Designing a large-scale public transport network using agent-based microsimulation

P Manser, H Becker, S Hörl, KW Axhausen - Transportation Research Part …, 2020 - Elsevier
An agent-based simulation framework is extended to design efficient large-scale public
transport networks. It goes beyond existing approaches by incorporating a dynamic demand …

Considering emissions in the transit network design and frequency setting problem with a heterogeneous fleet

J Duran-Micco, E Vermeir, P Vansteenwegen - European Journal of …, 2020 - Elsevier
Urban transportation contributes significantly to CO 2 emissions. Public transport systems
are a good strategy to reduce these, but the emissions generated by public transport …

Optimizing multi-terminal customized bus service with mixed fleet

Q Sun, S Chien, D Hu, G Chen, RS Jiang - IEEE Access, 2020 - ieeexplore.ieee.org
The customized bus (CB) transit is recognized as an effective transportation mode offering
more flexible and demand-responsive service than traditional bus transit with fixed route and …

Application of Modified NSGA‐II to the Transit Network Design Problem

J Yang, Y Jiang - Journal of Advanced Transportation, 2020 - Wiley Online Library
The transit network design problem involves determining a certain number of routes to
operate in an urban area to balance the costs of the passengers and the operator. In this …

A cooperative coevolutionary optimization design of urban transit network and operating frequencies

M Liang, W Wang, C Dong, D Zhao - Expert Systems with Applications, 2020 - Elsevier
The transit network design and frequency setting problem (TNDFSP) is a complex
combinatorial optimization problem. Generally, the nature of multiobjective in TNDFSP has …

A multi-objective optimization and hybrid heuristic approach for urban bus route network design

C Wang, Z Ye, W Wang - IEEE Access, 2020 - ieeexplore.ieee.org
This study proposed a hybrid optimization model for urban bus transit route network design
problem (TRNDP). Although several mathematical methods had been developed to make …

Optimising public bus transit networks using deep reinforcement learning

A Darwish, M Khalil, K Badawi - 2020 IEEE 23rd International …, 2020 - ieeexplore.ieee.org
Public Transportation Buses are an integral part of our cities, which relies heavily on optimal
planning of routes. The quality of the routes directly influences the quality of service provided …

An Improved NSGA‐II Algorithm for Transit Network Design and Frequency Setting Problem

S Chai, Q Liang - Journal of advanced transportation, 2020 - Wiley Online Library
The transit network design and frequency setting problem is related to the generation of
transit routes with corresponding frequency schedule. Considering not only the influence of …

Solving the urban transit routing problem using a cat swarm optimization-based algorithm

IV Katsaragakis, IX Tassopoulos, GN Beligiannis - Algorithms, 2020 - mdpi.com
Presented in this research paper is an attempt to apply a cat swarm optimization (CSO)-
based algorithm to the urban transit routing problem (UTRP). Using the proposed algorithm …

A particle swarm optimization algorithm for the solution of the transit network design problem

E Cipriani, G Fusco, SM Patella, M Petrelli - Smart Cities, 2020 - mdpi.com
The research presented in this paper proposes a Particle Swarm Optimization (PSO)
approach for solving the transit network design problem in large urban areas. The solving …