Evaluation of the Accuracy and Automation of Travel Time and Delay Data Collection Methods

Suarez, Robert; Faghri, Ardeshir; Li, Mingxin

doi:10.4236/jtts.2014.41007

Cited by 7 publications

(3 citation statements)

References 16 publications

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“…Level of Service (LOS) is a quantitative assessment approach for measuring the performance of traffic modes and facilities [17] [18] [19] [20]. For the evaluation of PLOS, the earlier approaches depend on the LOS of vehicles [21].…”

Section: Methods Of Plos Evaluationmentioning

confidence: 99%

Pedestrian Facilities Capacity and Level of Service at Intersections in a Connected and Autonomous Vehicle Environment

Wang¹,

Faghri²,

Yuan³

et al. 2019

JTTs

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It is inevitable that Connected and Autonomous Vehicles (CAVs) will be a major focus of transportation and the automotive industry with increased use in future traffic system analysis. Numerous studies have focused on the evaluation and potential development of CAVs technology; however, pedestrians and bicyclists, as two essential and important modes of the road users have seen little to no coverage. In response to the need for analyzing the impact of CAVs on non-motorized transportation, this paper develops a new model for the evaluation of the Level of Service (LOS) for pedestrians in a CAVs environment based on the Highway Capacity Manual (HCM). The HCM provides a methodology to assess the level of service for pedestrians and bicyclists on various types of intersections in urban areas. Five scenarios were created for simulation via VISSIM (a software) that corresponds to the different proportions of the CAVs and different signal systems in a typical traffic environment. Alternatively, the Surrogate Safety Assessment Model (SSAM) was selected for analyzing the safety performance of the five scenarios. Through computing and analyzing the results of simulation and SSAM, the latter portion of this paper focuses on the development of a new model for evaluating pedestrian LOS in urban areas which are based upon HCM standards which are suitable for CAVs environments. The results of this study are intended to inform the future efforts of engineers and/or policymakers and to provide them with a tool to conduct a comparison of capacity and LOS related to the impact of CAVs on pedestrians during the process of a transportation system transition to CAVs.

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Section: Methods Of Plos Evaluationmentioning

confidence: 99%

Pedestrian Facilities Capacity and Level of Service at Intersections in a Connected and Autonomous Vehicle Environment

Wang¹,

Faghri²,

Yuan³

et al. 2019

JTTs

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“…The University of Delaware campus was used to study and develop the model to identify bicycle conflict hotspots. The first step in the process was the design of the process and data variables, i.e., determining what variables were to be collected for analysis [45] [46] [47]. This was done by determining key geometric features as well as user characteristics.…”

Section: Methodsmentioning

confidence: 99%

Modeling Bicycle Conflict on Non-Motorized Paths on Suburban College Campuses

Nerwinski¹,

Faghri²,

Li³

2018

JTTs

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Bicycling is an important way for college students and employees to get around campuses. With a rise in bicycling on campuses there comes a rise in bicycle collisions with pedestrians walking to and from classes and work. The literature review showed many papers involving bicycle conflict modeling but on roads with motor vehicles. While some aspects of this research can be applied to non-motorized paths, there is a lack of research strictly focusing on only bicycles and pedestrians. This study aims to fill this knowledge gap by developing a model to identify locations on roads and paths (hotspots) on college campuses that are likely to have a bicycle collision and predict the likelihood of a serious bicycle crash on a non-motorized path based on the characteristics of the path. This study identifies those interactions between bicyclists and pedestrians on non-motorized paths on a suburban college campus in Newark, USA. Findings suggest that pedestrian density of a path is a major factor in the maximum speed bicyclists can achieve. The wider the path is, the higher the maximum speed is that a bicyclist can obtain. This is because a wider path width decreases the pedestrian density. The grade of the path has little effect on bicycle speeds. The results of the models were displayed on a GIS map that is visually appealing to a viewer. The paths were color coded based on their level of safety, so it is easy to observe problematic areas of the network. This technique can be applied to the entire campus network of non-motorized paths to study the whole system. This can then be used by planners and designers to identify areas that need upgrading and improve the overall safety of the non-motorized path system.

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“…The p-values of the Wilcoxon signed-rank test [41] are tabulated in Table 3 (the significant p-values are in bold). The null hypothesis was accepted for 8 pairs out of 21 pairs compared.…”

Section: Preliminary Analysismentioning

confidence: 99%

Public Transit Bus Travel Time Variability Analysis Using Limited Datasets: A Case Study

Ashwini Bukanakere Prakash,

Sumathi,

Satyanarayana Sudhira

2024

Curr. Appl. Sci. Technol.

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Public transit service is a sustainable and eco-friendly alternative for commuting, and promoting its usage is the need of the day. An understanding of the variability of travel time can aid service operators to improve the reliability and ridership of public transport. Gaining insights into the variability of travel time is a data-intensive task, and most of the existing studies utilize multiple traffic-related datasets. However, most cities lack the infrastructure to collect multiple data sets, hence in the current study, the location data of public transit buses were used for the analysis. The study was conducted in Tumakuru city, India at two spatial levels, namely route and segment, and further at temporal levels such as the day-of-the-week and departure time window. Wilcoxon signed-rank test was applied to identify similar spatial-temporal aggregations, and a few aggregations demonstrated similarity. Consistent with the existing literature, six statistical distributions were selected to fit the data through the Kolmogorov-Smirnov test. The results emphasized that the Logistic distribution is the best fit at all spatial-temporal aggregation levels, and the lognormal and GEV distributions offered better fit for a few aggregation levels. Logistic distribution is recommended for operations planners and researchers to conduct reliability analysis and travel time forecasting in the future.

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Evaluation of the Accuracy and Automation of Travel Time and Delay Data Collection Methods

Cited by 7 publications

References 16 publications

Pedestrian Facilities Capacity and Level of Service at Intersections in a Connected and Autonomous Vehicle Environment

Pedestrian Facilities Capacity and Level of Service at Intersections in a Connected and Autonomous Vehicle Environment

Modeling Bicycle Conflict on Non-Motorized Paths on Suburban College Campuses

Public Transit Bus Travel Time Variability Analysis Using Limited Datasets: A Case Study

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