An Agent-Based Simulation Model for Parking Variable Message Sign Location Problem

2018 ◽  
Vol 2672 (19) ◽  
pp. 135-144 ◽  
Author(s):  
Xun-You Ni ◽  
Daniel (Jian) Sun
Keyword(s):  
Urban Areas ◽  
Supply And Demand ◽  
Agent Based Simulation ◽  
Short Supply ◽  
Agent Based ◽  
Average Travel Time ◽  
Parking Lot ◽  
The One ◽  
Message Signs ◽  
Urban Parking

Parking spaces are often in short supply in urban areas. To balance the supply and demand and alleviate the overconsumption of public spaces, parking variable message signs (parking VMSs) are commonly used to release information on space availability to drivers en route. The aim of this study was to find the optimal positions for parking VMSs. To achieve the objective, we first define the major decision point (MDP) as the intersection where the newly generated path deviates from the previous one. When informed that the target parking lot is fully occupied, the driver would divert to an alternative one. The route to the alternative parking lot is indicated as the newly generated path, while the one leading to the original parking lot is denoted as the previous one. Quantitatively, MDPs with the highest frequency of occurrence are selected as the candidate positions. Then, an agent-based simulation is proposed to identify the MDPs induced by changes of space availability and the selection of routes. The results indicate that the proposed location algorithm slightly outperforms the scheme with the completed parking information in terms of average travel time and average travel distance. The algorithm can be further integrated into a simulation package, which may assist in the design and operation of an urban parking guidance and information system.

A comparative analysis of information provision strategies for parking variable message sign display problems

2020 ◽  
Vol 39 (3) ◽  
pp. 2725-2735
Author(s):  
Xun-You Ni ◽  
Weite Lu ◽  
Chunqin Zhang ◽  
Yong Liu ◽  
Jing Zhao
Keyword(s):  
Comparative Analysis ◽  
Information Provision ◽  
Threshold Value ◽  
Agent Based ◽  
Variable Message Signs ◽  
Traffic Conditions ◽  
Average Travel Time ◽  
Parking Lot ◽  
Message Signs ◽  
Urban Parking

Parking spaces are insufficient and are plagued by over-consumption in hot areas. To assist drivers easily in identifying available parking spaces, parking variable message signs are commonly adopted to display information on space availability. This paper analyzes the performance of various information provision strategies. To achieve this objective, we first present the mechanisms of the information provision strategies. Then, the information provision strategies are classified into three categories: regular, symmetric, and discriminative. The regular strategies provide the collected parking information directly to drivers; the symmetric schemes employ the equal threshold values for all parking lots; and the discriminative schedules adopt an independent threshold value for each parking lot. The threshold value provides an upper limit for the Space Occupancy Percentage (SOP): when the SOP is larger than the threshold value, the parking lot status becomes FULL; otherwise, it is displayed having available spaces. Finally, an agent-based simulation model is introduced to describe the parking and traffic conditions. The results indicate that both the symmetric and discriminative strategies significantly decrease the highest failure rate and average travel time, whereas the latter performs better. The results of this comparative analysis can assist in the configuration and operation of an urban parking guidance and information system.

scholarly journals Exploring the Economic, Environmental, and Travel Implications of Changes in Parking Choices due to Driverless Vehicles: An Agent-Based Simulation Approach

2018 ◽  
Author(s):  
Corey D. Harper ◽  
Chris T. Hendrickson ◽  
Constantine Samaras
Keyword(s):  
Urban Areas ◽  
Energy Use ◽  
Demand Management ◽  
Cost Savings ◽  
Economic Cost ◽  
Order Effects ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Parking Lot ◽  
The Cost

Fully driverless automated vehicles (AVs) could considerably alter the proximity value of parking, due to an AV’s ability to drop passengers off at their destination, search for cheaper parking, and return to pick up their occupants when needed. This study estimates the potential impact of privately-owned driverless vehicles on vehicle miles traveled (VMT), energy use, emissions, parking revenue, and daily parking cost savings in the city of Seattle, Washington from changes in parking decisions using an agent-based simulation model. Each AV is assumed to consider the cost to drive to each parking spot, the associated daily parking cost, and the parking availability at each location, and the AV ranks each choice in terms of economic cost. The simulation results indicate at the low penetration rates (5 to 25 percent AV penetration) AVs in downtown Seattle would travel an additional 3.5- 4.0 miles per day on average, and high penetration rates (50 to 100 percent AV penetration) would travel an additional 5.6-8.4 miles per day on average. The results also suggest that as AV penetration rates increase, parking lot revenues decrease significantly and could likely decline to the point where operating a lot is unsustainable economically, if no parking demand management policies are implemented. This could lead to changes in land use as the amount of parking needed in urban areas is reduced and cars move away from the downtown area for cheaper parking. This analysis provides an illustration of the first-order effects of AVs on the built environment and could help inform near and long- term policy and infrastructure decisions during the transition to automation.

scholarly journals Multi-Criteria, Co-Evolutionary Charging Behavior: An Agent-Based Simulation of Urban Electromobility

