The impact of transit signal priority: case study in Dubai, UAE

¹ Director of Planning & Survey Dept. – Ajman Municipality, Ajman - UAE
² Associate Professor, Civil Engineering – American University of Shrajah, Sharjah – UAE

^* Corresponding author: Hadeel.akhateeb@gmail.com

Abstract

Abdulfatah & Alkhateeb proposes on this paper one of the Intelligent Transportation Systems- ITS, the Transit Signal Priority- TSP, which involves real time tracking. The United States is considered one of the lead countries in implementing this strategy since decades ago. Europe and Germany have also implemented TSP quite extensively to improve rider-ship and buses efficiency. TSP is a strategy that supports the transit system through easing the movement of the service. The operational technique used for TSP is controlling the signal system at the intersections. A detector system must be integrated in the implementation stage. It will detect the preference of public buses among the other vehicles in the traffic queue. Determining of optimal detector location for the TSP with queued lanes is the main feature. It must be studied and decided on before starting different signalization proposals for the intersection. Controlling traffic signal in favor of the public bus system will improve reliability and efficiency for buses. Meanwhile, the extreme impact of the TSP on general traffic as well as on public buses became the basis for many recent studies and thesis tested by many authors. The scope of the project as addressed in this paper is to report the delivered results of different scenarios tested, and then compare these proposed scenarios to select the best signal consideration, which has a potential impact on bus and traffic performance. After applying TSP, the results show that the impact of actuating traffic signals in Al Mussallah / Al Maktoum corridor after extending green time for bus approach (15 sec) through minimum reduction on average travel time for busses by 7.04%and tremendous increase in travel time for cars by 38.68%. A reduction in cars Avg. Speed by 28.04% in comparison to 35.52% buses Avg. Speed. On the other hand, a reduction in buses delay received by 14.11% and a decrease in Avg. Stopped delay per bus of about 18.56%, while cars received an increase in delay of around 57.00% with increased Avg. Stopped delay per car of 55.13%.