Real-Time Bus Departure Prediction Using Neural Networks for Smart IoT Public Bus Transit
Bus transit plays a vital role in urban public transportation but often struggles to provide accurate and reliable departure times. This leads to delays, passenger dissatisfaction, and decreased ridership, particularly in transit-dependent areas. A major challenge lies in the discrepancy between act...
Saved in:
| Main Authors: | Narges Rashvand, Sanaz Sadat Hosseini, Mona Azarbayjani, Hamed Tabkhi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | IoT |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-831X/5/4/29 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Demographic disparities, service efficiency, safety, and user satisfaction in public bus transit system: A survey-based case study in the city of Charlotte, NC
by: Sanaz Sadat Hosseini, et al.
Published: (2025-01-01) -
Indonesian Bus Stations: Mixed-Use, Government Capital Funding, and Its Determinants and Impact
by: Fatchan Achyani, et al.
Published: (2024-01-01) -
Research on the Intelligent Bus Scheduling System Based on Genetic Algorithm
by: LIU Jiguo
Published: (2019-01-01) -
The Integration of the Internet of Things (IoT) Applications into 5G Networks: A Review and Analysis
by: Aymen I. Zreikat, et al.
Published: (2025-06-01) -
Get on the (curbside) bus: The new intercity bus
by: Nicholas J. Klein
Published: (2015-04-01)