2021 ◽  
Vol 12 (1) ◽  
pp. 18
Author(s):  
Lennart Adenaw ◽  
Markus Lienkamp
Keyword(s):  
Urban Areas ◽  
City Planning ◽  
User Behavior ◽  
Transport Sector ◽  
Simulation Framework ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Charging Station ◽  
Spatio Temporal

In order to electrify the transport sector, scores of charging stations are needed to incentivize people to buy electric vehicles. In urban areas with a high charging demand and little space, decision-makers are in need of planning tools that enable them to efficiently allocate financial and organizational resources to the promotion of electromobility. As with many other city planning tasks, simulations foster successful decision-making. This article presents a novel agent-based simulation framework for urban electromobility aimed at the analysis of charging station utilization and user behavior. The approach presented here employs a novel co-evolutionary learning model for adaptive charging behavior. The simulation framework is tested and verified by means of a case study conducted in the city of Munich. The case study shows that the presented approach realistically reproduces charging behavior and spatio-temporal charger utilization.

Evaluating Urban Logistics Schemes Using Agent-based Simulation

2020 ◽  
Vol 54 (3) ◽  
pp. 651-675 ◽  
Author(s):  
W. J. A. van Heeswijk ◽  
M. R. K. Mes ◽  
J. M. J. Schutten ◽  
W. H. M. Zijm
Keyword(s):  
Supply Chains ◽  
Urban Areas ◽  
Mathematical Representation ◽  
Extensive Literature ◽  
Literature Study ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Urban Freight ◽  
Urban Freight Transport ◽  
Urban Consolidation

The domain of urban freight transport is becoming increasingly complex. Many urban supply chains are composed of small and independent actors that cannot efficiently organize their highly fragmented supply chains, thereby negatively affecting the quality of life in urban areas. Both companies and local administrators try to improve transport efficiency and reduce external costs, but the effects of such interventions are difficult to predict, especially when applied in combination with each other (an urban logistics scheme). This paper presents an agent-based simulation model to quantify the effects of urban logistics schemes on multiple actors. We provide a detailed mathematical representation in the form of a Markov decision process. Based on an extensive literature study, we aggregate data to represent various actors in typical Western European cities. We perform numerical experiments to obtain insights into urban logistics schemes. The results show that most schemes yield significant environmental improvements but that achieving long-term financial viability is challenging for urban consolidation centers in particular. We also demonstrate that interventions, such as subsidies and access restrictions, do not always yield the intended effect. In a backcasting experiment, we identify conditions and schemes to achieve a financially viable urban consolidation center.

scholarly journals A perceptual-behavioural approach with non-parametric experimental coefficient for urban parking business design

2016 ◽  
Vol 37 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Moreno Ferrarese
Keyword(s):  
Urban Areas ◽  
Accurate Determination ◽  
Parking Lots ◽  
Experimental Parameters ◽  
Parking Lot ◽  
Urban Parking ◽  
Integrated Logistics ◽  
The City ◽  
Business Design

Transportation science and integrated logistics of passengers in the cities provide a detailed study of the movements both on entry to the urban areas than within them. Parking lots are, very often, places of exchange between the motorized and the pedestrian or cycling mode, or between individual and collective motorized modes. As the modern urban civilization is known by its impetuous car parking expansion it becomes essential to design the parking lots bearing in mind the needs of those who will really use them and not referring to the political lobbies in the city administration. The study of parking lot in terms of business and financial design, planning and management after the construction needs is a more accurate determination of the experimental parameters, which enable choice of the model to minimize the uncertainty of the data that will define the revenues according to the Project Financing procedures.

scholarly journals Smart parking :an efficient approach to city’s smart management and air pollution reduction

2019 ◽  
Author(s):  
Seyed Jalalaldin Faraji ◽  
Marjan Jafari Nozar
Keyword(s):  
Air Pollution ◽  
Field Studies ◽  
Urban Management ◽  
Related Disorder ◽  
Parking Lots ◽  
Parking Lot ◽  
Smart Parking ◽  
The Many ◽  
The One ◽  
Urban Parking

Introduction: Due to increasing the population of cities and the physical-spatial expansion of the cities, vehicles are being used progressively, which has caused many problems for the cities including traffic increase, chaos in finding urban parking lots, increase of environmental pollution, decrease of citizens’ satisfaction, and so on. Among the many urban problems, parking lot is one of the issues that has been heavily debated in recent years. The lack of sufficient number of parking lots, on the one hand, and the related disorder and management problems, on the other hand, have led to a range of managerial and environmental problems. Meanwhile, one of the paradigms that has focused on this issue in recent years is smart city paradigm, which has offered the smart parking. This paradigm believes that parking, as a part of the city’s space, can be smart and can help urban management.   Materials and methods: This is an applied research in terms of purpose and a descriptive-analytical research in terms of nature. The required data were collected using documentary and field studies and SWOT method was used to analyze the data.   Results: This study was conducted to evaluate and investigate the role of smart parking in increasing the efficiency of urban management and its im-pact on reducing air pollution.   Conclusion: Finally, the conclusion of the research have led to key strategies for achieving the research goal.

