Neha Arora

Orcid: 0009-0003-6451-1168

Affiliations:
  • Google Research, USA


According to our database1, Neha Arora authored at least 12 papers between 2019 and 2025.

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Bibliography

2025
Origin-Destination Travel Demand Estimation: An Approach That Scales Worldwide, and Its Application to Five Metropolitan Highway Networks.
CoRR, July, 2025

S2Vec: Self-Supervised Geospatial Embeddings.
CoRR, April, 2025

Improving Simulation-Based Origin-Destination Demand Calibration Using Sample Segment Counts Data.
CoRR, February, 2025

On How Traffic Signals Impact the Fundamental Diagrams of Urban Roads.
CoRR, January, 2025

2024
Traffic Simulations: Multi-City Calibration of Metropolitan Highway Networks.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Scalable Learning of Segment-Level Traffic Congestion Functions.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Towards a Trajectory-powered Foundation Model of Mobility.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, 2024

2023
On the Use of Abundant Road Speed Data for Travel Demand Calibration of Urban Traffic Simulators.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022
An adversarial variational inference approach for travel demand calibration of urban traffic simulators.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2021
Quantifying the sustainability impact of Google Maps: A case study of Salt Lake City.
CoRR, 2021

An Efficient Simulation-Based Travel Demand Calibration Algorithm for Large-Scale Metropolitan Traffic Models.
CoRR, 2021

2019
Hard to Park?: Estimating Parking Difficulty at Scale.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019


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