A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City

He, Brian Yueshuai; Zhou, Jiazhen; Ma, Ziyi; Wang, Ding; Sha, Di; Lee, Mina; Chow, Joseph Y.J.; Özbay, Kaan

doi:10.1016/j.tranpol.2020.12.011

Cited by 45 publications

(21 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…MATSim-NYC ( Fig. 3 (a)) was developed for NYC at normal conditions (pre-COVID) based on the synthetic population along with transit schedules from General Transit Feed Specification (GTFS) data ( Chow et al, 2020 , He et al, 2021 ). The agent-based simulation tool is used for this study for four reasons: Work-from-home rates are modeled differently by industry of employment, which can be captured with a synthetic population ( He et al, 2020 ).…”

Section: Methodsmentioning

confidence: 99%

“…MATSim-NYC was calibrated to 2016 conditions ( Chow et al, 2020 , He et al, 2020 , He et al, 2021 ). The road network is calibrated use 2016 bridges/tunnels volumes data ( NYCDOT, 2016 ) and INRIX ( https://inrix.com/ ) speed data from NYCDOT.…”

Section: Methodsmentioning

confidence: 99%

“…A synthetic population was developed for the 8 M+ population in NYC ( Chow et al, 2020 , He et al, 2020 ) that includes employment in North American Industry Classification System (NAICS) industries. Based on the synthetic population along with calibrated transit schedules, a multi-agent simulation model, MATSim-NYC ( Chow et al, 2020 , He et al, 2021 ) was developed for NYC. To simulate traffic conditions during the COVID period, the MATSim-NYC model was recalibrated using ridership and work-from-home data during the COVID-19 period to update the mode choice utility functions for the synthetic population ( Wang et al, 2021 ), resulting in a model called MATSim-NYC-COVID.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mobility in post-pandemic economic reopening under social distancing guidelines: Congestion, emissions, and contact exposure in public transit

Wang

Tayarani

et al. 2021

Transportation Research Part A: Policy and Practice

Self Cite

View full text Add to dashboard Cite

COVID-19 has raised new challenges for transportation in the post-pandemic era. The social distancing requirement, with the aim of reducing contact risk in public transit, could exacerbate traffic congestion and emissions. We propose a simulation tool to evaluate the trade-offs between traffic congestion, emissions, and policies impacting travel behavior to mitigate the spread of COVID-19 including social distancing and working from home. Open-source agent-based simulation models are used to evaluate the transportation system usage for the case study of New York City. A Post Processing Software for Air Quality (PPS-AQ) estimation is used to evaluate the air quality impacts. Finally, system-wide contact exposure on the subway is estimated from the traffic simulation output. The social distancing requirement in public transit is found to be effective in reducing contact exposure, but it has negative congestion and emission impacts on Manhattan and neighborhoods at transit and commercial hubs. While telework can reduce congestion and emissions citywide, in Manhattan the negative impacts are higher due to behavioral inertia and social distancing. The findings suggest that contact exposure to COVID-19 on subways is relatively low, especially if social distancing practices are followed. The proposed integrated traffic simulation models and air quality estimation model can help policymakers evaluate the impact of policies on traffic congestion and emissions as well as identifying hot spots, both temporally and spatially.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mobility in post-pandemic economic reopening under social distancing guidelines: Congestion, emissions, and contact exposure in public transit

Wang

Tayarani

et al. 2021

Transportation Research Part A: Policy and Practice

Self Cite

View full text Add to dashboard Cite

show abstract

“…Michalaka et al [ 53 ] introduced an add-on for the traffic simulation software CORSIM to model multi-segmented ELs with various pricing strategies considering motorists’ lane choice between ELs and GP lanes. To perform various congestion pricing studies on the New York City (NYC) network, a virtual testbed for New York City was developed by He et al [ 54 ] using an agent-based simulation ‘MATSim’, an open-source simulation toolkit coded in Java and developed by the Federal Highway Administration (FHWA) [ 54 ]. Pandey and Boyles [ 55 , 56 ] proposed simulation-based pricing schemes for multi-segmented ELs.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Accurate Detection of Freeway Traffic Conditions on the Dynamic Pricing: A Case Study of I-95 Express Lanes

Alshayeb

Stevanovic

Mitrović³

et al. 2021

Sensors

View full text Add to dashboard Cite

Express lanes (ELs) implementation is a proven strategy to deal with freeway traffic congestion. Dynamic toll pricing schemes effectively achieve reliable travel time on ELs. The primary inputs for the typical dynamic pricing algorithms are vehicular volumes and speeds derived from the data collected by sensors installed along the ELs. Thus, the operation of dynamic pricing critically depends on the accuracy of data collected by such traffic sensors. However, no previous research has been conducted to explicitly investigate the impact of sensor failures and erroneous sensors’ data on toll computations. This research fills this gap by examining the effects of sensor failure and faulty detection scenarios on ELs tolls calculated by a dynamic pricing algorithm. The paper’s methodology relies on applying the dynamic toll pricing algorithm implemented in the field and utilizing the fundamental speed-volume relationship to ‘simulate’ the sensors’ reported data. We implemented the methodology in a case study of ELs on Interstate-95 in Southeast Florida. The results have shown that the tolls increase when sensors erroneously report higher than actual traffic demand. Moreover, it has been found that the accuracy of individual sensors and the number of sensors utilized to estimate traffic conditions are critical for accurate toll calculations.

show abstract

“…Another interesting work involving human behaviour simulation for the prediction of choices' outcomes is reported in He et al (2021). The work describes the first open-source multi-agent simulation model for New York City, called MATSim-NYC, which supports the simulation of traffic congestion in New York, trying to identify how people react to congestion policies and to mitigate traffic problems.…”

Section: Related Work and Backgroundmentioning

confidence: 99%

Multi agents simulation of justice trials to support control management and reduction of civil trials duration

Martino

Esposito

Cante

2021

J Ambient Intell Human Comput

View full text Add to dashboard Cite

Thanks to the digitalization of Civil Legal Processes that has been carried out in Italy since 2005, a consistent flow of data has been generated regarding all phases of Civil Trials. The Italian Ministry of Justice has recognized the opportunity to better assess the quality of Courts’ management, seeking ways to implement Decision Support Systems to aid the work of Court Presidents. In collaboration with the Court of Livorno, which has provided data and case studies, KPIs and indicators have been developed, and have been later used within an Agent-based simulation framework to assess the behaviour of Chancellors and Judges in response to Court Presidents’ decisions, and in particular to verify the effects of such decision on Processes’ duration. This paper presents the Agent-based simulation approaches adopted to predict the effects of Presidents’ decisions, by taking in consideration the behaviour of Chancellors and Judges, derived from the examination of past Trials, whose aspects have been recorded by the Court’s digital system.

show abstract

A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City

Cited by 45 publications

References 38 publications

Mobility in post-pandemic economic reopening under social distancing guidelines: Congestion, emissions, and contact exposure in public transit

Mobility in post-pandemic economic reopening under social distancing guidelines: Congestion, emissions, and contact exposure in public transit

Impact of Accurate Detection of Freeway Traffic Conditions on the Dynamic Pricing: A Case Study of I-95 Express Lanes

Multi agents simulation of justice trials to support control management and reduction of civil trials duration

Contact Info

Product

Resources

About