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Modelling passenger car equivalency at an urban midblock using stream speed as measure of equivalence
Basu, Debasis
Maitra, Swati Roy
Maitra, Bhargab
2006
Abstract
The effect of traffic volume and its composition on Passenger Car Equivalency (PCE) of different
vehicle types in a mixed traffic stream is investigated taking an urban mid-block section as the case study.
The reduction in stream speed caused by marginal increment in traffic volume by a vehicle type is
compared with that of caused by an old technology car, for the estimation of PCE of that vehicle type. A
Neural Network (NN) approach is explored for capturing the underlying non-linear effects of traffic
volume and its composition level on the stream speed. It is found that PCE of a vehicle type varies in a
non-linear manner with total traffic volume and compositional share of that vehicle type in the traffic
stream. The speed model using NN technique alone could establish the variation of PCE with vehicle
type, traffic volume and its composition.
Series
European Transport / Trasporti Europei
XII (2006) 34
Publisher
EUT Edizioni Università di Trieste
ISTIEE Istituto per lo studio dei trasporti nell’integrazione economica europea
Source
Debasis Basu, Swati Roy Maitra, Bhargab Maitra, "Modelling passenger car equivalency at an urban midblock using stream speed as measure of equivalence", in: European Transport / Trasporti Europei, XII (2006) 34, pp. 75-87.
Languages
en
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