COMPLEXCITY: MODELING URBAN MOBILITY

2007 ◽  
Vol 10 (supp02) ◽  
pp. 255-270 ◽  
Author(s):  
ARMANDO BAZZANI ◽  
SANDRO RAMBALDI ◽  
BRUNO GIORGINI ◽  
GIORGIO TURCHETTI
Keyword(s):  
Current Status ◽  
Urban Mobility ◽  
Agent Based ◽  
Cognitive Dynamics ◽  
Vehicle Trajectories ◽  
Single Vehicle ◽  
Private Car ◽  
Physical Interactions ◽  
Individual Citizen ◽  
The Individual

We consider the problem of modeling urban mobility using the complex systems key of lecture. We discuss the properties of the Auto-mobilis model, a virtual simulator for private car mobility based on the individual citizen propensities and the existence of "chronotopoi", which are the primary causes of citizens' mobility requests. Auto-mobilis is a microscopic agent-based model that takes into account both the physical interactions and the cognitive dynamics. We present the current status of the project and discuss the applications to real situations. The model assumptions are justified by a comparison with GPS observational data on single vehicle trajectories.

scholarly journals Promoting Sustainable Mobility: A Perspective from Car and Public Transport Users

2021 ◽  
Vol 18 (9) ◽  
pp. 4715
Author(s):  
Audrius Dėdelė ◽  
Auksė Miškinytė
Keyword(s):  
Public Transport ◽  
Adult Population ◽  
Individual Characteristics ◽  
Urban Mobility ◽  
Sustainable Mobility ◽  
Bicycle Safety ◽  
Key Factor ◽  
The Individual ◽  
Significant Factors

Sustainable mobility is becoming a key factor in improving the quality of life of the residents and increasing physical activity (PA) levels. The current situation of sustainable mobility and its analysis is a first step in understanding the factors that would encourage residents to discover and choose alternative modes of travel. The present study examined the factors that encourage the choice of active modes of travel among urban adult population. Walking and cycling were analyzed as the most sustainable forms of urban mobility from the perspective of car and public transport (PT) users. Total of 902 subjects aged 18 years or older were analyzed in the study to assess commuting habits in Kaunas city, Lithuania. The majority (61.1%) of the respondents used a passenger vehicle, 28.2% used PT, and only 13.5% used active modes of travel. The results showed that safer pedestrian crossings, and comfortable paths were the most significant factors that encourage walking. A wider cycling network, and bicycle safety were the most important incentives for the promotion of cycling. Our findings show that the main factors encouraging walking and cycling among car and PT users are similar, however, the individual characteristics that determine the choice of these factors vary significantly.

scholarly journals Task allocation and site fidelity jointly influence foraging regulation in honeybee colonies

2017 ◽  
Vol 4 (8) ◽  
pp. 170344 ◽  
Author(s):  
Thiago Mosqueiro ◽  
Chelsea Cook ◽  
Ramon Huerta ◽  
Jürgen Gadau ◽  
Brian Smith ◽  
...  
Keyword(s):  
Site Fidelity ◽  
Collective Behaviour ◽  
Trade Off ◽  
Agent Based ◽  
Resource Collection ◽  
Group Members ◽  
Collective Foraging ◽  
The Individual ◽  
Colony Level ◽  
And Task

