2023

Sinclair, M. , Maadi, S., Zhao, Q. , Hong, J. , Ghermandi, A. and Bailey, N. (2023) Assessing the socio-demographic representativeness of mobile phone application data. Applied Geography, 158, 102997. (doi: 10.1016/j.apgeog.2023.102997)

2022

Maadi, S., Stein, S. , Hong, J. and Murray-Smith, R. (2022) Real-time adaptive traffic signal control in a connected and automated vehicle environment: optimisation of signal planning with reinforcement learning under vehicle speed guidance. Sensors, 22(19), 7501. (doi: 10.3390/s22197501) (PMID:36236600) (PMCID:PMC9572689)

Sinclair, M. , Maadi, S., Zhao, Q. , Hong, J. and Bailey, N. (2022) Understanding the Socio-demographic Representation of Tamoco Mobile Phone App Data in Glasgow City Region. In: GISRUK 2022, Liverpool, UK, 05-08 Apr 2022, (doi: 10.5281/zenodo.6411683)

2021

Sinclair, M. , Zhao, Q. , Bailey, N. , Maadi, S. and Hong, J. (2021) Understanding the Use of Greenspace Before and During the COVID-19 Pandemic by Using Mobile Phone App Data. In: GIScience 2021, 27-30 Sep 2021, (doi: 10.25436/E2D59P)

2020

Maadi, S. (2020) CAV-based Adaptive Traffic Signal Control with Reinforcement Learning. 2020 Scottish Informatics and Computer Science Alliance (SICSA) Conference, 01 October 2020. (Unpublished)

Maadi, S. and Schmöcker, J.-D. (2020) Route choice effects of changes from a zonal to a distance-based fare structure in a regional public transport network. Public Transport, 12, pp. 535-555. (doi: 10.1007/s12469-020-00239-9)

2019

Jin, Z., Schmöcker, J.-D. and Maadi, S. (2019) On the interaction between public transport demand, service quality and fare for social welfare optimisation. Research in Transportation Economics, 76, 100732. (doi: 10.1016/j.retrec.2019.05.005)

Fukuda, K., Maadi, S., Shen, K. and Schmoecker, J. D. (2019) Extraction of Public Transportation Networks from Openstreetmap Data and Estimation of OD Patterns Through a Graph Convolutional Approach. TransitData 2019, Paris, France, 08-10 Jul 2019.

Maadi, S., Schmoecker, J.D. and Fonzone, A. (2019) Optimal Non-Additive Distance-based Fare Structure. 9th International Symposium on Travel Demand Management (TDM 2019), Edinburgh, UK, 19-21 Jun 2019.

2018

Tanaka, M., Schmoeker, J.D. and Maadi, S. (2018) Proposing a Way to Evaluate Public Transportation Fare Systems Considering Equity Concepts. 23rd International Conference of Hong Kong Society for Transportation Studies, Hong Kong, China, 08-10 Dec 2018.

Jin, Z., Schmöcker, J.-D. and Maadi, S. (2018) Using Continuous Approximation for Service Quality and Fare Level Optimisation. 15th Conference on Advanced Systems in Public Transport and TransitData (CASPT2018), Brisbane, Australia, 23-25 Jul 2018.

Maadi, S. and Schmöcker, J.-D. (2018) Theoretical Evaluation on the Effects of Changes from a Zonal to a Distance-based Fare Structure. 15th Conference on Advanced Systems in Public Transport and TransitData (CASPT2018), Brisbane, Australia, 23-25 Jul 2018.

Mukuye, K., Schmocker, J.D. and Maadi, S. (2018) Improving Origin-Destination Matrix Estimations Through Qualitative Data. 7th International Symposium on Transport Network Reliability, Sydney, Australia, 17-19 Jan 2018.

2017

Maadi, S. and Schmoeker, J.D. (2017) Distance-Depending Non-Liner Fares within Frequency-based Transit Assignment. 22nd International Conference of Hong Kong Society for Transportation Studies (HKSTS 2017), Hong Kong, China, 09-11 Dec 2017.

