.png){kind=icon}
.png){kind=icon}
Return
Designing a transit priority network under variable demand
.png){kind=icon}
PRE
AI
DOI：10.1080/19427867.2019.1629564.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
While transit exclusive lanes are statically introduced for an entire day (or for the peak period), the total number and distribution of trips vary from one hour to another during a day. In this study, a Transit Priority Network Design Problem (TPNDP) under variable demand has been formulated by a bi-level robust optimization approach. At the upper level, a non-linear mathematical program is adapted to find the optimum set of exclusive bus lanes at the network level such that the total travel time as well as its hourly variation is minimized and at the lower level, a four-step demand model is applied. The results show the importance of considering the hourly travel demand variation in designing a transit priority scheme and how such results can be compared with previous TPNDP models with a fixed demand. The proposed algorithm identifies the location of full time and part-time transit lanes in the network.
Keywords:
Exclusive bus lane
transit priority network design
robust optimization
ant colony algorithm
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
T
IF:
3.3
Papers:
901
Citations:
2.1K