Emerging technologies for smart cities' transportation: geo-information, data analytics and machine learning approaches

KLM Ang, JKP Seng, E Ngharamike… - … International Journal of …, 2022 - mdpi.com
With the recent increase in urban drift, which has led to an unprecedented surge in urban
population, the smart city (SC) transportation industry faces a myriad of challenges …

Using smart card data to develop origin-destination matrix-based business analytics for bus rapid transit systems: case study of Jakarta, Indonesia

M Wasesa, MA Afrianto, FI Ramadhan… - Journal of …, 2024 - Taylor & Francis
Bus rapid transit systems (BRT) have been an indispensable public transportation pillar,
especially in densely populated regions. Accurate insight into the BRT network's utilization is …

Modelling and forecasting bus passenger demand using time series method

A Cyril, RH Mulangi, V George - 2018 7th international …, 2018 - ieeexplore.ieee.org
Public bus transport demand modelling and forecasting is important for decision-making,
transport policy formulation, urban public transport planning and allocation of buses into the …

[HTML][HTML] Bus passenger demand modelling using time-series techniquesbig data analytics

A Cyril, RH Mulangi, V George - The Open Transportation …, 2019 - benthamopen.com
Background: Public transport demand forecasting is the fundamental process of transport
planning activity. It plays a pivotal role in the decision making, policy formulations and urban …

Deep-learning-based model for prediction of crowding in a public transit system

A Shrivastava, N Rawat, A Agarwal - Public Transport, 2024 - Springer
Crowding in public transport is one of the reasons that nudges road users to shift from public
transport to private modes of transport. To provide the passengers with a facility to plan their …

Bus demand forecasting for rural areas using XGBoost and random Forest algorithm

T Stadler, A Sarkar, J Dünnweber - … CISIM 2021, Ełk, Poland, September 24 …, 2021 - Springer
In recent years, mobility solutions have experienced a significant upswing. Consequently, it
has increased the importance of forecasting the number of passengers and determining the …

Demand-based model for line planning in public transport

A Cyril, RH Mulangi, V George - Transportation Research Procedia, 2020 - Elsevier
A public transport network serves the society effectively if it evolves in time according to the
changes in the population. Urban transportation problems of Thiruvananthapuram, a typical …

Estimation of Transit OD Matrix Using Boarding and Alighting Data: A Case Study of Haridwar-Rishikesh Metro Corridor

S Mohmmand, R Fedujwar, A Agarwal - International Conference on …, 2022 - Springer
Transit OD matrix is fundamental to service planning and operation. Traditionally, transit OD
matrices are generated through on-board personal interview surveys, albeit highly …

Public Transit Travel Time Analysis Using GPS Data: A Case Study of Mysore ITS

MM Harsha, RH Mulangi - 2018 3rd International Conference …, 2018 - ieeexplore.ieee.org
A prominent research emphasis on Intelligent Transportation Systems in the present world of
technologies is Big Data. The use of big data in many of the projects consisting of Intelligent …

Potential of Electronic Ticketing Machine Data in Public Transport Planning

S Francis, V Sunitha, S Mathew - Conference of Transportation Research …, 2021 - Springer
Public transport planning is one of the most important criteria in the development strategy of
any country. India is a developing country, and the smart card facilities are rare; hence, it is …