Improving the prediction of passenger numbers in public transit networks by combining short-term forecasts with real-time occupancy data

J Hoppe, F Schwinger, H Haeger… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Passengers of public transportation nowadays expect reliable and accurate travel
information. The need for occupancy information is becoming more prevalent in intelligent …

[PDF][PDF] A Comprehensive Comparative Analysis of Passenger Demand Prediction for Improving the Urban Bus Transportation System (UBTS)

AM Nayak, A Ladha, NK Chaubey - International Journal of …, 2022 - researchgate.net
Cities play a vital role in promoting commercial growth and wealth. The development of
cities is mainly based on their social, physical, and institutional infrastructure. In this …

MVHS-LSTM: The Comprehensive Traffic Flow Prediction Based on Improved LSTM via Multiple Variables Heuristic Selection

C Guo, J Zhu, X Wang - Applied Sciences, 2024 - mdpi.com
In recent years, the rapid growth of vehicles has imposed a significant burden on urban road
resources. To alleviate urban traffic congestion in intelligent transportation systems (ITS) …

Forecasting the number of vehicle kilometers by applying the autoregression model, using Warsaw trams as an example

M Grzelak, G Wiejak… - WUT Journal …, 2022 - pnpw-transport.publisherspanel.com
One of the biggest challenges of the 21st century is ecological responsibility. It also
concerns the sustainable development of transport and the reduction of threats related to the …