Estimation of Transport Systems Capacity

Larisa Afanasyeva () and Ekaterina Bulinskaya ()
Additional contact information
Larisa Afanasyeva: Lomonosov Moscow State University
Ekaterina Bulinskaya: Lomonosov Moscow State University

A chapter in Traffic and Granular Flow '11, 2013, pp 63-77 from Springer

Abstract: Abstract A transport system capacity is introduced as maximal car flow density compatible with a desired quality of system performance. As an objective function one can choose mean car velocity or mean travel time dealing with highway capacity. Mean number of cars waiting before crossroads is useful to analyze the traffic lights capacity. Probability of a line of stationary or very slow moving traffic with length exceeding a given threshold can also serve for estimation of a transport system capacity. We consider three examples of transport systems (a highway without traffic lights with two car types, a single crossroads as well as hierarchical networks) and estimate their capacities.

Keywords: Busy Period; Traffic Light; Input Flow; Hierarchical Network; Erlang Distribution (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-39669-4_7

Ordering information: This item can be ordered from
http://www.springer.com/9783642396694

DOI: 10.1007/978-3-642-39669-4_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().