DocumentCode
105791
Title
A Traffic Signal Optimization Model for Intersections Experiencing Heavy Scooter–Vehicle Mixed Traffic Flows
Author
Chien-Lun Lan ; Gang-Len Chang
Author_Institution
Dept. of Civil & Environ. Eng., Univ. of Maryland, College Park, MD, USA
Volume
16
Issue
4
fYear
2015
fDate
Aug. 2015
Firstpage
1771
Lastpage
1783
Abstract
In response to the need for designing signal plans for congested intersections caused by heavy scooter-vehicle mixed flows, this paper presents our formulated model for optimizing both the cycle length and signal timings for isolated intersections. The proposed model accounts for the interactions between scooter and vehicle flows and reflects the maneuverability of scooters in the queue formation and discharging process. The robustness of the proposed formulations has been evaluated with field data and laboratory experiments. The signal optimization model, grounded on such formulations for scooter-vehicle mixed flows, has also been implemented at an intersection and assessed with a rigorous before-and-after field analysis. Our research concludes that incorporating the unique properties of scooter flows is essential for design and development of effective signal control strategies to contend with recurrent congestion caused by heavy mixed scooter-vehicle flows.
Keywords
queueing theory; road traffic; before-and-after field analysis; congested intersections; cycle length; discharging process; heavy scooter-vehicle mixed traffic flows; isolated intersections; queue formation; recurrent congestion; signal plans; signal timings; traffic signal optimization model; Delays; Merging; Motorcycles; Optimization; Space exploration; Space vehicles; Mixed scooter–vehicle flows; Mixed scooter???vehicle flows; optimization; traffic signals;
fLanguage
English
Journal_Title
Intelligent Transportation Systems, IEEE Transactions on
Publisher
ieee
ISSN
1524-9050
Type
jour
DOI
10.1109/TITS.2014.2376292
Filename
6994838
Link To Document