Variation in behaviour among group members often impacts collective outcomes. Individuals may vary both in the task that they perform and in the persistence with which they perform each task. Although both the distribution of individuals among tasks and differences among individuals in behavioural persistence can each impact collective behaviour, we do not know if and how they jointly affect collective outcomes. Here, we use a detailed computational model to examine the joint impact of colony-level distribution among tasks and behavioural persistence of individuals, specifically their fidelity to particular resource sites, on the collective trade-off between exploring for new resources and exploiting familiar ones. We developed an agent-based model of foraging honeybees, parametrized by data from five colonies, in which we simulated scouts, who search the environment for new resources, and individuals who are recruited by the scouts to the newly found resources, i.e. recruits. We varied the persistence of returning to a particular food source of both scouts and recruits and found that, for each value of persistence, there is a different optimal ratio of scouts to recruits that maximizes resource collection by the colony. Furthermore, changes to the persistence of scouts induced opposite effects from changes to the persistence of recruits on the collective foraging of the colony. The proportion of scouts that resulted in the most resources collected by the colony decreased as the persistence of recruits increased. However, this optimal proportion of scouts increased as the persistence of scouts increased. Thus, behavioural persistence and task participation can interact to impact a colony's collective behaviour in orthogonal directions. Our work provides new insights and generates new hypotheses into how variations in behaviour at both the individual and colony levels jointly impact the trade-off between exploring for new resources and exploiting familiar ones.

Real-Time Prediction of Vehicle Trajectories for Proactively Identifying Risky Driving Behaviors at High-Speed Intersections

2018 ◽  
Vol 2672 (38) ◽  
pp. 233-244 ◽  
Author(s):  
Chaopeng Tan ◽  
Nan Zhou ◽  
Fen Wang ◽  
Keshuang Tang ◽  
Yangbeibei Ji
Keyword(s):  
Phase Transition ◽  
High Speed ◽  
Red Light ◽  
Risky Behaviors ◽  
Risky Driving ◽  
Red Light Running ◽  
Driving Behaviors ◽  
Vehicle Trajectories ◽  
Single Vehicle ◽  
Risky Driving Behaviors

At high-speed intersections in many Chinese cities, a traffic-light warning sequence at the end of the green phase—three seconds of flashing green followed by three seconds of yellow—is commonly implemented. Such a long phase transition time leads to heterogeneous decision-making by approaching drivers as to whether to pass the signal or stop. Therefore, risky driving behaviors such as red-light running, abrupt stop, and aggressive pass are more likely to occur at these intersections. Proactive identification of risky behaviors can facilitate mitigation of the dilemma zone and development of on-board safety altering strategies. In this study, a real-time vehicle trajectory prediction method is proposed to help identify risky behaviors during the signal phase transition. Two cases are considered and treated differently in the proposed method: a single vehicle case and a following vehicle case. The adaptive Kalman filter (KF) model and the K-nearest neighbor model are integrated to predict vehicle trajectories. The adaptive KF model and intelligent driver model are fused to predict the following vehicles’ trajectories. The proposed models are calibrated and validated using 1,281 vehicle trajectories collected at three high-speed intersections in Shanghai. Results indicate that the root mean square error between the predicted trajectories and the actual trajectories is 5.02 m for single vehicles and 2.33 m for following vehicles. The proposed method is further applied to predict risky behaviors, including red-light running, abrupt stop, aggressive pass, speeding pass, and aggressive following. The overall prediction accuracy is 95.1% for the single vehicle case and 96.2% for the following vehicle case.

scholarly journals A MODEL OF MANAGING THE URBAN MOBILITY PLANNING PROCESS / MODEL UPRAVLJANJA PROCESOM PLANIRANJA URBANE MOBILNOSTI

2019 ◽  
Vol 16 (2) ◽  
Author(s):  
Mustafa Mehanović ◽  
Nermin Palić
Keyword(s):  
Process Model ◽  
Planning Process ◽  
Supply And Demand ◽  
Urban Mobility ◽  
Research Results ◽  
Traffic System ◽  
Development Plans ◽  
Sustainable Urban Mobility ◽  
The Individual ◽  
The City

The subject of research in this paper is the planning of urban mobility development in the narrow part of Sarajevo using a model based on the growth matrix. The hypothesis of this research is: Based on the analysis of supply and demand of the city traffic system, good practices in sustainable urban mobility and existing strategies and development plans, a model for managing the whole planning process of sustainable urban mobility of the city traffic system in Sarajevo by 2026 can be proposed.In accordance with the experience of Europe’s main urban mobility observatory (Eltis) and sustainable urban mobility plans (SUMPs), the key elements are defined. The next step, after defining the elements of urban mobility, is to carry out the quantification of elements for 2016. Thereafter, there is a concise explanation of the growth matrix and model of managing the urban mobility planning process is created. In the research results, direct and indirect growth rates were elaborated and analyzed, i.e. the individual and synergic effects of the model. Finally, the synthesis of the research results was presented.

