scholarly journals An Accessibility Driven Evolutionary Transit Network Design Approach in the Multi-agent Simulation Environment

2018 ◽  
Vol 136 ◽  
pp. 499-510 ◽  
Author(s):  
Timofey Volotskiy ◽  
Jaroslav Smirnov ◽  
Dominik Ziemke ◽  
Ihab Kaddoura
Keyword(s):  
Network Design ◽  
Design Approach ◽  
Simulation Environment ◽  
Transit Network ◽  
Agent Simulation ◽  
Multi Agent ◽  
Transit Network Design

scholarly journals An Improved NSGA-II Algorithm for Transit Network Design and Frequency Setting Problem

2020 ◽  
Vol 2020 ◽  
pp. 1-20 ◽  
Author(s):  
Shushan Chai ◽  
Qinghuai Liang
Keyword(s):  
Network Design ◽  
Travel Time ◽  
Policy Formulation ◽  
Nsga Ii ◽  
Transit Network ◽  
Generation Mode ◽  
Np Hard Problem ◽  
Transit Network Design ◽  
Population Genetic Algorithm ◽  
Transit Routes

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 transfers but also the delay caused by congestion on passengers’ travel time, a multi-objective transit network design model is developed. The model aims to minimize the travel time of passengers and minimize the number of vehicles used in the network. To solve the model belongs to a NP-Hard problem and is intractable due to the high complexity and strict constraints. In order to obtain the better network schemes, a multi-population genetic algorithm is proposed based on NSGA-II framework. With the algorithm, network generation, mode choice, demand assignment, and frequency setting are all integrated to be solved. The effectiveness of the algorithm which includes the high global convergence and the applicability for the problem is verified by comparison with previous works and calculation of a real-size case. The model and algorithm can be used to provide candidates for the sustainable policy formulation of urban transit network scheme.

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