2019
DOI: 10.2208/jscejipm.75.i_1151
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A Proposal of a Real-Time Demand Responsive Signal Control Algorithm for Displaced Left-Turn Intersections Corridor in Developing Countries

Abstract: To alleviate congestions at signalized intersections, Displaced Left-turn Crossovers (DLTs), also known as Continuous Flow Intersections (CFIs) are becoming as prevalent treatments over the past decade in some developed cities around the world. Through the novel solution provided by DLTs, left turn flows could cross the opposing traffic lanes upstream of the main intersection. As a result, DLTs lead to higher capacities, lower delays and fewer crashes. In spite of the extensive preliminary studies focused on t… Show more

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“…To fulfil the heterogeneous traffic conditions needs-particularly while representing the CFI design-highly attention was paid to designing the exclusive left turn lane, in order to avoid any possibility of blockage. Moreover, coordination between the traffic signal groups of both the main intersection and the upstream crossovers was carefully considered by utilizing different coordination techniques; namely, bandwidth maximization and delay minimization [5,8,28]. On the other hand, all proposed designs were presented considering the issue of conflict points with high priority [5][6][7][8]24].…”
Section: Operational Performance Determinantsmentioning
confidence: 99%
“…To fulfil the heterogeneous traffic conditions needs-particularly while representing the CFI design-highly attention was paid to designing the exclusive left turn lane, in order to avoid any possibility of blockage. Moreover, coordination between the traffic signal groups of both the main intersection and the upstream crossovers was carefully considered by utilizing different coordination techniques; namely, bandwidth maximization and delay minimization [5,8,28]. On the other hand, all proposed designs were presented considering the issue of conflict points with high priority [5][6][7][8]24].…”
Section: Operational Performance Determinantsmentioning
confidence: 99%