most citedQuantifying the sustainability impact of Google Maps: A case study of Salt Lake City

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.ET2025

On How Traffic Signals Impact the Fundamental Diagrams of Urban Roads

Chao Zhang, Yechen Li, Neha Arora +1

Being widely adopted by the transportation and planning practitioners, the fundamental diagram (FD) is the primary tool used to relate the key macroscopic traffic variables of spee…

physics.soc-ph2021★ 3 cited

Quantifying the sustainability impact of Google Maps: A case study of Salt Lake City

Neha Arora, Theophile Cabannes, Sanjay Ganapathy +6

Google Maps uses current and historical traffic trends to provide routes to drivers. In this paper, we use microscopic traffic simulation to quantify the improvements to both trave…

cs.MA2021★ 1 cited

An Efficient Simulation-Based Travel Demand Calibration Algorithm for Large-Scale Metropolitan Traffic Models

Neha Arora, Yi-fan Chen, Sanjay Ganapathy +5

Metropolitan scale vehicular traffic modeling is used by a variety of private and public sector urban mobility stakeholders to inform the design and operations of road networks. Hi…

math.OC2021★ 1 cited

Adaptive Partitioning Strategy for High-Dimensional Discrete Simulation-based Optimization Problems

Jing Lu, Tianli Zhou, Carolina Osorio

In this paper, we introduce a technique to enhance the computational efficiency of solution algorithms for high-dimensional discrete simulation-based optimization problems. The tec…

cs.GT2021★ 1 cited

On the approximation of queue-length distributions in transportation networks

Jing Lu, Carolina Osorio

This paper focuses on the analytical probabilistic modeling of vehicular traffic. It formulates a stochastic node model. It then formulates a network model by coupling the node mod…