The Experts below are selected from a list of 52785 Experts worldwide ranked by ideXlab platform

Xuegang Ban - One of the best experts on this subject based on the ideXlab platform.

  • modeling multimodal transportation network emergency evacuation considering evacuees Cooperative Behavior
    Transportation Research Part A-policy and Practice, 2018
    Co-Authors: Xia Yang, Xuegang Ban, John E Mitchell
    Abstract:

    Abstract Modeling emergency evacuation could help reduce losses and damages from disasters. In this paper, based on the system optimum principle, we develop a multimodal evacuation model that considers multiple transportation modes and their interactions, and captures the proper traffic dynamics including the congestion effects, the Cooperative Behavior of evacuees, and the capacities of the transportation system and the shelters. We further develop a Method of Successive Average (MSA)-based sequential optimization algorithm for large-scale evacuation problems. Both the proposed model and the solution algorithm are tested and validated through a set of numerical tests on a small network, and a detailed case study on the Lower Manhattan network. The results of the paper can provide insight on modeling flow interactions of different transportation modes and useful guidance on developing evacuation strategies to reduce the system evacuation time and losses from disasters.

  • Modeling multimodal transportation network emergency evacuation considering evacuees' Cooperative Behavior
    Transportation Research Procedia, 2017
    Co-Authors: Xia Yang, Xuegang Ban, John Mitchell
    Abstract:

    Modeling emergency evacuation could help reduce losses and damages from disasters. In this paper, based on the system optimum principle, we develop a multimodal evacuation model that considers multiple transportation modes and their interactions, and captures the proper traffic dynamics including the congestion effects, the Cooperative behaviour of evacuees, and the capacities of the transportation system and the shelters. We further develop a Method of Successive Average (MSA)-based sequential optimization algorithm for large-scale evacuations. Both the proposed model and the solution algorithm are tested and validated through a set of numerical tests on a small network, and a detailed case study on the Lower Manhattan network. The results of the paper can provide insight on modeling flow interactions of different transportation modes and useful guidance on developing evacuation strategies to reduce the system evacuation time and losses from disasters.

John E Mitchell - One of the best experts on this subject based on the ideXlab platform.

  • modeling multimodal transportation network emergency evacuation considering evacuees Cooperative Behavior
    Transportation Research Part A-policy and Practice, 2018
    Co-Authors: Xia Yang, Xuegang Ban, John E Mitchell
    Abstract:

    Abstract Modeling emergency evacuation could help reduce losses and damages from disasters. In this paper, based on the system optimum principle, we develop a multimodal evacuation model that considers multiple transportation modes and their interactions, and captures the proper traffic dynamics including the congestion effects, the Cooperative Behavior of evacuees, and the capacities of the transportation system and the shelters. We further develop a Method of Successive Average (MSA)-based sequential optimization algorithm for large-scale evacuation problems. Both the proposed model and the solution algorithm are tested and validated through a set of numerical tests on a small network, and a detailed case study on the Lower Manhattan network. The results of the paper can provide insight on modeling flow interactions of different transportation modes and useful guidance on developing evacuation strategies to reduce the system evacuation time and losses from disasters.

T H Cluttonbrock - One of the best experts on this subject based on the ideXlab platform.

  • contributions of genetic and nongenetic sources to variation in Cooperative Behavior in a Cooperative mammal
    Evolution, 2021
    Co-Authors: Thomas M Houslay, T H Cluttonbrock, Johanna F Nielsen
    Abstract:

    The evolution of Cooperative Behavior is a major area of research among evolutionary biologists and Behavioral ecologists, yet there are few estimates of its heritability or its evolutionary potential, and long-term studies of identifiable individuals are required to disentangle genetic and nongenetic components of Cooperative Behavior. Here, we use long-term data on over 1800 individually recognizable wild meerkats (Suricata suricatta) collected over 30 years and a multigenerational genetic pedigree to partition phenotypic variation in three Cooperative Behaviors (babysitting, pup feeding, and sentinel Behavior) into individual, additive genetic, and other sources, and to assess their repeatability and heritability. In addition to strong effects of sex, age, and dominance status, we found significant repeatability in individual contributions to all three types of Cooperative Behavior both within and across breeding seasons. Like most other studies of the heritability of social Behavior, we found that the heritability of Cooperative Behavior was low. However, our analysis suggests that a substantial component of the repeatable individual differences in Cooperative Behavior that we observed was a consequence of additive genetic variation. Our results consequently indicate that Cooperative Behavior can respond to selection, and suggest scope for further exploration of the genetic basis of social Behavior.