Maadi, S. and Schmöcker, J.-D. (2017) Optimal hyperpaths with non-additive link costs. Transportation Research Part B: Methodological, 105, pp. 235-248. (doi: 10.1016/j.trb.2017.08.030)

Maadi, S. and Schmoecker, J.D. (2017) Non-Linear Fares Within Frequency-Based Transit Assignment. Optimization in Traffic and Transport Conference (Heureka), Stuttgart, Germany, 22-23 Mar 2017.

Jin, Z., Schmocker, J.D., Maadi, S. and Nakamura, T. (2017) Public Transportation Fare Level Optimization of Model Cities. 55th Annual Conference on Infrastructure Planning and Management, Japan, 2017.

Maadi, S. and Schmoecker, J.D. (2017) Optimal hyperpaths with non-additive link costs. 22nd International Symposium on Transportation and Traffic Theory (ISTTT22), Chicago, IL, USA, 24-26 Jul 2017. (doi: 10.1016/j.trpro.2017.05.044)

2016

Schmöcker, J.-D., Fonzone, A., Belgiawan, F. and Maadi, S. (2016) Determining fare structures: evidence and recommendations from a qualitative survey among transport authorities. Technical Report. European Metropolitan Transport Authorities (EMTA), Paris.

2012

Shariat-Mohaymany, A., Babaei, M., Moadi, S. and Amiripour, S. M. (2012) Linear upper-bound unavailability set covering models for locating ambulances: application to Tehran rural roads. European Journal of Operational Research, 221(1), pp. 263-272. (doi: 10.1016/j.ejor.2012.03.015)

Maadi, S., Shariat Mohaymany, A. and Babaei, M. (2012) Application of Genetic Algorithm to the Emergency Medical Services Location Problem. Regional Conference on Recent Research in Mathematics, Iran, 2012.

2011

Maadi, S., Shariat Mohaymany, A. and Babaei, M. (2011) Application of Imperialist Competitive Algorithm to the Emergency Medical Services Location Problem. 2011 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2011), Guangdong, China, 18 Nov 2011.

Maadi, S., Shariat Mohaymany, A. and Babaei, M. (2011) Application of Particle Swarm Optimization to the Emergency Medical Services Location Problem. 3rd National Congress on Urban Development, Sanandaj, Iran, 26 Oct 2011.

Moadi, S., Mohaymany, A. S. and Babaei, M. (2011) Application of imperialist competitive algorithm to the emergency medical services location problem. International Journal of Artificial Intelligence and Applications, 2(4), pp. 137-147. (doi: 10.5121/ijaia.2011.2411)

Maadi, S., Shariat Mohaymany, A. and Babaei, M. (2011) Application of Imperialist Competitive Algorithm to the Emergency Medical Services Location Problem. Regional Conference on New Approaches in Computer Engineering and Information Technology, Iran, 2011.

Articles

Sinclair, M. , Maadi, S., Zhao, Q. , Hong, J. , Ghermandi, A. and Bailey, N. (2023) Assessing the socio-demographic representativeness of mobile phone application data. Applied Geography, 158, 102997. (doi: 10.1016/j.apgeog.2023.102997)

Maadi, S., Stein, S. , Hong, J. and Murray-Smith, R. (2022) Real-time adaptive traffic signal control in a connected and automated vehicle environment: optimisation of signal planning with reinforcement learning under vehicle speed guidance. Sensors, 22(19), 7501. (doi: 10.3390/s22197501) (PMID:36236600) (PMCID:PMC9572689)

Maadi, S. and Schmöcker, J.-D. (2020) Route choice effects of changes from a zonal to a distance-based fare structure in a regional public transport network. Public Transport, 12, pp. 535-555. (doi: 10.1007/s12469-020-00239-9)

Jin, Z., Schmöcker, J.-D. and Maadi, S. (2019) On the interaction between public transport demand, service quality and fare for social welfare optimisation. Research in Transportation Economics, 76, 100732. (doi: 10.1016/j.retrec.2019.05.005)

