Passenger Behavior Simulation in Congested Urban Rail Transit System: A Capacity-Limited Optimal Strategy Model for Passenger Assignment
Optimal strategy, one of the main transit assignment models, can better demonstrate the flexibility for passengers using routes in a transit network. According to the basic optimal strategy model, passengers can board trains based on their frequency without any capacity limitation. In the metropolit...
Saved in:
Main Authors: | Kai Lu, Nan Cao |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2022/5975866 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Urban Rail Transit Scheduling under Time-Varying Passenger Demand
by: Xing Zhao, et al.
Published: (2018-01-01) -
Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail Transit
by: Wenxin Li, et al.
Published: (2018-01-01) -
Passenger Flow Scale Prediction of Urban Rail Transit Stations Based on Multilayer Perceptron (MLP)
by: Luzhou Lin, et al.
Published: (2023-01-01) -
Passenger Flow Path Prediction Based on Urban Rail Transit AFC Data: An Example of Chengdu, China
by: Yu Wang, et al.
Published: (2023-01-01) -
Short-Term Passenger Flow Prediction of Urban Rail Transit Based on SDS-SSA-LSTM
by: Haijun Li, et al.
Published: (2022-01-01)