[PDF][PDF] Analysis of bus travel characteristics and predictions of elderly passenger flow based on smart card data

G Cheng, C He - Electronic Research Archive, 2022 - aimspress.com
Preferential public transport policies provide an important social welfare support for travel by
the elderly. However, the travel problems faced by the elderly, such as traffic congestion …

Statistical analysis and prediction of regional bus passenger flows

Q Tan, X Ling, M Chen, H Lu, P Wang… - International Journal of …, 2019 - World Scientific
Urban bus transit is a major mode of transportation in modern cities and plays an important
role in mitigating the traffic pressure in urban road networks. We used smartcard data …

Passenger flow prediction using smart card data from connected bus system based on interpretable xgboost

L Zou, S Shu, X Lin, K Lin, J Zhu… - … and Mobile Computing, 2022 - Wiley Online Library
Bus passenger flow prediction is a critical component of advanced transportation information
system for public traffic management, control, and dispatch. With the development of artificial …

Passenger flow estimation based on smart card data in public transit

C Yu, Z He - CICTP 2014: Safe, Smart, and Sustainable Multimodal …, 2014 - ascelibrary.org
The high-efficiency operation of an urban public transport system is increasingly based on
advanced management and techniques. With the development and application of intelligent …

Analysis of elderly people's travel behaviours during the morning peak hours in the context of the free bus programme in Beijing, China

Y Zhang, E Yao, R Zhang, H Xu - Journal of Transport Geography, 2019 - Elsevier
With the development of social economy and health care technology, people are expected
to live longer, and the world's population tends to be ageing. As one of the services for …

[HTML][HTML] Analysis of the temporal characteristics of the elderly traveling by bus using smart card data

Z Shi, LSC Pun-Cheng, X Liu, J Lai, C Tong… - … international journal of …, 2020 - mdpi.com
Many cities around the world face the challenge of an aging population. A full understanding
of the mobility behavior characteristics of the elderly is one necessary and urgent …

Subway passenger flow prediction for special events using smart card data

E Chen, Z Ye, C Wang, M Xu - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
In order to reduce passenger delays and prevent severe overcrowding in the subway
system, it is necessary to accurately predict the short-term passenger flow during special …

Incorporating weather conditions and travel history in estimating the alighting bus stops from smart card data

T Tang, R Liu, C Choudhury - Sustainable Cities and Society, 2020 - Elsevier
Origin-destination flow of passengers in bus networks is a crucial input to the public
transport planning and operational decisions. Smart card systems in many cities, however …

[HTML][HTML] An intelligent time-series model for forecasting bus passengers based on smartcard data

CH Cheng, MC Tsai, YC Cheng - Applied Sciences, 2022 - mdpi.com
Public transportation systems are an effective way to reduce traffic congestion, air pollution,
and energy consumption. Today, smartcard technology is used to shorten the time spent …

Analysis and prediction of regional mobility patterns of bus travellers using smart card data and points of interest data

G Qi, A Huang, W Guan, L Fan - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Mobility patterns at region level can provide more macroscopic and intuitive knowledge on
how people gather in or depart from the region. However, the analysis and prediction of …