Neural network-based prediction model for passenger flow in a large passenger station: an exploratory study

Z Jing, X Yin - IEEE Access, 2020 - ieeexplore.ieee.org
As the hub and carrier to transfer the passengers, the railway station is an important factor
that affects the rail passenger transportation because the normal operation of the station …

Simulation of road capacity considering the influence of buses

J Shen, J Qi, F Qiu, C Zheng - IEEE Access, 2019 - ieeexplore.ieee.org
The traditional cellular automata model cannot fully demonstrate the effect of buses on road
capacity due to the incapable of considering the difference in dynamic performance and …

[HTML][HTML] Optimization of intensive land use in blocks of Xi'an from the perspective of bicycle travel

M Zhao, L Li, Y Fang, L Zhang, W Dong, Z Li… - Alexandria Engineering …, 2021 - Elsevier
Faced with limited land resources, large and medium-sized cities are compelled to make
use of land in an efficient and intensive way. At the same time, the available traffic resources …

Modeling and Supervisory Control of Urban Traffic Flows in Medium-sized Cities Using Hybrid Approach.

B Tolbi, F Bouriachi, H Zatla - Revue d'Intelligence Artificielle, 2020 - search.ebscohost.com
This paper presents an optimal supervisory control technique of urban traffic flows, through a
hybrid modeling approach of two phases intersections in medium-sized cities. These last are …

[PDF][PDF] Clustering et interactions multi-agents pour la création de groupes de vacanciers

EG Le Strugeon, E Adam - APIA - ut3-toulouseinp.hal.science
Résumé L'objectif applicatif de cette étude en cours est de proposer une aide à la mise en
relation de personnes âgées souhaitant partir en vacances. L'approche proposée associe …

[PDF][PDF] SMA: L'équipe Systèmes Multi-Agents du LIRIS

ÉS Multi-Agents, S HASSAS - Bulletin N o 104 - irit.fr
L'équipe SMA du LIRIS s' intéresse au développement de systèmes intelligents, autonomes,
ayant des capacités cognitives, en utilisant l'apprentissage par renforcement multiagent …