scholarly journals Experimental investigation of ant traffic under crowded conditions

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Laure-Anne Poissonnier ◽  
Sebastien Motsch ◽  
Jacques Gautrais ◽  
Jerome Buhl ◽  
Audrey Dussutour
Keyword(s):  
Cell Function ◽  
Urban Mobility ◽  
Flow Function ◽  
Two Phase ◽  
Ant Colonies ◽  
Traffic Jams ◽  
Main Challenge ◽  
Individual Tracking ◽  
The Individual ◽  
Crowded Environments

Efficient transportation is crucial for urban mobility, cell function and the survival of animal groups. From humans driving on the highway, to ants running on a trail, the main challenge faced by all collective systems is how to prevent traffic jams in crowded environments. Here, we show that ants, despite their behavioral simplicity, have managed the tour de force of avoiding the formation of traffic jams at high density. At the macroscopic level, we demonstrated that ant traffic is best described by a two-phase flow function. At low densities there is a clear linear relationship between ant density and the flow, while at large density, the flow remains constant and no congestion occurs. From a microscopic perspective, the individual tracking of ants under varying densities revealed that ants adjust their speed and avoid time consuming interactions at large densities. Our results point to strategies by which ant colonies solve the main challenge of transportation by self-regulating their behavior.

Political Liberty

2015 ◽  
Author(s):  
Hilary Gatti
Keyword(s):  
Political Power ◽  
Good Luck ◽  
Political Liberty ◽  
Thomas More ◽  
Good Fortune ◽  
Sir Thomas More ◽  
Individual Citizen ◽  
The Individual ◽  
Republican Liberty

This chapter examines Niccolò Machiavelli's ideas about liberty. It considers Machiavelli's Discourses on the First Ten Books of Titus Livy (1584), which contains Machiavelli's treatment of republican liberty and is considered to be his greatest contribution to the discussion of the tensions between political power and the liberty of both the individual citizen and the community at large. Alongside the conflict between law and the liberty of the republican citizen, the chapter turns to another key point in Machiavelli's arguments about liberty—the contradictions between liberty and what he calls fortuna (good luck or good fortune). Next, the chapter studies Machiavelli's Discourses in light of the genre of the utopia, as conceived by Sir Thomas More. Finally, the chapter takes a more detailed look into Machiavelli's other famous work, The Prince (1532).

Simulating an Incentive Framework for Scientific Production by Means of Adaptive Agents

2014 ◽  
pp. 221-238
Author(s):  
Gabriel Franklin ◽  
Tibérius O. Bonates
Keyword(s):  
Incentive Mechanism ◽  
Scientific Production ◽  
Agent Based Simulation ◽  
Adaptive Agents ◽  
Scientific Publications ◽  
Agent Based ◽  
Individual Level ◽  
Original Target ◽  
Negative Effect ◽  
The Individual

This chapter describes an agent-based simulation of an incentive mechanism for scientific production. In the proposed framework, a central agency is responsible for devising and enforcing a policy consisting of performance-based incentives in an attempt to induce a global positive behavior of a group of researchers, in terms of number and type of scientific publications. The macro-level incentive mechanism triggers micro-level actions that, once intensified by social interactions, lead to certain patterns of behavior from individual agents (researchers). Positive reinforcement from receiving incentives (as well as negative reinforcement from not receiving them) shape the behavior of agents in the course of the simulation. The authors show, by means of computational experiments, that a policy devised to act at the individual level might induce a single global behavior that can, depending on the values of certain parameters, be distinct from the original target and have an overall negative effect. The agent-based simulation provides an objective way of assessing the quantitative effect that different policies might induce on the behavior of individual researchers when it comes to their preferences regarding scientific publications.

