Relevant bibliographies by topics / Value of Travel Time Reliability

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Value of Travel Time Reliability'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Value of Travel Time Reliability"

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Nam, Doohee, Dongjoo Park, and Apichat Khamkongkhun. "Estimation of value of travel time reliability." Journal of Advanced Transportation 39, no. 1 (2005): 39–61. http://dx.doi.org/10.1002/atr.5670390105.

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Beaud, Mickaël, Thierry Blayac, and Maïté Stéphan. "Value of Travel Time Reliability: Two Alternative Measures." Procedia - Social and Behavioral Sciences 54 (October 2012): 349–56. http://dx.doi.org/10.1016/j.sbspro.2012.09.754.

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Uchida, Kenetsu. "Estimating the value of travel time and of travel time reliability in road networks." Transportation Research Part B: Methodological 66 (August 2014): 129–47. http://dx.doi.org/10.1016/j.trb.2014.01.002.

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Cho, Hanseon. "A Study of the Value of Travel Time Reliability." Journal of the Korean Society of Road Engineers 15, no. 4 (2013): 155–65. http://dx.doi.org/10.7855/ijhe.2013.15.4.155.

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Fu, Fengjie, Dongfang Ma, Dianhai Wang, and Wei Qian. "An Optimization Method of Time Window Based on Travel Time and Reliability." Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/921480.

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The dynamic change of urban road travel time was analyzed using video image detector data, and it showed cyclic variation, so the signal cycle length at the upstream intersection was conducted as the basic unit of time window; there was some evidence of bimodality in the actual travel time distributions; therefore, the fitting parameters of the travel time bimodal distribution were estimated using the EM algorithm. Then the weighted average value of the two means was indicated as the travel time estimation value, and the Modified Buffer Time Index (MBIT) was expressed as travel time variabilit
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Duddu, Venkata R., Srinivas S. Pulugurtha, and Praveena Penmetsa. "Illustrating the Monetary Impact of Transportation Projects/Alternatives using the Values of Travel Time and Travel Time Reliability." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 51 (2018): 88–98. http://dx.doi.org/10.1177/0361198118790378.

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State agencies, regional agencies, cities, towns, and local municipalities design and maintain transportation systems for the benefit of users by improving mobility, reducing travel time, and enhancing safety. Cost–benefit analysis based on travel time savings and the value of reliability helps these agencies in prioritizing transportation projects or when evaluating transportation alternatives. This paper illustrates the use of monetary values of travel time savings and travel time reliability, computed for the state of North Carolina, to help assess the impact of transportation projects or a
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van Lint, J. W. C., and H. J. van Zuylen. "Monitoring and Predicting Freeway Travel Time Reliability." Transportation Research Record: Journal of the Transportation Research Board 1917, no. 1 (2005): 54–62. http://dx.doi.org/10.1177/0361198105191700107.

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Generally, the day-to-day variability of route travel times on, for example, freeway corridors is considered closely related to the reliability of a road network. The more that travel times on route r are dispersed in a particular time-of-day (TOD) and day-of-week (DOW) period, the more unreliable travel times on route r are conceived to be. In the literature, many different aspects of the day-to-day travel time distribution have been proposed as indicators of reliability. Mean and variance do not provide much insight because those metrics tend to obscure important aspects of the distribution
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Carrion, Carlos, and David Levinson. "Value of travel time reliability: A review of current evidence." Transportation Research Part A: Policy and Practice 46, no. 4 (2012): 720–41. http://dx.doi.org/10.1016/j.tra.2012.01.003.

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Gaonkar, Rajesh S. Prabhu, Akshay V. Nigalye, and Sunay P. Pai. "Possibilistic Approach for Travel Time Reliability Evaluation." International Journal of Mathematical, Engineering and Management Sciences 6, no. 1 (2020): 223–43. http://dx.doi.org/10.33889/ijmems.2021.6.1.014.

