Bi‐level programming based contra flow optimization for evacuation events

Lv, Nengchao; Yan, Xinping; Xu, Kun; Wu, Chaozhong

doi:10.1108/03684921011063501

Cited by 14 publications

(6 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On an interrupted-flow facility, flow usually is dominated by points of fixed operation, such as traffic signals and roadside parking. These controls have different impacts on overall flow (23,24). Therefore, TTRIs_UF cannot properly describe the counterpart of interrupted flow.…”

mentioning

confidence: 99%

Travel Time Distribution under Interrupted Flow and Application to Travel Time Reliability

Yang

Yun

Yang

2014

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

The travel time distribution under interrupted flow based on radio frequency identification–detected data is analyzed. The urban road network studied is in downtown Nanjing, Jiangsu Province, in China, where video cameras and radio frequency equipment are installed at some arterial links to acquire traffic flow data including vehicle type, passing time, and spot speed. On the basis of the radio frequency identification data, the travel time distribution under interrupted flow shows a bimodal curve instead of a unimodal curve. This finding suggests that travel times under interrupted flow are not independent and identically distributed and can be divided into two components, the uninterrupted component and the interrupted component, according to whether vehicles experience intersection control delay. Six convex distribution models are presented, and an expectation–maximization algorithm is adopted to obtain the best distribution for each link unit. The results indicate that travel time under interrupted flow generally follows a bimodal distribution. The parameters of the models can distinguish travel times between those encountering delay and those without delay. This finding demonstrates that intersection control delay plays a predominant role in travel times under interrupted flow. Two main travel time reliability indexes under interrupted flow obtained by the parameters of the bimodal distribution, expected travel time and RATIO, are presented as applications. Expected travel times indicate the average levels of travel times of two independent components, and RATIO represents the ratio of the uncertain part of the travel times. The analysis indicates that these two indexes can capture the characteristics of interrupted-flow travel time reliability, which is mainly caused by link length, number of intersections, and mixed traffic flow.

show abstract

mentioning

confidence: 99%

Travel Time Distribution under Interrupted Flow and Application to Travel Time Reliability

Yang

Yun

Yang

2014

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

show abstract

“…To achieve emergency evacuation and provide rapid aid after a catastrophic disaster, Lv, et al [105] proposed a bi-level optimization model to reduce traffic congestion of the transportation network while evacuating people to safe shelters during disasters or special events, in which the upper level aims to minimize the total evacuation time, while the lower level functions on the basis of user equilibrium assignment. A solution method based on discrete PSO and the Frank-Wolfe algorithm was employed to solve the bi-level optimization problem.…”

Section: Safety and Accident Managementmentioning

confidence: 99%

Multilevel decision-making: A survey

Han

et al. 2016

Information Sciences

129

View full text Add to dashboard Cite

Multilevel decision-making techniques aim to deal with decentralized management problems that feature interactive decision entities distributed throughout a multiple level hierarchy.Significant efforts have been devoted to understanding the fundamental concepts and developing diverse solution algorithms associated with multilevel decision-making by researchers in areas of both mathematics/computer science and business areas. Researchers have emphasized the importance of developing a range of multilevel decision-making techniques to handle a wide variety of management and optimization problems in real-world applications, and have successfully gained experience in this area. It is thus vital that a high quality, instructive review of current trends should be conducted, not only of the theoretical research results but also the practical developments in multilevel decision-making in business. This paper systematically reviews up-to-date multilevel decision-making techniques and clusters related technique developments into four main categories: bi-level decision-making (including multi-objective and multi-follower situations), tri-level decision-making, fuzzy multilevel decision-making, and the applications of these techniques in different domains. By providing state-of-the-art knowledge, this survey will directly support researchers and practical professionals in their understanding of developments in theoretical research results and applications in relation to multilevel decision-making techniques.

show abstract

“…However, the literature further indicates that few studies have directly addressed specific issues related to contraflow planning and operation. Kim et al [18] and Lv et al [19] try to determine which lanes in a transportation network should be reversed from a system perspective. Theodoulou and Wolshon [20] and William et al [21] focus on detailed configurations of the starting point of the specified contraflow segment.…”

Section: Problem Statementmentioning

confidence: 99%