Public transport planning adaption under the COVID-19 pandemic crisis: literature review of research needs and directions
The COVID-19 pandemic crisis has greatly impacted public transport ridership and service
provision across the world. As many countries start to navigate their return to normality, new …
provision across the world. As many countries start to navigate their return to normality, new …
Metaheuristics for the transit route network design problem: a review and comparative analysis
This paper critically reviews applications of metaheuristics for solving the Transit Route
Network Design Problem (TRNDP). A structured review is offered and prominent …
Network Design Problem (TRNDP). A structured review is offered and prominent …
Strategic planning of dedicated autonomous vehicle lanes and autonomous vehicle/toll lanes in transportation networks
Employing vehicle communication and automated control technologies, autonomous
vehicles (AVs) can safely drive closer together than human-driven vehicles (HVs), thereby …
vehicles (AVs) can safely drive closer together than human-driven vehicles (HVs), thereby …
Complete hierarchical multi-objective genetic algorithm for transit network design problem
Abstract Transit Network Design Problem is a multi-disciplinary problem that is considered
one of the most intractable problems for real size networks. In the late 90s, Meta-heuristics …
one of the most intractable problems for real size networks. In the late 90s, Meta-heuristics …
Joint optimization of train scheduling and rolling stock circulation planning with passenger flow control on tidal overcrowded metro lines
This study proposes a joint optimization method for train scheduling and rolling stock
circulation planning with the consideration of passenger flow control strategy on a tidal …
circulation planning with the consideration of passenger flow control strategy on a tidal …
Optimal frequency setting of metro services in the age of COVID-19 distancing measures
Public transport is one of the most disrupted sectors of the COVID-19 pandemic with
reported ridership drops up to 90% in majorly affected countries. As many government …
reported ridership drops up to 90% in majorly affected countries. As many government …
Solving urban transit route design problem using selection hyper-heuristics
The urban transit routing problem (UTRP) focuses on finding efficient travelling routes for
vehicles in a public transportation system. It is one of the most significant problems faced by …
vehicles in a public transportation system. It is one of the most significant problems faced by …
A survey on the transit network design and frequency setting problem
Appropriate public transport systems are crucial in modern cities. Given the high costs that
they represent and the impact they have on people's lives, effective tools are required to …
they represent and the impact they have on people's lives, effective tools are required to …
A multi-objective meta-heuristic approach for transit network design and frequency setting problem in a bus transit system
This paper studies a multi-objective transit network design and frequency setting (TNDFS)
problem with the aim of determining a set of routes and frequency on each route for public …
problem with the aim of determining a set of routes and frequency on each route for public …
Solving the first‐mile ridesharing problem using autonomous vehicles
Autonomous vehicles (AVs) are paving a way to reshape the operation and management of
urban transportation systems by improving travel mobility. In this study, we propose to use …
urban transportation systems by improving travel mobility. In this study, we propose to use …