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Travel time estimation & reliability evaluation of any means of transportation in every type of travel mode- land, rail, sea and air has been of immense interest of the researchers; primarily due to growing economic concern in the field of logistics & passenger movement. In situations like quantitative data inaccessibility or data imprecision, fuzzy set based possibilistic approach is recognized as a practical choice in obtaining the reliability estimates. This paper proposes and advocates possibilistic approach for travel time reliability computation of any type transportation vehicle
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Dubernet, Ilka, and Kay W. Axhausen. "The German value of time and value of reliability study: the survey work." Transportation 47, no. 3 (2019): 1477–513. http://dx.doi.org/10.1007/s11116-019-10052-4.

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Abstract In 2012 Germany’s Federal Ministry of Transport and Digital Infrastructure (BMVI) initiated several projects in preparation of the new Federal Transport Infrastructure Plan (BVWP) 2030. This included an update of the general methodology and in particular of its cost–benefit analysis which is used to evaluate the effects of hundreds of German infrastructure projects under study. As part of the work the first official values of time (VOT) and values of reliability (VOR) for personal and business travel for Germany derived from a stated preference survey were estimated. From May 2012 unt
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Dissertations / Theses on the topic "Value of Travel Time Reliability"

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Shams, Kollol 3085942. "Understanding the Value of Travel Time Reliability for Freight Transportation to Support Freight Planning." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2828.

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Today’s logistics practices are moving from inventory-based push supply chains to replenishment-based pull supply chains, leading to a lower and less centralized inventory, smaller shipment sizes, and more just-in-time deliveries. As a result, industries are now demanding greater reliability in freight transportation. Delays and uncertainty in freight transportation translate directly into additional inventory, higher manufacturing costs, less economic competitiveness for businesses, and higher costs of goods that are being passed on to the consumers. Given the growing demand in freight transp
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Kroes, Eric, Paul Koster, and Stefanie Peer. "A practical method to estimate the benefits of improved road network reliability: an application to departing air passengers." Springer, 2018. http://dx.doi.org/10.1007/s11116-017-9764-4.

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This paper develops and applies a practical method to estimate the benefits of improved reliability of road networks. We present a general methodology to estimate the scheduling costs due to travel time variability for car travel. In contrast to existing practical methods, we explicitly consider the effect of travel time variability on departure time choices. We focus on situations when only mean delays are known, which is typically the case when standard transport models are used. We first show how travel time variability can be predicted from mean delays. We then estimate the schedulin
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Wood, Nicholas Stephen. "Assessing the marginal cost of freeway congestion for vehicle fleets using passive GPS speed data." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34798.

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This thesis examines the marginal cost of congested travel to a variety of businesses by observing time spent in congestion and estimating excess labor costs based upon the relevant value of time. The fleets in the scoping study represented commercial deliveries of goods and services, government agencies, and transit systems. Observations on limited-access expressways within the 13-county Atlanta metropolitan region were used in the analysis. Vehicles were monitored by using a passive GPS assembly that transmitted speed and location data in real-time to an off-site location. Installation a
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Adams, David Lewis. "Integrating travel time reliability into management of highways." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 52 p, 2008. http://proquest.umi.com/pqdweb?did=1459913561&sid=3&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Smith, Galen T. "Evaluating Arterial Congestion and Travel Time Reliability Performance." UKnowledge, 2016. http://uknowledge.uky.edu/ce_etds/46.

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This thesis presents an investigation of arterial travel time and reliability. Specifically an examination of the proposed arterial travel time reliability performance measures detailed in Federal Highway Administration’s Notice of Proposed Rulemaking on national performance management measures are performed. These measures, including level of travel time reliability and peak hour travel time ratio, are computed and compared to those currently used to quantify congestion and travel time reliability. Within this process several commonly used data sources are evaluated to determine the effects o
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Zhang, Xu. "INCORPORATING TRAVEL TIME RELIABILITY INTO TRANSPORTATION NETWORK MODELING." UKnowledge, 2017. http://uknowledge.uky.edu/ce_etds/54.

