Explaining the Mean and Variability of Extra Travel Time in Traffic with Interacting Fast and Slow Vehicles

In this work, the authors developed procedures to explain mean extra travel time (<i>T</i>) and extra travel time variability (<i>V</i>). This was carried out for situations (through simulations) where the fast vehicles’ travel time, whose speed tendency (<i>sp</i>...

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Main Authors: José Gerardo Carrillo-González, Francisco Perez-Martinez
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/14/7176
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author José Gerardo Carrillo-González
Francisco Perez-Martinez
author_facet José Gerardo Carrillo-González
Francisco Perez-Martinez
author_sort José Gerardo Carrillo-González
collection DOAJ
description In this work, the authors developed procedures to explain mean extra travel time (<i>T</i>) and extra travel time variability (<i>V</i>). This was carried out for situations (through simulations) where the fast vehicles’ travel time, whose speed tendency (<i>sp</i><sub>1</sub>) is the permitted speed limit, is negatively affected (i.e., increasing travel time) by the presence of slow vehicles, whose speed tendency (<i>sp</i><sub>2</sub>) is half the speed limit. The speed limit was set in the range of 60 km/h to 90 km/h, with seven cases, and every case had eight simulations, each with different <i>p</i><sub>1</sub> (fast vehicles’ percentage) and <i>p</i><sub>2</sub><i>=</i> 100% <i>− p</i><sub>1</sub> (slow vehicles’ percentage) values. <i>p</i><sub>2</sub> ranged from 10% to 80% at intervals of 10%, for a total of 56 simulations. From the simulations’ data, we calculated the fast vehicles’ extra travel time, which is the additional time to traverse an avenue segment owing to the presence of slow vehicles. The fast and slow vehicles recreate heterogenous traffic in terms of speed. We developed procedures for modeling <i>T</i> and <i>V</i> with <i>p</i><sub>2</sub>, and <i>V</i> with <i>T</i>. For modeling, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mo>~</mo></semantics></math></inline-formula>71.42% of the data from simulations was used. We find that the models’ parameters values can be used for explaining the remaining data. In addition, we discovered that the pattern of <i>p</i><sub>2</sub> vs. <i>V</i>, for <i>p</i><sub>2</sub> ranging from 50% to 80%, is different among <i>sp</i><sub>1</sub> cases and not linear.
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spelling doaj.art-c5e29db0164f4803805e79c9e61f57602023-12-03T14:36:47ZengMDPI AGApplied Sciences2076-34172022-07-011214717610.3390/app12147176Explaining the Mean and Variability of Extra Travel Time in Traffic with Interacting Fast and Slow VehiclesJosé Gerardo Carrillo-González0Francisco Perez-Martinez1Consejo Nacional de Ciencia y Tecnología, Mexico City 03940, MexicoDepartamento de Sistemas de Información y Comunicaciones, Universidad Autónoma Metropolitana, Lerma de Villada 52005, MexicoIn this work, the authors developed procedures to explain mean extra travel time (<i>T</i>) and extra travel time variability (<i>V</i>). This was carried out for situations (through simulations) where the fast vehicles’ travel time, whose speed tendency (<i>sp</i><sub>1</sub>) is the permitted speed limit, is negatively affected (i.e., increasing travel time) by the presence of slow vehicles, whose speed tendency (<i>sp</i><sub>2</sub>) is half the speed limit. The speed limit was set in the range of 60 km/h to 90 km/h, with seven cases, and every case had eight simulations, each with different <i>p</i><sub>1</sub> (fast vehicles’ percentage) and <i>p</i><sub>2</sub><i>=</i> 100% <i>− p</i><sub>1</sub> (slow vehicles’ percentage) values. <i>p</i><sub>2</sub> ranged from 10% to 80% at intervals of 10%, for a total of 56 simulations. From the simulations’ data, we calculated the fast vehicles’ extra travel time, which is the additional time to traverse an avenue segment owing to the presence of slow vehicles. The fast and slow vehicles recreate heterogenous traffic in terms of speed. We developed procedures for modeling <i>T</i> and <i>V</i> with <i>p</i><sub>2</sub>, and <i>V</i> with <i>T</i>. For modeling, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mo>~</mo></semantics></math></inline-formula>71.42% of the data from simulations was used. We find that the models’ parameters values can be used for explaining the remaining data. In addition, we discovered that the pattern of <i>p</i><sub>2</sub> vs. <i>V</i>, for <i>p</i><sub>2</sub> ranging from 50% to 80%, is different among <i>sp</i><sub>1</sub> cases and not linear.https://www.mdpi.com/2076-3417/12/14/7176extra travel timefast vehiclesheterogeneous speedslow vehiclesvariability
spellingShingle José Gerardo Carrillo-González
Francisco Perez-Martinez
Explaining the Mean and Variability of Extra Travel Time in Traffic with Interacting Fast and Slow Vehicles
Applied Sciences
extra travel time
fast vehicles
heterogeneous speed
slow vehicles
variability
title Explaining the Mean and Variability of Extra Travel Time in Traffic with Interacting Fast and Slow Vehicles
title_full Explaining the Mean and Variability of Extra Travel Time in Traffic with Interacting Fast and Slow Vehicles
title_fullStr Explaining the Mean and Variability of Extra Travel Time in Traffic with Interacting Fast and Slow Vehicles
title_full_unstemmed Explaining the Mean and Variability of Extra Travel Time in Traffic with Interacting Fast and Slow Vehicles
title_short Explaining the Mean and Variability of Extra Travel Time in Traffic with Interacting Fast and Slow Vehicles
title_sort explaining the mean and variability of extra travel time in traffic with interacting fast and slow vehicles
topic extra travel time
fast vehicles
heterogeneous speed
slow vehicles
variability
url https://www.mdpi.com/2076-3417/12/14/7176
work_keys_str_mv AT josegerardocarrillogonzalez explainingthemeanandvariabilityofextratraveltimeintrafficwithinteractingfastandslowvehicles
AT franciscoperezmartinez explainingthemeanandvariabilityofextratraveltimeintrafficwithinteractingfastandslowvehicles