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Transportation Letters
The International Journal of Transportation Research
Volume 2, 2010 - Issue 2
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Original

Relaxing the multivariate normality assumption in the simulation of transportation system dependencies: an old technique in a new domain

ManWo Ng
,
Kara Kockelman
&
S. Waller
Pages 63-74 | Published online: 07 Sep 2013

Citations (14)

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Read on this site (3)

Meiping Yun, Wenwen Qin, Xiaoguang Yang & Feiwen Liang. (2019) Estimation of urban route travel time distribution using Markov chains and pair-copula construction. Transportmetrica B: Transport Dynamics 7:1, pages 1521-1552.
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Mohammad Torkjazi, Parisa Sadat Mirjafari & Hossain Poorzahedy. (2018) Reliability-based network flow estimation with day-to-day variation: A model validation on real large-scale urban networks. Journal of Intelligent Transportation Systems 22:2, pages 121-143.
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Soora Rasouli & Harry Timmermans. (2012) Uncertainty in travel demand forecasting models: literature review and research agenda. Transportation Letters 4:1, pages 55-73.
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Articles from other publishers (11)

Yi Yu, Mengwei Chen, Hongsheng Qi & Dianhai Wang. (2020) Copula-Based Travel Time Distribution Estimation Considering Channelization Section Spillover. IEEE Access 8, pages 32850-32861.
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Feng Zhu & Satish V. Ukkusuri. (2018) Modeling the Proactive Driving Behavior of Connected Vehicles: A Cell-Based Simulation Approach. Computer-Aided Civil and Infrastructure Engineering 33:4, pages 262-281.
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Wei Ma & Zhen (Sean) Qian. (2017) On the variance of recurrent traffic flow for statistical traffic assignment. Transportation Research Part C: Emerging Technologies 81, pages 57-82.
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ManWo Ng, Rafael Diaz & Joshua Behr. (2016) Inter- and intra-regional evacuation behavior during Hurricane Irene. Travel Behaviour and Society 3, pages 21-28.
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Weiliang Zeng, Tomio Miwa, Yukiko Wakita & Takayuki Morikawa. (2015) Application of Lagrangian relaxation approach to α-reliable path finding in stochastic networks with correlated link travel times. Transportation Research Part C: Emerging Technologies 56, pages 309-334.
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ManWo Ng, Rafael Diaz & Joshua Behr. (2015) Departure time choice behavior for hurricane evacuation planning: The case of the understudied medically fragile population. Transportation Research Part E: Logistics and Transportation Review 77, pages 215-226.
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ManWo Ng. (2015) Container vessel fleet deployment for liner shipping with stochastic dependencies in shipping demand. Transportation Research Part B: Methodological 74, pages 79-87.
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Feng ZhuSatish V. Ukkusuri. (2015) A reinforcement learning approach for distance-based dynamic tolling in the stochastic network environment. Journal of Advanced Transportation 49:2, pages 247-266.
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Feng Zhu & Satish V. Ukkusuri. (2014) Accounting for dynamic speed limit control in a stochastic traffic environment: A reinforcement learning approach. Transportation Research Part C: Emerging Technologies 41, pages 30-47.
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ManWo Ng & Hong K. Lo. (2013) Regional Air Quality Conformity in Transportation Networks with Stochastic Dependencies: A Theoretical Copula-Based Model. Networks and Spatial Economics 13:4, pages 373-397.
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ManWo Ng, W.Y. Szeto & S. Travis Waller. (2011) Distribution-free travel time reliability assessment with probability inequalities. Transportation Research Part B: Methodological 45:6, pages 852-866.
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