Authors :
Captain Gospel Otto; Robert Ipalibo
Volume/Issue :
Volume 9 - 2024, Issue 1 - January
Google Scholar :
http://tinyurl.com/4j6enb43
Scribd :
http://tinyurl.com/mr2xb89p
DOI :
https://doi.org/10.5281/zenodo.10499914
Abstract :
Numerous measures are being implemented
to address transportation challenges in Port Harcourt, a
rapidly growing city with a high population in Nigeria.
The city experiences heavy traffic congestion, especially
on major link roads, leading to significant delays due to
the bottlenecks caused by reckless parking, construction
work, and other factors. To analyse speed at bottlenecks,
experts apply the Lighthill Theory, a rigorous process
determining speed. Bottlenecks refer to areas in the road
network where traffic flow is hindered, resulting in
congestion and decreased speeds. Accurately modelling
speed in the presence of bottlenecks is critical to
understanding traffic dynamics and developing effective
strategies to manage congestion. A study was conducted
at 34 locations with bottlenecks caused by various
factors, including road construction, merging lanes, road
capacity limitations, accidents, and vehicle breakdowns.
Using Eureqa software, the project developed models
that can easily calculate the speed at bottlenecks. The
maximum error in predicting speeds before, at, and after
the bottleneck is 0.288, 0.241, and 4.235, respectively.
The mean squared error of speeds before, at, and after
the bottleneck is 0.01048, 0.00908, and 0.858,
respectively. These results demonstrate that the models
are relatively accurate in predicting speeds at different
stages of bottlenecks. The speed models gave R2 values of
0.99125, 0.9977, and 0.97524 for speed before, at, and
after the bottleneck, respectively, with a correlation
coefficient value (r) of 0.99563, 0.99887, and 0.9883.
Keywords :
Model, Congestion, Traffic Flow, Bottleneck, Intersection.
Numerous measures are being implemented
to address transportation challenges in Port Harcourt, a
rapidly growing city with a high population in Nigeria.
The city experiences heavy traffic congestion, especially
on major link roads, leading to significant delays due to
the bottlenecks caused by reckless parking, construction
work, and other factors. To analyse speed at bottlenecks,
experts apply the Lighthill Theory, a rigorous process
determining speed. Bottlenecks refer to areas in the road
network where traffic flow is hindered, resulting in
congestion and decreased speeds. Accurately modelling
speed in the presence of bottlenecks is critical to
understanding traffic dynamics and developing effective
strategies to manage congestion. A study was conducted
at 34 locations with bottlenecks caused by various
factors, including road construction, merging lanes, road
capacity limitations, accidents, and vehicle breakdowns.
Using Eureqa software, the project developed models
that can easily calculate the speed at bottlenecks. The
maximum error in predicting speeds before, at, and after
the bottleneck is 0.288, 0.241, and 4.235, respectively.
The mean squared error of speeds before, at, and after
the bottleneck is 0.01048, 0.00908, and 0.858,
respectively. These results demonstrate that the models
are relatively accurate in predicting speeds at different
stages of bottlenecks. The speed models gave R2 values of
0.99125, 0.9977, and 0.97524 for speed before, at, and
after the bottleneck, respectively, with a correlation
coefficient value (r) of 0.99563, 0.99887, and 0.9883.
Keywords :
Model, Congestion, Traffic Flow, Bottleneck, Intersection.