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Travel time reliability is deemed as one of the most important factors affecting travelers’ route choice decisions. However, existing practices mostly consider average travel time only. This dissertation establishes a methodology framework to overcome such limitation. Semi-standard deviation is first proposed as the measure of reliability to quantify the risk under uncertain conditions on the network. This measure only accounts for travel times that exceed certain pre-specified benchmark, which offers a better behavioral interpretation and theoretical foundation than some currently used measur
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Swärdh, Jan-Erik. "Commuting time choice and the value of travel time /." Örebro : Örebro Universitet, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-8524.

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Swärdh, Jan-Erik. "Commuting time choice and the value of travel time." Doctoral thesis, Örebro universitet, Handelshögskolan vid Örebro universitet, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-8524.

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In the modern industrialized society, a long commuting time is becoming more and more common. However, commuting results in a number of different costs, for example, external costs such as congestion and pollution as well as internal costs such as individual time consumption. On the other hand, increased commuting opportunities offer welfare gains, for example via larger local labor markets. The length of the commute that is acceptable to the workers is determined by the workers' preferences and the compensation opportunities in the labor market. In this thesis the value of travel time or comm
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Alvarez, Patricio A. "A Methodology to Estimate Time Varying User Responses to Travel Time and Travel Time Reliability in a Road Pricing Environment." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/631.

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Road pricing has emerged as an effective means of managing road traffic demand while simultaneously raising additional revenues to transportation agencies. Research on the factors that govern travel decisions has shown that user preferences may be a function of the demographic characteristics of the individuals and the perceived trip attributes. However, it is not clear what are the actual trip attributes considered in the travel decision- making process, how these attributes are perceived by travelers, and how the set of trip attributes change as a function of the time of the day or from day
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Yang, Shu, and Shu Yang. "Estimating Freeway Travel Time Reliability for Traffic Operations and Planning." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/623003.

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Travel time reliability (TTR) has attracted increasing attention in recent years, and is often listed as one of the major roadway performance and service quality measures for both traffic engineers and travelers. Measuring travel time reliability is the first step towards improving travel time reliability, ensuring on-time arrivals, and reducing travel costs. Four components may be primarily considered, including travel time estimation/collection, quantity of travel time selection, probability distribution selection, and TTR measure selection. Travel time is a key transportation performance me
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Books on the topic "Value of Travel Time Reliability"

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Noland, Rutgers University Robert B., and Abt Associates Stan Hsieh. Estimating the Value of Truck Travel Time Reliability. Transportation Research Board, 2019. http://dx.doi.org/10.17226/25655.

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Sadabadi, Kaveh Farokhi, Sevgi Erdogan, Thomas H. Jacobs, Fredrick W. Ducca, and Lei Zhang. Value of Travel Time Reliability in Transportation Decision Making: Proof of Conceptâ€"Maryland. Transportation Research Board, 2014. http://dx.doi.org/10.17226/22280.

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Arizona, The University of, and Portland Metro. Value of Travel Time Reliability in Transportation Decision Making: Proof of Conceptâ€"Portland, Oregon, Metro. Transportation Research Board, 2014. http://dx.doi.org/10.17226/22313.

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Zegeer, John D., Brandon Nevers, and Wayne Kittelson. A Framework for Improving Travel Time Reliability. Transportation Research Board, 2013. http://dx.doi.org/10.17226/22532.

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Kuhn, Beverly, Laura Higgins, Alicia Nelson, et al. Lexicon for Conveying Travel Time Reliability Information. Transportation Research Board, 2013. http://dx.doi.org/10.17226/22604.

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Second Strategic Highway Research Program (U.S.), Kimley-Horn and Associates, and Parsons Brinckerhoff, eds. Integrating business processes to improve travel time reliability. Transportation Research Board, 2011.

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Pretorius, Pierre, Thomas M. Fowler, Lisa M. Burgess, et al. Integrating Business Processes to Improve Travel Time Reliability. National Academies Press, 2011. http://dx.doi.org/10.17226/14510.

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Kittelson & Associates. Evaluating alternative operations strategies to improve travel time reliability. Transportation Research Board, 2013.

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Kittelson, Wayne, and Mark Vandehey. Incorporating Travel Time Reliability into the Highway Capacity Manual. Transportation Research Board, 2014. http://dx.doi.org/10.17226/22487.