  • differences in Cooperative Behavior among damaraland mole rats are consequences of an age related polyethism
    Proceedings of the National Academy of Sciences of the United States of America, 2016
    Co-Authors: Markus Zöttl, Philippe Vullioud, Rute Mendonca, Miquel Torrents Tico, D Gaynor, Adam Mitchell, T H Cluttonbrock
    Abstract:

    Abstract In many Cooperative breeders, the contributions of helpers to Cooperative activities change with age, resulting in age-related polyethisms. In contrast, some studies of social mole rats (including naked mole rats, Heterocephalus glaber, and Damaraland mole rats, Fukomys damarensis) suggest that individual differences in Cooperative Behavior are the result of divergent developmental pathways, leading to discrete and permanent functional categories of helpers that resemble the caste systems found in eusocial insects. Here we show that, in Damaraland mole rats, individual contributions to Cooperative Behavior increase with age and are higher in fast-growing individuals. Individual contributions to different Cooperative tasks are intercorrelated and repeatability of Cooperative Behavior is similar to that found in other Cooperatively breeding vertebrates. Our data provide no evidence that nonreproductive individuals show divergent developmental pathways or specialize in particular tasks. Instead of representing a caste system, variation in the Behavior of nonreproductive individuals in Damaraland mole rats closely resembles that found in other Cooperatively breeding mammals and appears to be a consequence of age-related polyethism.

Xia Yang - One of the best experts on this subject based on the ideXlab platform.

  • modeling multimodal transportation network emergency evacuation considering evacuees Cooperative Behavior
    Transportation Research Part A-policy and Practice, 2018
    Co-Authors: Xia Yang, Xuegang Ban, John E Mitchell
    Abstract:

    Abstract Modeling emergency evacuation could help reduce losses and damages from disasters. In this paper, based on the system optimum principle, we develop a multimodal evacuation model that considers multiple transportation modes and their interactions, and captures the proper traffic dynamics including the congestion effects, the Cooperative Behavior of evacuees, and the capacities of the transportation system and the shelters. We further develop a Method of Successive Average (MSA)-based sequential optimization algorithm for large-scale evacuation problems. Both the proposed model and the solution algorithm are tested and validated through a set of numerical tests on a small network, and a detailed case study on the Lower Manhattan network. The results of the paper can provide insight on modeling flow interactions of different transportation modes and useful guidance on developing evacuation strategies to reduce the system evacuation time and losses from disasters.

  • Modeling multimodal transportation network emergency evacuation considering evacuees' Cooperative Behavior
    Transportation Research Procedia, 2017
    Co-Authors: Xia Yang, Xuegang Ban, John Mitchell
    Abstract:

    Modeling emergency evacuation could help reduce losses and damages from disasters. In this paper, based on the system optimum principle, we develop a multimodal evacuation model that considers multiple transportation modes and their interactions, and captures the proper traffic dynamics including the congestion effects, the Cooperative behaviour of evacuees, and the capacities of the transportation system and the shelters. We further develop a Method of Successive Average (MSA)-based sequential optimization algorithm for large-scale evacuations. Both the proposed model and the solution algorithm are tested and validated through a set of numerical tests on a small network, and a detailed case study on the Lower Manhattan network. The results of the paper can provide insight on modeling flow interactions of different transportation modes and useful guidance on developing evacuation strategies to reduce the system evacuation time and losses from disasters.

Hiroaki Yamaguchi - One of the best experts on this subject based on the ideXlab platform.

  • a Cooperative hunting Behavior by mobile robot troops
    The International Journal of Robotics Research, 1999
    Co-Authors: Hiroaki Yamaguchi
    Abstract:

    This paper presents a novel feedback-control law for coordinating the motion of multiple holonomic mobile robots to capture/enclose a target by making troop formations. This motion coordination is a Cooperative Behavior for security against invaders in surveillance areas. Each robot in this control law has its own coordinate system and it senses a target/invader, other robots and obstacles, to achieve this Cooperative Behavior without making any collision. Although there is no centralized controller and each robot has local feedback that is relative-position feedback, all the robots are asymptotically stabilized, and they make formations enclosing a target. Each robot especially has a vector referred to as a “formation vector,” and the formations are controllable by the vectors. As for determining the formation vectors, we use a reactive-control framework in which robots have some reactions heuristically designed according to this Cooperative Behavior. Therefore, this robotic system is a hybrid system tha...

  • a Cooperative hunting Behavior by mobile robot troops
    International Conference on Robotics and Automation, 1998
    Co-Authors: Hiroaki Yamaguchi
    Abstract:

    Presents a feedback control law for coordinating motions of multiple holonomic mobile robots to capture/enclose a target by forming troop formations. This motion coordination is a Cooperative Behavior for security against invaders in surveillance areas. Each robot, in this control law, has its own coordinate system and it senses a target/invader, other robots and obstacles, to achieve this Cooperative Behavior without making any collision. Although there is no centralized controller and each robot has local feedback that is relative position feedback, all the robots are asymptotically stabilized and they form formations enclosing a target. Each robot especially has a vector called "a formation vector" and formations are controllable by the vectors. As for determining the formation vectors, we use a reactive control framework in which robots have reactions heuristically designed according to this Cooperative Behavior. Therefore, this robotic system is a hybrid system that consists of a feedback control law and a reactive control framework. The validity of this hybrid system is supported by computer simulations.