dc.contributor.author |
Prasanga, HN |
|
dc.contributor.author |
Fernando, PRD |
|
dc.contributor.editor |
Gunaruwan, TL |
|
dc.date.accessioned |
2022-04-07T04:07:21Z |
|
dc.date.available |
2022-04-07T04:07:21Z |
|
dc.date.issued |
2020-11 |
|
dc.identifier.citation |
Prasanga, H.N., & Fernando, P.R.D. (2020). Application of dynamic traffic assignment and determine model parameters for urban traffic conditions in Sri Lanka [Abstract].
In T.L. Gunaruwan (Ed.), Proceedings of 5th International Conference on Research for Transport and Logistics Industry 2020 (pp. 10-11). Sri Lanka Society of Transport and Logistics. https://slstl.lk/r4tli-2020/ |
en_US |
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/17589 |
|
dc.description.abstract |
The travel behaviour of people on a road network is not often constant and it changes over
the time. Drivers who use a particular road network continuously tend to find more
comfortable, congestion free routes with least travel time to reach their destinations. This
scenario is complicated in the context of a congested and high-density urban road network
where drivers have more freedom to use alternative paths to reach their destinations based
on changing traffic patterns within short periods. Further, the presence of navigational tools
such as Google Maps help the drivers in making quick decisions in selecting congestion free
routes, making route selection more dynamic.
In order to address this dynamic environment, many microsimulation traffic models around
the world have developed the dynamic traffic assignment tool which provides the traffic
modeller a more realistic modelling environment for urban traffic over the conventional
static route assignment. Further, conventional static route assignment may not be able to
simulate and give realistic results for urban areas with complex route networks.
However, this facility available in the microsimulation traffic models has not yet been tested
under Sri Lankan conditions. Therefore, the objective of this study is to test the dynamic
traffic assignment process and find the model parameters that are compatible with Sri
Lankan traffic conditions and driver behaviour. For this purpose, PTV Vissim traffic
microsimulation software was used.
A 2.5 km stretch of A 000: Kollupitiya-Sri Jayawardenapura road and its vicinity
(comprising Rajagiriya junction and flyover) have been considered for the case study.
Manual vehicle number plate surveys were carried out at 14 predefined locations covering
the entire area to develop origin-destination matrices for different vehicle classes. The
average growth factor method was used to develop working matrices from the sample
matrices developed through this number plate survey. The origin destination matrices
developed for the period between 5.00 pm and 6.00 pm were used as the input for the traffic
model. Stochastic (Kirchhoff) traffic assignment method was used to distribute traffic
between zones in Vissim. Model convergence, calibration and validation were carried out
as per the Vissim manual and Traffic Modelling guidelines developed by Transport for
London Institute. The GEH static values of input and output flow values of the modelled
network were used as the parameters for model calibration and validation.
The road network developed in Vissim was successfully calibrated to local conditions and
a set of model parameters that were compatible with Sri Lankan conditions found. However,
there is a need for future research work to find model parameters that are compatible with
different road and traffic conditions. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Sri Lanka Society of Transport and Logistics |
en_US |
dc.relation.uri |
https://slstl.lk/r4tli-2020/ |
en_US |
dc.subject |
Dynamic traffic assignment |
en_US |
dc.subject |
Traffic microsimulation |
en_US |
dc.subject |
PTV vissim |
en_US |
dc.subject |
GEH static |
en_US |
dc.subject |
Stochastic traffic assignment |
en_US |
dc.title |
Application of dynamic traffic assignment and determine model parameters for urban traffic conditions in Sri Lanka |
en_US |
dc.type |
Conference-Abstract |
en_US |
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.department |
Department of Transport and Logistics Management |
en_US |
dc.identifier.year |
2020 |
en_US |
dc.identifier.conference |
5th International Conference on Research for Transport and Logistics Industry 2020 |
en_US |
dc.identifier.place |
Colombo |
en_US |
dc.identifier.pgnos |
pp. 10-11 |
en_US |
dc.identifier.proceeding |
Proceedings of 5th International Conference on Research for Transport and Logistics Industry 2020 |
en_US |
dc.identifier.email |
hnprasanga@gmail.com |
en_US |