driver earnings | |
| Duopoly market | |
| dyadic analysis | |
| Dynamic mode decomposition | |
| Dynamic Traffic Assignment | |
| Dynamic Wireless Charging | |
| E | |
| elasticity | |
| Electric Bus | |
| Electric carsharing systems | |
| Electric Vehicle | |
| empirical study | |
| Equity | |
| F | |
| Fairness | |
| fare policy | |
| feeder service | |
| Feeder services | |
| First and Last Mile | |
| flexible bus | |
| flexible bus services | |
| flexible public transport | |
| Flexible Transportation Services (FTS) | |
| Future Transport Systems | |
| G | |
| Game theory | |
| Genetic Algorithm | |
| Google Popular Times | |
| GPS tracking | |
| GTFS-R | |
| H | |
| Headway Control Tool | |
| Headway regularity | |
| High-dimensional time series | |
| High-speed rail station | |
| Holding strategy | |
| Home location | |
| HOV Lane | |
| I | |
| Incident Detection | |
| Indian Railways | |
| Instance Reduction | |
| Integer programming | |
| Integrated Planning | |
| Integrated Vehicle and Crew Scheduling | |
| Integration of timetabling and passenger routing | |
| Intelligent Transportation System (ITS) | |
| ITS Learnings | |
| J | |
| Jerusalem | |
| L | |
| Latent class | |
| Level-of-service attributes | |
| Limited-stop service design | |
| Line Planning | |
| link travel time | |
| London | |
| Lower bound | |
| LSTM | |
| M | |
| Machine Learning | |
| Marginal Delay | |
| Market Scenarios | |
| MATSim | |
| missing value | |
| Mixed-Fleet | |
| Mixed-Integer Linear Programming | |
| Mobility as a Service (MaaS) | |
| mobility diversity | |
| Mobility network | |
| mobility platforms | |
| Modal choice | |
| Modal shift | |
| Mode choice | |
| modular autonomous vehicles | |
| Modular-vehicle transit service | |
| Multi line control | |
| Multi-Criteria Decision Making | |
| Multiline transit operations | |
| Multimodal Mobility | |
| Multimodal travel | |
| Multiobjective Optimization | |
| N | |
| Naïve approach | |
| Network Design | |
| network topology | |
| nonparametric statistics | |
| NUMBAT | |
| O | |
| On-demand mobility | |
| On-Demand Public Transportation | |
| on-demand transit | |
| On-time performance | |
| One-way carsharing | |
| OneBusAway | |
| Operations | |
| Optimal Location | |
| Optimisation | |
| Optimization | |
| Order cancellation | |
| origin-destination | |
| Origin-destination matrices | |
| P | |
| PageRank | |
| Pandemic Effects | |
| panel data | |
| Passenger assignment | |
| passenger behaviour | |
| passenger counts | |
| passenger distribution | |
| Passenger Information System | |
| Passenger walking distances | |
| passengers | |
| passive data | |
| Perception | |
| Periodic timetabling | |
| periodicity | |
| Personalised crew rostering | |
| Physiological data | |
| pickup and delivery problem | |
| Planning | |
| Point of Interest | |
| prediction | |
| Product Service System (PSS) | |
| Profit | |
| public bus transport | |
| Public Transit | |
| Public transit service operation | |
| Public transport | |
| public transport networks | |
| Public transport perceptions | |
| Public transport systems | |
| Public transportation | |
| R | |
| railway | |
| Railways | |
| Real-time crowding | |
| real-time Railway Traffic Management | |
| recoverability | |
| Regularity | |
| Reliability | |
| Rescheduling infrastructure | |
| resilience | |
| restoration | |
| Revealed Preference | |
| Ride-hailing | |
| ride-pooling | |
| Ride-sourcing | |
| Ridership | |
| Ridership forecasting | |
| Ridesourcing | |
| Risk analysis | |
| Robustness | |
| Rolling Stock | |
| Rostering | |
| Rotation Planning | |
| Route choice | |
| S | |
| schedule synchronization | |
| Scheduling and Dispatch (VPSD) | |
| season | |
| SEM-MIMIC | |
| service | |
| Shared Automated Vehicles | |
| Short-term and Medium-term | |
| single line | |
| Smart card data | |
| Smartcard data | |
| Solution-Based Sampling | |
| Solvability | |
| South America | |
| Spatial and temporal flexibility | |
| Spatiotemporal analysis | |
| Stated choice | |
| Stated choice experiment | |
| Stated preference | |
| Station catchment area | |
| stochastic optimization | |
| strategic alighting passenger | |
| Survey | |
| Sustainability | |
| synchronized transfers | |
| System Routes | |
| T | |
| time-dependent data | |
| Time-evolving system | |
| time-of-day | |
| timetable design | |
| Timetabling | |
| traffic | |
| train delay | |
| Train Routing Selection | |
| Train station choice | |
| Transit Application | |
| Transit ITS | |
| Transit Networks | |
| Transit ridership | |
| Transit station | |
| Transit system | |
| Transit trip assignment | |
| Transport demand modelling | |
| Transport Foresight | |
| Transportation | |
| Transportation Network Companies | |
| Travel Activity | |
| Travel behaviour | |
| Travel survey data | |
| travel time correlation | |
| Travel time density | |
| Travel time perception | |
| Trip Planner | |
| Trip Pricing | |
| U | |
| Uncertainty | |
| Urban mass transit | |
| Urban public transport | |
| urban rail | |
| User equilibrium | |
| V | |
| valid inequality | |
| variable neighbourhood search | |
| Vehicle formation | |
| Vehicle location data | |
| Vehicle Planning | |
| vehicle platooning | |
| Vehicle Scheduling | |
| W | |
| Waiting time | |
| Wifi/Bluetooth | |
| Z | |
| zoning | |
