Estimation and valuation of travel time reliability for transportation planning applications

Mishra, Sabyasachee; Tang, Liang; Ghader, Sepehr; Mahapatra, Subrat; Zhang, Lei

doi:10.1016/j.cstp.2017.11.005

Cited by 20 publications

(10 citation statements)

References 33 publications

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“…The results of dynamic modeling of the cargo delivery process on urban routes, formula (11) with the change in cargo weight m=5÷15 tons and traffic jams on a route IR=1.0÷0.7 are shown in Fig. 1, 2.…”

Section: Results Of Mathematical Modeling Of Reliability Of Transpmentioning

confidence: 99%

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Modeling of reliability of logistic systems of urban freight transportation taking into account street congestion

Vojtov

Kutiya

Berezhnaja

et al. 2019

EEJET

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Виконано математичну постановку задачi формування мiських вантажних перевезень. Розроблено структуру системної iнформацiйної моделi, яка враховує матерiальний, енергетичний та iнформацiйний потоки. Представлено математичнi вирази для розрахунку критерiю вибору рацiональних маршрутiв-добротнiсть маршруту. Критерiй враховує можливостi логiстичного центру (його iнформативнiсть), масу перевезеного вантажу, завантаженiсть маршруту (затори), вiдстань перевезення й реальний час доставки вантажу. Його особливою рисою є те, що вiн визначається в онлайн-режимi i враховує динамiку завантаженостi маршрутiв впродовж робочої змiни. Розроблено динамiчну модель затримок у прийняттi рiшень у логiстичних ланцюгах мiських вантажних перевезень. Модель дозволяє розрахувати час обробки заявок на транспортне обслуговування i час на саме транспортне обслуговування. Показано, що сумарний час доставки вантажу складається iз часу знаходження транспортного засобу на маршрутi, з урахуванням опору маршруту i часу затримок у всiх логiстичних ланцюгах системи. Розроблено математичну модель оцiнки надiйностi вантажних мiських перевезень з урахуванням завантаженостi вулиць. Модель функцiонує в онлайн-режимi та дозволяє визначати параметри транспортного процесу, якi враховують наявнiсть заторiв на вулицях мiста. Запропоновано критерiй оцiнки надiйностi логiстичної системи вантажних мiських перевезень-коефiцiєнт надiйностi. Критерiй враховує час проходження транспортним засобом маршруту i час затримок у прийняттi заявок на обслуговування в логiстичному центрi, а також час затримок на транспортному пiдприємствi. Показано, що при вiдсутностi затримок у логiстичних ланцюгах коефiцiєнт надiйностi дорiвнює одиницi, при наявностi затримки-коефiцiєнт надiйностi менше одиницi. Визначено фiзичний змiст критерiю надiйностi-це частка невиконання заявок на транспортне обслуговування точно в строк Ключовi слова: вантажнi перевезення, коефiцiєнт надiйностi, добротнiсть маршруту, мiськi затори, вулична мережа

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Section: Results Of Mathematical Modeling Of Reliability Of Transpmentioning

confidence: 99%

“…The papers [10,11] are devoted to reliability assessment of transport services. On the basis of the analysis of transport networks, the authors found that it is expedient to evaluate them by comparing the reliability criterion.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Modeling of reliability of logistic systems of urban freight transportation taking into account street congestion

Vojtov

Kutiya

Berezhnaja

et al. 2019

EEJET

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show abstract

“…Because the hypercongestion externality depends on both the value of the breakdown probability and the marginal breakdown probability, the overall effect on the hypercongestion externality is ambiguous. Because travel time costs are relatively higher in hypercongestion [55][56][57], and commuters may be risk avers and prefer reliability [31][32][33], using the values of the German methodology handbook for the federal infrastructure plan, we rather underestimate the hypercongestion externality.…”

Section: Discussionmentioning

confidence: 99%

“…There is evidence that values of travel time are higher in heavily-congested traffic than under free-flow conditions because stop-and-go driving is frustrating[55][56][57] Allowing for this effect would increase the marginal external costs of congestion. Slower highway traffic induces progressively fewer severe accidents[58] as well as a better environmental performance[59].…”

mentioning

confidence: 99%

Quantifying the phantom jam externality: the case of an Autobahn section in Germany

Goldmann

Sieg

2021

Eur. Transp. Res. Rev.

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If not restricted by tolls, private decisions to drive on a highway result in inefficiently high usage which leads to traffic jams. When traffic demand is high, traffic jams can occur simply because of the interaction of vehicle drivers on the road, a phenomenon called phantom jam. The probability of phantom jams occurring increases with traffic flow. Unpriced externalities lead to inefficiently high road usage. We offer a method for quantifying traffic jam externalities and identifying and isolating the phantom jam externality. We examine the method by applying it to a specific highway section in Germany. The maximal congestion externality for the analyzed highway section is about 38 cents per vehicle and kilometer. Congestion charges that are calculated ignoring phantom jam externalities, can only internalize two-thirds of the true externality.

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“…Wael [6] investigated the impact of roadworks undertaken on a given road link over wider parts of the network and assessed network travel time reliability by setting up a network assignment model. Sabyasachee [7] proposed a method based on empirically observed travel time data, to measure and determine the value of travel time reliability, estimate changes in it, and incorporate reliability in the transportation planning process. Vincenza [8] proposed a methodology for estimating travel time reliability of an extended road network, through the calibration of empirical relations and the finding's representation on GIS maps with a dynamic simulation model.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Transportation Network Reliability under Emergency Based on Reserve Capacity

Zhang

Zhong

Luo

2019

Journal of Advanced Transportation

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There are differences between the requirements for traffic network for traffic demand in daily and emergency situations. In order to evaluate how the network designed for daily needs can meet the surging demand for emergency evacuation, the concept of emergency reliability and corresponding evaluation method is proposed. This paper constructs a bilevel programming model to describe the proposed problem. The upper level problem takes the maximum reserve capacity multiplier as the optimization objective and considers the influence of reversible lane measures taken under emergency conditions. The lower level model adopts the combined traffic distribution/assignment model with capacity limits, to describe evacuees’ path and shelter choice behavior under emergency conditions and take into account the traits of crowded traffic. An iterative optimization method is proposed to solve the upper level model, and the lower level model is transformed into a UE assignment problem with capacity limits over a network of multiple origins and single destination, by adding a dummy node and several dummy links in the network. Then a dynamic penalty function algorithm is used to solve the problem. In the end, numerical studies and results are provided to demonstrate the rationality of the proposed model and feasibility of the proposed solution algorithms.

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Estimation and valuation of travel time reliability for transportation planning applications

Cited by 20 publications

References 33 publications

Modeling of reliability of logistic systems of urban freight transportation taking into account street congestion

Modeling of reliability of logistic systems of urban freight transportation taking into account street congestion

Quantifying the phantom jam externality: the case of an Autobahn section in Germany

Evaluation of Transportation Network Reliability under Emergency Based on Reserve Capacity

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