The Characteristic of Parking in Pasar Badung Area

2016 ◽  
Vol 2 (7) ◽  
pp. 69
Author(s):  
I Ketut Sutapa
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Average Length ◽  
Processing System ◽  
Vehicle Ownership ◽  
The Road ◽  
Capacity Market ◽  
Parking Lot ◽  
The One

In urban areas, the parking area was a problem that was quite complicated, especially in areas that become activities like industry centres, economy, tourism and others. In term of this, it was due to the fairly large urbanization which causes increasing population in urban areas. In addition, the level of private vehicle ownership was high enough so that it would directly add to the traffic flow. The problem that arose then was the traffic congestion caused by traffic flow exceeds the road capacity, the traffic processing system that is not good, nor because the road does not operate as it should. The one implication was the road not functioning properly was the parking of vehicles using the road (on-street parking). Therefore, this study was conducted to determine the park characteristics, in order to know the parking spaces capacity, as well as providing alternative solutions when capacity did not meet the parking space. This study was only conducted on the parking lot of the capacity market delinquent parking spaces as well as the park characteristics that included the accumulated parking, parking volume, parking average length, parking turnover rate, index parking of which was the object of this research was cars passenger and two-wheelers. In regarding this research could be used as input and consideration in determining or take wisdom in dealing with the parking problem in Pasar Badung (traditional market).

Approaches and Tools to Optimize and Manage Clinical Processes

2011 ◽  
pp. 39-65 ◽  
Author(s):  
Rainer Herrler ◽  
Christian HeIne
Keyword(s):  
Intelligent Agents ◽  
Process Management ◽  
Decision Processes ◽  
The Other ◽  
Distributed Scheduling ◽  
Individual Autonomy ◽  
Agent Based Simulation ◽  
Agent Based ◽  
The One ◽  
High Degree

There are several continuing challenges within the health-care domain. On the one hand, there is a greater need for individualized, patient-oriented processes in diagnostics, therapy, nursing, and administration; and on the other hand, hospitals have extremely distributed decision processes and strong local (individual) autonomy with a high degree of situational dynamics. This research focuses on how to optimize processes in hospitals by using agent-based simulation and agent-based information systems that can substantially increase the efficiency of hospital process management. In particular, we describe a methodology for optimization; the ingredients of the simulation and the architecture of a management system; and the integration of existing FIPA, DICOM, and HL7 standards. We discuss example scenarios to show how simulation can improve distributed scheduling and how agent-based systems can be used to manage “clinical trials.” This research is part of the German Priority Research Program (SPP) 1083 “Intelligent Agents and their application in business scenarios.”

Modelling and simulation techniques for transport networks within urban areas applied to logistics and resilience

2021 ◽  
Author(s):  
◽  
Pablo Álvarez
Keyword(s):  
Big Data ◽  
Real Time ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Smart Cities ◽  
Modelling And Simulation ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Simulation Techniques ◽  
New Methodologies

This thesis investigates the use of modelling and simulation techniques in urban areas of smart cities, also exploring how big data can be used to feed these models. These modelling techniques have been applied to two different fields that have been gaining prominence during the last years but where research is still limited: urban logistics and urban resilience. Through this thesis, the author has expanded the research knowledge in these fields by exploring different methods such as meta-heuristics, transport modelling, and agent-based simulation in order to define new methodologies to be applied to urban areas. Regarding logistics, the author has shown through the use of meta-heuristics that when traffic congestion is considered as a dynamic attribute to optimize delivery routes in urban areas, time can be reduced by 11%, which is crucial for logistics companies in a market that is fiercer every day. This is true not only for urban areas, but this research has also demonstrated that optimizing routes with dynamic congestion attributes is also beneficial at a strategic level for routes between cities. To consider congestion costs in real time, a new approach has been developed in which data from Google is downloaded to feed these meta-heuristic models, although other sources of big data could be also used. In this thesis, a methodology is also presented that has been used to model logistics routes in urban areas considering real-time data and with the flexibility to add different network attributes (gradient, traffic bans, CO2, etc.) to simulate different scenarios. This can be useful for logistics companies to optimize their deliveries (choosing between van or tricycles, selecting the time of the day to deliver, etc.) but also for public authorities to get guidance on different transport and urban policies (pedestrianization of some streets, traffic bans, etc.).As for city resilience, the thesis focuses on evacuation planning. A new methodology has been created in which agent-based simulation is used through interconnected sub-models to model a large-scenario evacuation scenario (flooding event as a consequence of a dam collapse). This research defines the data needed to create these models that can be of great help to improve city resilience, and also analyzes how traffic congestion can affect the evacuation procedures. Through the different research articles that compose this thesis, the author brings light to these fields by developing new methodologies and using real case-studies that can help urban planners, companies, and policy makers to create more efficient, sustainable, and resilient smart cities.

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