Mitigating Traffic Congestion in Smart and Sustainable Cities Using Machine Learning: A Review
Abstract Machine Learning (ML) algorithms can analyze large amounts of traffic data, learn
from patterns and past behaviors, and provide insights into the current and future traffic flow …
from patterns and past behaviors, and provide insights into the current and future traffic flow …
A Path Planning Approach to Address Urban Parking Challenges Through Optimized Plane Intensive Parking Lots
Y Li, Z Zhang, W Zhou, X Tu… - 2024 9th International …, 2024 - ieeexplore.ieee.org
In this paper, we focus on the problem of vehicle entry and exit in highly saturated parking
lots. An innovative solution is proposed to simplify the entry and exit operations by …
lots. An innovative solution is proposed to simplify the entry and exit operations by …
Improving the performance of high occupancy vehicle infrastructure to alleviate city congestion
L Nkadile - 2022 - ir.cut.ac.za
The rate of rural-urban migration has increased demand on the infrastructural facilities in
cities and towns and resulted in traffic congestion. Transportation enables the movement of …
cities and towns and resulted in traffic congestion. Transportation enables the movement of …
[PDF][PDF] Big Data Technology and Indicators Report
A Mejia, S Kodukula, O Lah, E Martin… - Commun ACM, 2014 - transport-links.com
The key objective of the Africa Urban Mobility Observatory (AUMO) research project is to
promote inclusive, lowcarbon mobility in African Low-Income Country (LIC) cities, by piloting …
promote inclusive, lowcarbon mobility in African Low-Income Country (LIC) cities, by piloting …