We present an AI‐based solution approach to the transit network design problem (TNDP).
Past approaches fall into three categories: optimization formulations of idealized situations …

In this paper we present a Lisp-implemented route generation algorithm (RGA) for the
design of transit networks. Along with an analysis procedure and an improvement algorithm …

This paper critically reviews applications of metaheuristics for solving the Transit Route
Network Design Problem (TRNDP). A structured review is offered and prominent …

Previous approaches used to solve the transit route network design problem (TRNDP) can
be classified into three categories:(1) Practical guidelines and ad hoc procedures;(2) …

The transit network design problem (TNDP) aims to determine a set of bus routes for a public
transportation system, which must be convenient from the viewpoints of both users (people …

Efficient design of public transportation networks has attracted much interest in the transport
literature and practice, with many models and approaches for formulating the associated …

This article attempts to highlight the effectiveness of genetic algorithm (GA)–based
procedures in solving the urban transit network design problem (UTNDP). The article …

This paper presents a mathematical methodology for transit route network optimization. The
goal is to provide an effective computational tool for the optimization of large-scale transit …

A methodology for optimizing transit networks based on both passenger and operator costs
is presented. Given information on transit demand, street network, and a set of feasibility …

This paper uses a simulated annealing algorithm to solve the optimal bus transit route
network design problem (BTRNDP) at the distribution node level. A multiobjective nonlinear …