Optimising modular-autonomous-vehicle transit service employing coupling–decoupling operations plus skip-stop strategy

J Zhang, YE Ge, C Tang, M Zhong - Transportation Research Part E …, 2024 - Elsevier
Modular autonomous vehicles (MAVs) have enormous potential to accommodate spatio-
temporally imbalanced demand by coupling and decoupling flexibly in operation. The …

Optimizing the integration of express bus services with micro-mobility: a case study

M Candiani, F Malucelli, M Pascoal… - Transportation Research …, 2024 - Elsevier
Considering a bus line, the problem of defining an express bus line consists in determining
which stops of the original line will belong to the express line and the frequency of the new …

Queuing analysis and optimization of public vehicle transport stations: a case of South West Ethiopia region vehicle stations

MB Alem - International Journal of Industrial Optimization, 2024 - journal2.uad.ac.id
Modern urban environments present a dynamically growing field where, notwithstanding
shared goals, several mutually conflicting interests frequently collide. However, it has a big …

Optimising public transit using big data and machine learning

K Lee - 2023 - dr.ntu.edu.sg
Despite decades of research on optimisation of public transit, recent advances in big data
collection and machine learning methods have created new possibilities for further …

Analysis of the influence of the use of the right lane of a stretch of road as a multiple stop on vehicle delays and capacity of adjacent lanes

C Soria, J Calcina, M Silvera… - … de Innovación y …, 2023 - ieeexplore.ieee.org
Vehicle congestion in a city affects users of public and private transport because it generates
loss of time and money. However, this problem becomes more complex when there is no …

Enhancing fixed transit services with demand-responsive limited-stop services considering alternative routes

K Lee, Y Jiang, J Dauwels, R Su - 2023 - dr.ntu.edu.sg
The rigidity of conventional bus services that do not adapt to real-time changes in demand or
travel times can lead to inefficient use of limited resources because these services are …