Evaluation of urban bus service reliability on variable time horizons using a hybrid deep learning method
Unreliable transit services can negatively impact transit ridership and discourage
passengers from regularly choosing public transport. As the most important content of bus …
passengers from regularly choosing public transport. As the most important content of bus …
[PDF][PDF] A review of travel and arrival-time prediction methods on road networks: classification, challenges and opportunities
Transportation plays a key role in today's economy. Hence, intelligent transportation systems
have attracted a great deal of attention among research communities. There are a few …
have attracted a great deal of attention among research communities. There are a few …
Multi-attention graph neural networks for city-wide bus travel time estimation using limited data
An important factor that discourages patrons from using bus systems is the long and
uncertain waiting times. Therefore, accurate bus travel time prediction is important to …
uncertain waiting times. Therefore, accurate bus travel time prediction is important to …
[HTML][HTML] Estimating on-board passenger comfort in public transport vehicles using incomplete automatic passenger counting data
The prevention of crowding inside buses, trams and trains is an important component of on-
board passenger comfort and is central to the provision of good public transport services. In …
board passenger comfort and is central to the provision of good public transport services. In …
Multimodal urban transportation system for medium size cities
N Umrigar, JR Pitroda - Journal of The Institution of Engineers (India) …, 2023 - Springer
Due to rising population and traffic congestion, the development of multimodal transportation
networks has become increasingly vital. The Vadodara city urban transportation system …
networks has become increasingly vital. The Vadodara city urban transportation system …
[HTML][HTML] Vessel estimated time of arrival prediction system based on a path-finding algorithm
Port operation efficiency has grown in importance as container volumes and vessel sizes
have increased. For improved port operations efficiency, the estimated time of arrival (ETA) …
have increased. For improved port operations efficiency, the estimated time of arrival (ETA) …
Electric Kickboard Demand Prediction in Spatiotemporal Dimension Using Clustering‐Aided Bagging Regressor
PW Khan, SJ Park, SJ Lee… - Journal of Advanced …, 2022 - Wiley Online Library
Demand for electric kickboards is increasing specifically in tourist‐centric regions worldwide.
In order to gain a competitive edge and to provide quality service to customers, it is essential …
In order to gain a competitive edge and to provide quality service to customers, it is essential …
Travel time prediction for congested freeways with a dynamic linear model
S Kwak, N Geroliminis - IEEE transactions on intelligent …, 2020 - ieeexplore.ieee.org
Accurate prediction of travel time is an essential feature to support Intelligent Transportation
Systems (ITS). The non-linearity of traffic states, however, makes this prediction a …
Systems (ITS). The non-linearity of traffic states, however, makes this prediction a …
[HTML][HTML] A Kalman Filter Scheme for the Optimization of Low-Cost Gas Sensor Measurements
Air pollution, which is mainly caused by industrialization, intensive transportation, and the
heating of buildings, is one of the most important problems in large cities because it …
heating of buildings, is one of the most important problems in large cities because it …
Probabilistic forecasting of bus travel time with a Bayesian Gaussian mixture model
Accurate forecasting of bus travel time and its uncertainty is critical to service quality and
operation of transit systems: it can help passengers make informed decisions on departure …
operation of transit systems: it can help passengers make informed decisions on departure …