Modeling Modified Intermittent Bus Lane Integrated with Transit Signal Priority Under Mixed Traffic Condition
This study endeavors to develop a new prioritizing scheme for transit vehicles (i.e., bus) without compromising the delay of other traffic by incorporating a modified concept of Intermittent Bus Lane (IBL) with Transit Signal Priority (TSP). Hence, an algorithm was proposed to integrate the scheme w...
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Veröffentlicht in: | Transportation in developing economies (Online) 2022-04, Vol.8 (1), Article 17 |
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creator | Mashrur, Sk. Md Haque, Nazmul Hadiuzzaman, Md Rahman, Farzana Rahman, Md. Mizanur Chowdhury, Mohammad Ehsan Shahmi |
description | This study endeavors to develop a new prioritizing scheme for transit vehicles (i.e., bus) without compromising the delay of other traffic by incorporating a modified concept of Intermittent Bus Lane (IBL) with Transit Signal Priority (TSP). Hence, an algorithm was proposed to integrate the scheme with an urban road network having mixed traffic and was simulated in a microsimulation environment. Traffic data of two peak periods, comprising seven (7) hours of traffic flow in each of the three (3) consecutive days, were recorded and extracted using the image processing technique. Moreover, a comparative study was done with commonly practiced priority schemes worldwide for the prevailing traffic conditions in terms of average traffic delay. The results suggested that IBL with TSP outperforms other priority schemes by reducing a minimum of 40-s traffic delay per vehicle than the “Do Nothing” Strategy, in case of lower traffic volume with only 15% of the bus. Besides, a validated “Color Code” was established for the policymakers to choose the best transit priority alternative for the prevailing traffic conditions. |
doi_str_mv | 10.1007/s40890-022-00154-7 |
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Moreover, a comparative study was done with commonly practiced priority schemes worldwide for the prevailing traffic conditions in terms of average traffic delay. The results suggested that IBL with TSP outperforms other priority schemes by reducing a minimum of 40-s traffic delay per vehicle than the “Do Nothing” Strategy, in case of lower traffic volume with only 15% of the bus. 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Traffic data of two peak periods, comprising seven (7) hours of traffic flow in each of the three (3) consecutive days, were recorded and extracted using the image processing technique. Moreover, a comparative study was done with commonly practiced priority schemes worldwide for the prevailing traffic conditions in terms of average traffic delay. The results suggested that IBL with TSP outperforms other priority schemes by reducing a minimum of 40-s traffic delay per vehicle than the “Do Nothing” Strategy, in case of lower traffic volume with only 15% of the bus. Besides, a validated “Color Code” was established for the policymakers to choose the best transit priority alternative for the prevailing traffic conditions.</description><subject>Algorithms</subject><subject>Buses (vehicles)</subject><subject>Civil Engineering</subject><subject>Comparative studies</subject><subject>Developing countries</subject><subject>Development Economics</subject><subject>Driving conditions</subject><subject>Engineering</subject><subject>Image processing</subject><subject>Landscape/Regional and Urban Planning</subject><subject>LDCs</subject><subject>Original Paper</subject><subject>Peak periods</subject><subject>Roads</subject><subject>Traffic</subject><subject>Traffic delay</subject><subject>Traffic flow</subject><subject>Traffic information</subject><subject>Traffic signals</subject><subject>Traffic volume</subject><subject>Transportation</subject><subject>Transportation networks</subject><subject>Traveling salesman problem</subject><issn>2199-9287</issn><issn>2199-9295</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEURYMoWGr_gKuA69F8NslSix-FFgXbdcjMJDWlzdQkRfvvjR3Rnat3eZz7eBwALjG6xgiJm8SQVKhChFQIYc4qcQIGBCtVKaL46W-W4hyMUlojhAgXCCk-ANt519qNDytYgnfetnAaso1bn7MNGd7tE5yZYI_bVTS5AB8-v8FFNCH5DF_9KpgNfIm-iz4f4DK0NsK5_yxgYZzzDZx0ofXZd-ECnDmzSXb0M4dg-XC_mDxVs-fH6eR2VjWEqVxRxzFXrK5rSVqKZEtqRjgb18o0VFAnx4ZKooThAqOGEsk4ayjHUlrFbe3oEFz1d3exe9_blPW628fyZ9JkzDAvPcYLRXqqiV1K0Tq9i35r4kFjpL_N6t6sLmb10awWpUT7UipwWNn4d_qf1hc0dns-</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Mashrur, Sk. 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Md</creatorcontrib><creatorcontrib>Haque, Nazmul</creatorcontrib><creatorcontrib>Hadiuzzaman, Md</creatorcontrib><creatorcontrib>Rahman, Farzana</creatorcontrib><creatorcontrib>Rahman, Md. Mizanur</creatorcontrib><creatorcontrib>Chowdhury, Mohammad Ehsan Shahmi</creatorcontrib><collection>CrossRef</collection><jtitle>Transportation in developing economies (Online)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mashrur, Sk. Md</au><au>Haque, Nazmul</au><au>Hadiuzzaman, Md</au><au>Rahman, Farzana</au><au>Rahman, Md. Mizanur</au><au>Chowdhury, Mohammad Ehsan Shahmi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling Modified Intermittent Bus Lane Integrated with Transit Signal Priority Under Mixed Traffic Condition</atitle><jtitle>Transportation in developing economies (Online)</jtitle><stitle>Transp. in Dev. 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subjects | Algorithms Buses (vehicles) Civil Engineering Comparative studies Developing countries Development Economics Driving conditions Engineering Image processing Landscape/Regional and Urban Planning LDCs Original Paper Peak periods Roads Traffic Traffic delay Traffic flow Traffic information Traffic signals Traffic volume Transportation Transportation networks Traveling salesman problem |
title | Modeling Modified Intermittent Bus Lane Integrated with Transit Signal Priority Under Mixed Traffic Condition |
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