Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Synchronized timetables for bus rapid transit networks in small and large cities
by
Shankar, R
, Ataeian, Sh
, Amiripour, S M M
, Solimanpur, M
in
Buses
/ Buses (vehicles)
/ Frequency setting
/ Genetic algorithms
/ Heuristic
/ Integer programming
/ Linear programming
/ Mixed integer
/ Nonlinear programming
/ Optimization
/ Passengers
/ Planning
/ Public transportation
/ Quality of service
/ Rapid transit systems
/ Synchronism
/ Synchronization
/ Timetables
/ Transportation networks
/ Transportation planning
/ Transportation services
/ Urbanism
/ Vehicles
2021
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Synchronized timetables for bus rapid transit networks in small and large cities
by
Shankar, R
, Ataeian, Sh
, Amiripour, S M M
, Solimanpur, M
in
Buses
/ Buses (vehicles)
/ Frequency setting
/ Genetic algorithms
/ Heuristic
/ Integer programming
/ Linear programming
/ Mixed integer
/ Nonlinear programming
/ Optimization
/ Passengers
/ Planning
/ Public transportation
/ Quality of service
/ Rapid transit systems
/ Synchronism
/ Synchronization
/ Timetables
/ Transportation networks
/ Transportation planning
/ Transportation services
/ Urbanism
/ Vehicles
2021
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Synchronized timetables for bus rapid transit networks in small and large cities
by
Shankar, R
, Ataeian, Sh
, Amiripour, S M M
, Solimanpur, M
in
Buses
/ Buses (vehicles)
/ Frequency setting
/ Genetic algorithms
/ Heuristic
/ Integer programming
/ Linear programming
/ Mixed integer
/ Nonlinear programming
/ Optimization
/ Passengers
/ Planning
/ Public transportation
/ Quality of service
/ Rapid transit systems
/ Synchronism
/ Synchronization
/ Timetables
/ Transportation networks
/ Transportation planning
/ Transportation services
/ Urbanism
/ Vehicles
2021
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Synchronized timetables for bus rapid transit networks in small and large cities
Journal Article
Synchronized timetables for bus rapid transit networks in small and large cities
2021
Request Book From Autostore
and Choose the Collection Method
Overview
The quality of public transportation service has significant effects on the quality of urban life. In the course of frequency setting and timetabling as an important step in the public transportation planning process, synchronization gains significance and directly influences the utility and attractiveness of the system; therefore, a great deal of attention should be drawn to it in the whole planning process, especially in setting frequency and timetable. To this end, the present study proposes a mixed-integer nonlinear programming model to set timetables on a bus transit network with maximum synchronization and minimum number of fleet size. The proposed model is applicable to both small- and large-scale transit networks and is used for setting timetables on two samples of different sizes. A simple problem in this study was solved by General Algebraic Modeling System (GAMS) Software where the obtained timetable seemed quite reasonable. Moreover, the proposed model was employed to set timetables through the genetic algorithm on Tehran Bus Rapid Transit (BRT) networks as a real-life instance; then, the NSGA-II was used to obtain the Pareto optimal solutions of the problem for five different scenarios. Finally, the results showed that the proposed model was efficient in setting timetables on transit networks of different sizes.
MBRLCatalogueRelatedBooks
Related Items
Related Items
This website uses cookies to ensure you get the best experience on our website.