Article (Scientific journals)
With spatial queueing, the P0 responsive traffic signal control policy may fail to maximise network capacity even if queue storage capacities are very large
Smith, Michael J; VITI, Francesco; Huang, Wei et al.
2023In Transportation Research. Part B, Methodological, 177, p. 102814
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Keywords :
Capacity-maximising traffic control; Quasi-dynamic traffic assignment; Responsive traffic control; Capacity-maximizing traffic control; Control policy; Dynamic traffic; Network Capacity; Quasi-dynamics; Storage capacity; Traffic assignment; Traffic signal control; Civil and Structural Engineering; Transportation; Management Science and Operations Research
Abstract :
[en] The local responsive traffic signal control policy P0 was designed to maximise network capacity under certain conditions and it has been shown, in Smith (1979a, b, 1980) and Smith et al. (2019a, 2022), that the P0 policy and related policies do indeed maximise the capacity of many steady state networks or quasi-dynamic networks with vertical and spatial queues under various conditions. This current paper shows, by giving an example, that if queueing is spatial then the original policy P0 itself may not maximise network capacity, even if the queue storage capacity of each link is very large.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Smith, Michael J;  Department of Mathematics, University of York, United Kingdom
VITI, Francesco  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Huang, Wei;  School of Intelligent Systems Engineering, Sun Yat-sen University, China
Mounce, Richard;  University of Aberdeen, United Kingdom
External co-authors :
yes
Language :
English
Title :
With spatial queueing, the P0 responsive traffic signal control policy may fail to maximise network capacity even if queue storage capacities are very large
Publication date :
November 2023
Journal title :
Transportation Research. Part B, Methodological
ISSN :
0191-2615
eISSN :
1879-2367
Publisher :
Elsevier Ltd
Volume :
177
Pages :
102814
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
Available on ORBilu :
since 26 November 2023

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