Agent-Based Model (ABM) for City-Scale Traffic Simulation: A Case Study on San Francisco

Zhao, Bingyu; Kumar, Krishna; Casey, Gerard; Soga, Kenichi

doi:10.1680/icsic.64669.203

Cited by 15 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, some papers do validate the produced pattern with actual numbers on a higher spatialtemporal scale, but their approaches also differ. Some examples are comparisons of hourly traffic to annual average daily traffic [32], total number of vehicles with one number in several locations [43], traffic volumes with 600 sensors [44], a model output with an output from another model [69], etc. All these models are distinguished by the level of detail, assumptions, and research questions they include.…”

Section: Discussionmentioning

confidence: 99%

Combining Telecom Data with Heterogeneous Data Sources for Traffic and Emission Assessments—An Agent-Based Approach

Grujić

Brdar

Osinga

et al. 2022

IJGI

View full text Add to dashboard Cite

To create quality decision-making tools that would contribute to transport sustainability, we need to build models relying on accurate, timely, and sufficiently disaggregated data. In spite of today’s ubiquity of big data, practical applications are still limited and have not reached technology readiness. Among them, passively generated telecom data are promising for studying travel-pattern generation. The objective of this study is twofold. First, to demonstrate how telecom data can be fused with other data sources and used to feed up a traffic model. Second, to simulate traffic using an agent-based approach and assess the emission produced by the model’s scenario. Taking Novi Sad as a case study, we simulated the traffic composition at 1-s resolution using the GAMA platform and calculated its emission at 1-h resolution. We used telecom data together with population and GIS data to calculate spatial-temporal movement and imported it to the ABM. Traffic flow was calibrated and validated with data from automatic vehicle counters, while air quality data was used to validate emissions. The results demonstrate the value of using diverse data sets for the creation of decision-making tools. We believe that this study is a positive endeavor toward combining big data and ABM in urban studies.

show abstract

Section: Discussionmentioning

confidence: 99%

Combining Telecom Data with Heterogeneous Data Sources for Traffic and Emission Assessments—An Agent-Based Approach

Grujić

Brdar

Osinga

et al. 2022

IJGI

View full text Add to dashboard Cite

show abstract

“…OpenStreetMap is a worldwide collaborative mapping project and platform (Boeing 2017). Its data are high-quality and detailed, providing a good source for modeling and analyzing transportation networks (Barron, Neis, and Zipf 2014;Zielstra, Hochmair, and Neis 2013;Christopher Barrington-Leigh and Millard-Ball 2017;Zhao et al 2019). For each model, we download the drivable street network in the city of San Francisco using OSMnx, a Python-based toolkit for automatically downloading, modeling, and analyzing city street networks using OpenStreetMap data (Boeing 2018).…”

Section: Methodsmentioning

confidence: 99%

Converting One-Way Streets to Two-Way Streets to Improve Transportation Network Efficiency and Reduce Vehicle Distance Traveled

Boeing¹,

Riggs²

2022

Preprint

View full text Add to dashboard Cite

Planning scholars have identified economic, safety, and social benefits of converting one-way streets to two-way. Less is known about how conversions could impact vehicular distances traveled—of growing relevance in an era of fleet automation, electrification, and ride-hailing. We simulate such a conversion in San Francisco, California. We find that its current street network’s average intra-city trip is about 1.7% longer than it would be with all two-way streets, corresponding to 27 million kilometers of annual surplus travel. As transportation technologies evolve, planners must consider different facets of network efficiency to align local policy and street design with sustainability and other societal goals.

show abstract

“…As a result, one of the significant contributions of this paper is the integration of a parallelized Dijkstra's priority queue single-source shortest-path (SSSP) algorithm, described in [4], in which only the OD pairs required in the simulation are computed. Typically, the number of agents n and their paths are significantly smaller than the APSP O(N 2 ).…”

Section: Routingmentioning

confidence: 99%

“…They are carried out on various modes, including walking, biking, driving, or TNC services. The dynamics of traffic flow are affected by factors such as frequency of trips, vehicle occupancy, length of the journeys, route choices, and driving speeds, producing congestion, traffic emissions, and an increase in traffic accidents [4]. In addition, certain transportation simulation, such as emergency evacuation planning of a city in an extreme weather event, requires near real-time transportation planning.…”

Section: Introductionmentioning

confidence: 99%

Microsimulation Analysis for Network Traffic Assignment (MANTA) at Metropolitan-Scale for Agile Transportation Planning

Yedavalli¹,

Kumar²,

Waddell³

2020

Preprint

View full text Add to dashboard Cite

Abrupt changes in the environment, such as increasingly frequent and intense weather events due to climate change or the extreme disruption caused by the coronavirus pandemic, have triggered massive and precipitous changes in human mobility. The ability to quickly predict traffic patterns in different scenarios has become more urgent to support short-term operations and long-term transportation planning, emergency management, and resource allocation. Urban traffic exhibits a high spatial correlation in which links adjacent to a congested link are likely to become congested due to spillback effects. The spillback behavior requires modeling the entire metropolitan area to recognize all of the upstream and downstream effects from intentional or unintentional perturbations to the network. However, there is a well-known trade-off between increasing the level of detail of a model and decreasing computational performance. To achieve traffic microsimulation levels of detail, current implementations often compromise by simulating small spatial scales, such as intersections or corridors that ignore larger network dependencies. These simulators also either require access to expensive high performance computing systems or have computation times on the order of days or weeks that discourage productive research and real-time planning. This paper addresses these performance shortcomings by introducing a new platform, MANTA (Microsimulation Analysis for Network Traffic Assignment), for traffic microsimulation at the metropolitan-scale. MANTA employs a highly parallelized GPU implementation that is fast enough to run simulations on large-scale demand and networks within a few minutes. We test our platform to simulate the entire Bay Area metropolitan region over the course of the morning using half-second time steps. The runtime for the nine-county Bay Area simulation is just over four minutes, not including routing and initialization. This computational performance significantly improves the state of the art in large-scale traffic microsimulation, and offers new capacity for analyzing the detailed travel patterns and travel choices of individuals for infrastructure planning and emergency management.

show abstract

Agent-Based Model (ABM) for City-Scale Traffic Simulation: A Case Study on San Francisco

Cited by 15 publications

References 11 publications

Combining Telecom Data with Heterogeneous Data Sources for Traffic and Emission Assessments—An Agent-Based Approach

Combining Telecom Data with Heterogeneous Data Sources for Traffic and Emission Assessments—An Agent-Based Approach

Converting One-Way Streets to Two-Way Streets to Improve Transportation Network Efficiency and Reduce Vehicle Distance Traveled

Microsimulation Analysis for Network Traffic Assignment (MANTA) at Metropolitan-Scale for Agile Transportation Planning

Contact Info

Product

Resources

About