scholarly journals The Nature of Unconscious Attention to Subliminal Cues

Vision ◽  
2019 ◽  
Vol 3 (3) ◽  
pp. 38 ◽  
Author(s):  
Prasad ◽  
Mishra
Keyword(s):  
Attentional Capture ◽  
Response Times ◽  
Attentional Selection ◽  
Current Status ◽  
Future Directions ◽  
Open Questions ◽  
Selection History ◽  
Spatial Cuing ◽  
Attentional System ◽  
The Individual

Attentional selection in humans is mostly determined by what is important to them or by the saliency of the objects around them. How our visual and attentional system manage these various sources of attentional capture is one of the most intensely debated issues in cognitive psychology. Along with the traditional dichotomy of goal-driven and stimulus-driven theories, newer frameworks such as reward learning and selection history have been proposed as well to understand how a stimulus captures attention. However, surprisingly little is known about the different forms of attentional control by information that is not consciously accessible to us. In this article, we will review several studies that have examined attentional capture by subliminal cues. We will specifically focus on spatial cuing studies that have shown through response times and eye movements that subliminal cues can affect attentional selection. A majority of these studies have argued that attentional capture by subliminal cues is entirely automatic and stimulus-driven. We will evaluate their claims of automaticity and contrast them with a few other studies that have suggested that orienting to unconscious cues proceeds in a manner that is contingent with the top-down goals of the individual. Resolving this debate has consequences for understanding the depths and the limits of unconscious processing. It has implications for general theories of attentional selection as well. In this review, we aim to provide the current status of research in this domain and point out open questions and future directions.

MACRO- AND MICROPRUDENTIAL POLICIES: SWEET AND LOWDOWN IN A CREDIT NETWORK AGENT-BASED MODEL

2019 ◽  
pp. 1-20
Author(s):  
Ermanno Catullo ◽  
Federico Giri ◽  
Mauro Gallegati
Keyword(s):  
Systemic Risk ◽  
Financial Stability ◽  
Agent Based Model ◽  
Agent Based ◽  
Macroprudential Policies ◽  
The Stability ◽  
The Individual ◽  
The Cost ◽  
Individual Choices ◽  
Credit Network

The paper presents an agent-based model reproducing a stylized credit network that evolves endogenously through the individual choices of firms and banks. We introduce in this framework a financial stability authority in order to test the effects of different prudential policy measures designed to improve the resilience of the economic system. Simulations show that a combination of micro- and macroprudential policies reduces systemic risk but at the cost of increasing banks’ capital volatility. Moreover, the agent-based methodology allows us to implement an alternative meso regulatory framework that takes into consideration the connections between firms and banks. This policy targets only the more connected banks, increasing their capital requirement in order to reduce the diffusion of local shocks. Our results support the idea that the mesoprudential policy is able to reduce systemic risk without affecting the stability of banks’ capital structure.

Macroscopic Modeling of Information Flow in an Agent-Based Electronic Health Record System

2011 ◽  
pp. 305-334
Author(s):  
Ben Tse
Keyword(s):  
Electronic Health Record ◽  
Electronic Health Record System ◽  
Health Record ◽  
Record System ◽  
Macroscopic Modeling ◽  
Agent Based ◽  
Individual Level ◽  
Patient Health ◽  
Electronic Health ◽  
The Individual

This chapter presents an architecture, or general framework, for an agent-based electronic health record system (ABEHRS) to provide health information access and retrieval among different medical services facilities. The agent system’s behaviors are analyzed using the simulation approach and the mathematical modeling approach. The key concept promoted by ABEHRS is to allow patient health records to autonomously move through the computer network uniting scattered and distributed data into one consistent and complete data set or patient health record. ABEHRS is an example of multi-agent swarm system, which is composed of many simple agents and a system that is able to self-organize. The ultimate goal is that the reader should appreciate the benefits of using mobile agents and the importance of studying agent behaviors at the system level and at the individual level.

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