Travel pattern-based bus trip origin-destination estimation using smart card data. [PDF]
Smart card data are widely used in generating the origin and destination (O-D) matrix for public transit, which contains important information for transportation planning and operation.
Inmook Lee +4 more
doaj +2 more sources
Exploring Equity in Public Transportation Planning Using Smart Card Data [PDF]
Existing public transport (PT) planning methods use a trip-based approach, rather than a user-based approach, leading to neglecting equity. In other words, the impacts of regular users—i.e., users with higher trip rates—are overrepresented during ...
Kiarash Ghasemlou +2 more
doaj +2 more sources
Smart Card Data Mining of Public Transport Destination: A Literature Review
Smart card data is increasingly used to investigate passenger behavior and the demand characteristics of public transport. The destination estimation of public transport is one of the major concerns for the implementation of smart card data.
Tian Li +3 more
doaj +3 more sources
Pemanfaatan AES dengan Key Dinamis sebagai Metode Pengamanan Data pada Smart Card
Abstrak Terjadinya pandemi Covid-19 di hampir seluruh belahan dunia, termasuk Indonesia, menjadikan masyarakat mempunyai gaya hidup baru dalam bertransaksi untuk mencegah penularan virus sesuai anjuran Pemerintah.
Noprianto Noprianto +2 more
doaj +1 more source
Efektifitas Media Smart Card (Kartu Pintar) dalam Meningkatkan Hasil Belajar Pembelajaran Tematik
Tujuan penelitian ini adalah untuk mengetahui efektivitas media smart card (kartu pintar) pada pembelajaran tematik di MIN 2 Kota Padang. Penelitiannya merupakan lapangan yang bersifat deskriptif kualitatif.
Rendy Nugraha Frasandy +2 more
doaj +1 more source
Analyzing Behavioral Patterns of Bus Passengers Using Data Mining Methods (Case Study: Rapid Transportation Systems) [PDF]
The aim of analyzing passengers' behavioral patterns is providing support for transportation management. In other words, to improve services like scheduling, evacuation policies, and marketing, it is essential to understand spatial and temporal patterns ...
Amir Daneshvar +3 more
doaj +1 more source
Enriching smart card data with the trip purpose attribute
Planning public transport highly relies on the availability, quantity and quality of travel demand data of passengers. In the last two decades, smart card data has provided the opportunity to create comprehensive travel demand data as a byproduct of a ...
Hamed Faroqi +3 more
doaj +1 more source
This study aims to analyze the implementation of e-Government through Taspen Smart Card Program in pension fund services of State Civil Service. This study used a combination method of concurrent triangulation design (a balanced mix of quantitative and ...
Lukman Nul Hakim Amran Saputra +3 more
doaj +1 more source
A Deterministic Methodology Using Smart Card Data for Prediction of Ridership on Public Transport
In the present study, we propose a methodology that predicts the number of passengers on new public transport lines based on smart card data and an optimal path finding algorithm.
Minhyuck Lee, Inwoo Jeon, Chulmin Jun
doaj +1 more source
Mobility Irregularity Detection with Smart Transit Card Data [PDF]
Identifying patterns and detecting irregularities regarding individual mobility in public transport system is crucial for transport planning and law enforcement applications (e.g., fraudulent behavior). In this context, most of recent approaches exploit similarity learning through comparing spatial-temporal patterns between normal and irregular records.
Xuesong Wang 0002 +5 more
openaire +1 more source