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Pretorius, Pierre, Thomas M. Fowler, Lisa M. Burgess, et al. Guide to Integrating Business Processes to Improve Travel Time Reliability. National Academies Press, 2011. http://dx.doi.org/10.17226/14511.

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Book chapters on the topic "Value of Travel Time Reliability"

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Liu, Henry X., Will Recker, and Anthony Chen. "Travel Time Reliability." In Assessing the Benefits and Costs of ITS. Springer US, 2004. http://dx.doi.org/10.1007/1-4020-7874-9_13.

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Soriguera Martí, Francesc. "Value of Highway Information Systems." In Highway Travel Time Estimation With Data Fusion. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48858-4_7.

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Wakabayashi, Hiroshi. "Travel Time Reliability Indices for Highway Users and Operators." In Transportation Research, Economics and Policy. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0947-2_6.

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Amrutsamanvar, Rushikesh, Gaurang Joshi, Shriniwas S. Arkatkar, and Ravi Sekhar Chalumuri. "Empirical Travel Time Reliability Assessment of Indian Urban Roads." In Recent Advances in Traffic Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3742-4_11.

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Hensher, David A. "Behavioral Value of Travel Time Savings in Personal and Commercial Automobile Travel." In The Full Costs and Benefits of Transportation. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59064-1_9.

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Ma, Dan. "Hybrid Genetic Algorithm for Travel Time Reliability of Optimal Path." In Global Security, Safety, and Sustainability. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04062-7_10.

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Kováčiková, Tatiana, Giuseppe Lugano, and Ghadir Pourhashem. "From Travel Time and Cost Savings to Value of Mobility." In Lecture Notes in Networks and Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74454-4_3.

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Lu, Yixiao, and Fujian Wang. "Travel Time Reliability Analysis of Arterial Road Based on Burr Distribution." In Smart Innovation, Systems and Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2324-0_5.

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Reiners, T. "Numerical Inversion of Travel Time Observations by Boundary Value Problem Methods." In Geophysical Data Inversion Methods and Applications. Vieweg+Teubner Verlag, 1990. http://dx.doi.org/10.1007/978-3-322-89416-8_33.

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Wei, Chong, Yasuo Asakura, and Takamasa Iryo. "A Link-Based Stochastic Traffic Assignment Model for Travel Time Reliability Estimation." In Transportation Research, Economics and Policy. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0947-2_12.

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Conference papers on the topic "Value of Travel Time Reliability"

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Park, Sangjun, Hesham Rakha, and Feng Guo. "Multi-state travel time reliability model: Impact of incidents on travel time reliability." In 2011 14th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2011). IEEE, 2011. http://dx.doi.org/10.1109/itsc.2011.6082874.

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Rakha, H. A., I. EL-Shawarby, M. Arafeh, and F. Dion. "Estimating Path Travel-Time Reliability." In 2006 IEEE Intelligent Transportation Systems Conference. IEEE, 2006. http://dx.doi.org/10.1109/itsc.2006.1706748.

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Xiong, Zhihua, Chunfu Shao, and Zhisheng Yao. "Fuzzy Travel Time Reliability with Uncertainty." In 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery. IEEE, 2009. http://dx.doi.org/10.1109/fskd.2009.509.

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Day, Christopher, Stephen Remias, Howell Li, et al. "Performance Ranking of Arterial Corridors Using Travel Time and Travel Time Reliability Metrics." In Automated Traffic Signal Performance Measure Workshop. Purdue University, 2016. http://dx.doi.org/10.5703/1288284316049.

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De-feng, Lv, and Guo Xiu-cheng. "Study on Path Travel Time Reliability Model." In 2011 International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2011. http://dx.doi.org/10.1109/icicta.2011.238.

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Wang, Shuopeng, Hu Shao, Li Tao, and Qinjian Ni. "Travel Time Reliability-Based Optimal Path Finding." In 2010 Third International Joint Conference on Computational Science and Optimization. IEEE, 2010. http://dx.doi.org/10.1109/cso.2010.138.

