A deep learning approach to infer employment status of passengers by using smart card data

Y Zhang, T Cheng - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Understanding the employment status of passengers in public transit systems is significant
for transport operators in many real applications such as forecasting travel demand and …

Inferring social-demographics of travellers based on smart card data

Y Zhang, T Cheng - … Conference on Advanced Reserach Methods and …, 2018 - riunet.upv.es
[EN] With the wide application of the smart card technology in public transit system,
traveller's daily travel behaviours can be possibly obtained. This study devotes to …

Deep learning for demographic prediction based on smart card data and household survey

Y Zhang, T Cheng, N Sari Aslam - … of the 27th Conference on GIS …, 2019 - discovery.ucl.ac.uk
This study devotes to investigating the possibility of inferring demographics of passengers
using smart card data (SCD) and household survey. We first represent SCD as a two …

Conceptual Framework for Maximizing Service Catchment Area Between Rail Transit and Feeder Service Using Spatial Temporal Regression Technique

MA Halim, NA Rosni, TB Tsong - IOP Conference Series: Earth …, 2023 - iopscience.iop.org
The move towards a more sustainable transport mode is crucial in the Klang Valley by
incorporating feeder services to rail network stations. Feeder services will complement the …

[PDF][PDF] Inferring Demographics from Spatial-Temporal Activities Using Smart Card Data

Y Zhang, N Sari Aslam, T Cheng - 2020 - discovery.ucl.ac.uk
Demographic information (eg, age and income) has been shown great significance in
location-based services, behaviour study and other aspects, but it is usually hard to collect …

[PDF][PDF] CUSTOMER PROFILING TO IMPROVE SERVICE AND MANAGEMENT OF MOBILITY ON DEMAND (MOD) SYSTEMS

KTS Kumarage - 2019 - dl.lib.mrt.ac.lk
ABSTRACT A system which caters the mobility requirements/travel needs in real time with
user demand is known as Mobility on Demand system (MoDS). Global companies like Uber …