Page 36 - Trafficinfratech Magazine April 2023 Digital Edition

PUBLIC TRANSPORT

manually when demand estimation systems and stand alone in some dataset from any major telecom
functionality is not available in the cases. Even though ANPR cameras operator provides a rich sample of
deployed ATCS system. This takes a do not capture all the vehicles, this the movement of the population in
relatively modest amount of effort, data source provides a sample of space and time when combined with
and such analyses can be carried origin-destination movements of the location data of mobile towers.
out using open source modelling vehicles, and sometimes information The sample travel patterns from
software such as SUMO without about the route taken depending telecom operators can be combined
incurring a high cost. upon the number and locations of with traffic counts with the aid of
ANPR cameras. As most Smart Cities a modelling software to estimate
Automatic Traffic also have transport models from the overall travel demand in cities. This
Counters and ATCS system, origin- destination technology has been available in the
Classifiers data from ANPR can be used to country for many years now and is
update the demand in the base
Some Smart Cities have installed models when the sample size of accepted in practice in a number of
Automatic Traffic Counters ANPR data is large enough. This is an countries outside India.
and Classifiers. ATCCs are high offline activity involving a modelling
accuracy traffic detectors that software outlined above. Updating Using demand data for
are typically deployed mid-link on the demand in the base model will public transport
major arterials within the city and result in more accurate estimates of The above methods present
at major entry/exit points to the origin-destination travel demand . feasible options for cities to model
city on the outskirts. Data from and understand travel demand
ATCCs can be used in a similar Data from mobile in cities in a temporally granular
fashion to count data from ATCS telecom systems fashion. This will help city authorities
to estimate time dependent spatial understand the requirement for
travel demand patterns. Origin-destination demand can
be estimated more accurately mobility geographically during the
Automatic Number compared to the above methods course of a day. Cities can thus
Plate Recognition when cities have access to mobile design their public transport routes
and time tables based on a solid
Cameras telecom data. Mobile telecom
systems record events such as calls, understanding of demand data.
ANPR cameras record the SMS and data exchanges, the IMEI Such a data driven design and
registration number of passing number of the mobile device used operation of the public transport
vehicles along with the timestamp. and the mobile tower a mobile system will give the public a feasible
A network of ANPR cameras are device is connected to during the alternative to private transport,
installed in a number of Smart Cities, event along with the timestamp. potentially resulting in mode shift
some times as a part of enforcement A pseudonymised version of this and reduced congestion.

36 TrafficInfraTech / April 2023 / www.trafficinfratech-com-500653.hostingersite.com