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Park, Minchoul, Suhyeon Kim, Changho Park, and Kyungsoo Chon. "Transportation Network Design Considering Travel Time Reliability." In 2007 IEEE Intelligent Transportation Systems Conference. IEEE, 2007. http://dx.doi.org/10.1109/itsc.2007.4357667.

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Zhao, Liuhui, and Steven I.-Jy Chien. "Analysis of Weather Impact on Travel Speed and Travel Time Reliability." In The Twelfth COTA International Conference of Transportation Professionals. American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412442.117.

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Arezoumandi, M., and G. H. Bham. "Travel Time Reliability Estimation: Use of Median Travel Time as Measure of Central Tendency." In First Congress of Transportation and Development Institute (TDI). American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41167(398)7.

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Liu, Jianrong, and Wei Deng. "Network Capacity Research Based on Travel Time Reliability." In 2010 International Conference on E-Product E-Service and E-Entertainment (ICEEE 2010). IEEE, 2010. http://dx.doi.org/10.1109/iceee.2010.5660351.

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Reports on the topic "Value of Travel Time Reliability"

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Carrion-Madera, Carlos. Value of Travel-Time Reliability: Commuters’ Route-Choice Behavior in the Twin Cities. Portland State University Library, 2011. http://dx.doi.org/10.15760/trec.65.

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Martchouk, Maria, Fred Mannering, and Lakhwinder Singh. Travel Time Reliability in Indiana. Purdue University, 2011. http://dx.doi.org/10.5703/1288284314263.

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Concas, Sisinnio. Synthesis of Research on Value of Time and Value of Reliability. University of South Florida, 2009. http://dx.doi.org/10.5038/cutr-nctr-rr-2008-03.

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Figliozzi, Miguel. Analysis of Travel Time Reliability for Freight Corridors Connecting the Pacific Northwest. Portland State University Library, 2012. http://dx.doi.org/10.15760/trec.110.

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Feng, Wei. Analyses of Bus Travel Time Reliability and Transit Signal Priority at the Stop-To-Stop Segment Level. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.1831.

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Kodupuganti, Swapneel R., Sonu Mathew, and Srinivas S. Pulugurtha. Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1802.

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The rapid growth in population and related demand for travel during the past few decades has had a catalytic effect on traffic congestion, air quality, and safety in many urban areas. Transportation managers and planners have planned for new facilities to cater to the needs of users of alternative modes of transportation (e.g., public transportation, walking, and bicycling) over the next decade. However, there are no widely accepted methods, nor there is enough evidence to justify whether such plans are instrumental in improving mobility of the transportation system. Therefore, this project re
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Lewis, Sherman, Emilio Grande, and Ralph Robinson. The Mismeasurement of Mobility for Walkable Neighborhoods. Mineta Transportation Institute, 2020. http://dx.doi.org/10.31979/mti.2020.2060.

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The major US household travel surveys do not ask the right questions to understand mobility in Walkable Neighborhoods. Yet few subjects can be more important for sustainability and real economic growth based on all things of value, including sustainability, affordability, and quality of life. Walkable Neighborhoods are a system of land use, transportation, and transportation pricing. They are areas with attractive walking distances of residential and local business land uses of sufficient density to support enough business and transit, with mobility comparable to suburbia and without owning an
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Kim, Joseph J., Samuel Dominguez, and Luis Diaz. Freight Demand Model for Southern California Freeways with Owner–Operator Truck Drivers. Mineta Transportation Institute, 2020. http://dx.doi.org/10.31979/mti.2020.1931.

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This study evaluates the demand for truck-only toll lanes on Southern California freeways with owner–operator truck drivers. The study implemented the stated preference survey method to estimate the value placed by drivers on time, reliability, and safety measures using various scenarios geared towards assessing those values. The project team met face-to-face with owner- operator truck drivers near the Ports of Los Angeles and Long Beach to understand the drivers’ perspectives regarding truck-only toll lanes on Southern California freeways. A data set containing 31 survey responses is obtained
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Improving Value of Travel Time Savings Estimation for More Effective Transportation Project Evaluation. University of South Florida, 2011. http://dx.doi.org/10.5038/cutr-nctr-rr-2010-07.

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