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 :
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