Abstract
Traffic congestion causes many socio-economic problems in developing nations. One of the main causes of traffic congestion can be attributed to poor design practices. In the last few years, Lahore city has expanded haphazardly where the allocation of resources was done based on political will instead of feasible design practices. This haphazard growth coupled with a poor design resulted in traffic congestion on the main roads of the city. In this study, simulations using different traffic management design strategies were carried out on major roads to check if traffic delays and Level of Service (LOS) can be improved. The most feasible designs based on the simulated results were proposed for the improvement of the existing infrastructure designs. These findings suggested that Akbar Chowk and Jinnah Hospital Intersection have greatly reduced the traffic delay time by 92.97% and 92.67%, respectively. Policymakers can utilize these simulated results for future design guidelines to accommodate the future growth of traffic on these arterial roads.
Highlights
In developing countries, traffic congestion is an ever-increasing concern for the stakeholders
As evident from the table, there are significant improvements in the results where Level of Service (LOS) is improved and the maximum delay is decreased in each case
The simulations were carried out based on the actual traffic counts on the selected routes
Summary
Traffic congestion is an ever-increasing concern for the stakeholders. The main reasons for traffic congestion in developing nations are poor planning, design and operational strategies pertinent to the transportation systems [1]. People from areas around the cities migrate to these unprecedently growing cities for better health, education, and career opportunities [3] This results in increased traffic demand as the number of daily commuters exceed the capacity of the road network causing major traffic bottlenecks. The biased and limited allocation of resources for the development of public transportation systems coupled with an unprecedented rise in traffic demand and a huge number of personal motorized and nonmotorized vehicles on the roads has worsened the traffic situation on major arterial roads of the city [5]. The remainder of the paper is divided into the following sections: section 2 highlights the selected route network and data collection process where some descriptions of the software are given, section 3 describes the data analysis procedures and the main findings of the research study, and the last part, section 4, includes discussions and conclusions, while limitations and future research directions are described at the end
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