Personal profile
Keywords
- AI Indexes (General)
- Transport Engineering
- Traffic
- Optimization
- Data Science
- Machine learning
- Reinforcement Learning
Artificial Intelligence Expert
- Mobility and Transport
- Reinforcement Learning
- Deep Learning
Transport Expert
- Intelligent Transport Systems
- Artificial Intelligence
- Data Mining and Machine Learning
- Traffic (road)
- Public Transport (bus, train, ship)
- Mathematical Programming
- Simulation
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 11 Sustainable Cities and Communities
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Dive into the research topics where Zakir H. Farahmand is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Mobility-as-a-Service as a transport demand management tool: A case study among employees in the Netherlands
Farahmand, Z. H., Gkiotsalitis, K. & Geurs, K. T., Dec 2021, In: Case Studies on Transport Policy. 9, 4, p. 1615-1629 15 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile46 Link opens in a new tab Citations (Scopus)213 Downloads (Pure) -
Data-driven Decision Support System (DSS) for Bus Services
Farahmand, Z. H., 28 Nov 2022, Enschede: University of Twente. 75 p.Research output: Thesis › EngD Thesis › Academic
Open AccessFile342 Downloads (Pure) -
Optimal bus reassignment considering in-vehicle overcrowding
Farahmand, Z. H., Gkiotsalitis, K. & Geurs, K. T., 1 Nov 2024, In: Transportation Research Interdisciplinary Perspectives. 28, 101260.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Link opens in a new tab Citations (Scopus)138 Downloads (Pure) -
Predicting bus ridership based on the weather conditions using deep learning algorithms
Farahmand, Z. H., Gkiotsalitis, K. & Geurs, K. T., May 2023, In: Transportation Research Interdisciplinary Perspectives. 19, 100833.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile8 Link opens in a new tab Citations (Scopus)315 Downloads (Pure)