Maadi, S. and Schmöcker, J.-D. (2017) Optimal hyperpaths with non-additive link costs. Transportation Research Part B: Methodological, 105, pp. 235-248. (doi: 10.1016/j.trb.2017.08.030)

Shariat-Mohaymany, A., Babaei, M., Moadi, S. and Amiripour, S. M. (2012) Linear upper-bound unavailability set covering models for locating ambulances: application to Tehran rural roads. European Journal of Operational Research, 221(1), pp. 263-272. (doi: 10.1016/j.ejor.2012.03.015)

Moadi, S., Mohaymany, A. S. and Babaei, M. (2011) Application of imperialist competitive algorithm to the emergency medical services location problem. International Journal of Artificial Intelligence and Applications, 2(4), pp. 137-147. (doi: 10.5121/ijaia.2011.2411)

Research Reports or Papers

Schmöcker, J.-D., Fonzone, A., Belgiawan, F. and Maadi, S. (2016) Determining fare structures: evidence and recommendations from a qualitative survey among transport authorities. Technical Report. European Metropolitan Transport Authorities (EMTA), Paris.

Conference or Workshop Item

Maadi, S. (2020) CAV-based Adaptive Traffic Signal Control with Reinforcement Learning. 2020 Scottish Informatics and Computer Science Alliance (SICSA) Conference, 01 October 2020. (Unpublished)

Fukuda, K., Maadi, S., Shen, K. and Schmoecker, J. D. (2019) Extraction of Public Transportation Networks from Openstreetmap Data and Estimation of OD Patterns Through a Graph Convolutional Approach. TransitData 2019, Paris, France, 08-10 Jul 2019.

Maadi, S., Schmoecker, J.D. and Fonzone, A. (2019) Optimal Non-Additive Distance-based Fare Structure. 9th International Symposium on Travel Demand Management (TDM 2019), Edinburgh, UK, 19-21 Jun 2019.

Tanaka, M., Schmoeker, J.D. and Maadi, S. (2018) Proposing a Way to Evaluate Public Transportation Fare Systems Considering Equity Concepts. 23rd International Conference of Hong Kong Society for Transportation Studies, Hong Kong, China, 08-10 Dec 2018.

Jin, Z., Schmöcker, J.-D. and Maadi, S. (2018) Using Continuous Approximation for Service Quality and Fare Level Optimisation. 15th Conference on Advanced Systems in Public Transport and TransitData (CASPT2018), Brisbane, Australia, 23-25 Jul 2018.

Maadi, S. and Schmöcker, J.-D. (2018) Theoretical Evaluation on the Effects of Changes from a Zonal to a Distance-based Fare Structure. 15th Conference on Advanced Systems in Public Transport and TransitData (CASPT2018), Brisbane, Australia, 23-25 Jul 2018.

Mukuye, K., Schmocker, J.D. and Maadi, S. (2018) Improving Origin-Destination Matrix Estimations Through Qualitative Data. 7th International Symposium on Transport Network Reliability, Sydney, Australia, 17-19 Jan 2018.

Maadi, S. and Schmoeker, J.D. (2017) Distance-Depending Non-Liner Fares within Frequency-based Transit Assignment. 22nd International Conference of Hong Kong Society for Transportation Studies (HKSTS 2017), Hong Kong, China, 09-11 Dec 2017.

Maadi, S. and Schmoecker, J.D. (2017) Non-Linear Fares Within Frequency-Based Transit Assignment. Optimization in Traffic and Transport Conference (Heureka), Stuttgart, Germany, 22-23 Mar 2017.

Jin, Z., Schmocker, J.D., Maadi, S. and Nakamura, T. (2017) Public Transportation Fare Level Optimization of Model Cities. 55th Annual Conference on Infrastructure Planning and Management, Japan, 2017.

Maadi, S. and Schmoecker, J.D. (2017) Optimal hyperpaths with non-additive link costs. 22nd International Symposium on Transportation and Traffic Theory (ISTTT22), Chicago, IL, USA, 24-26 Jul 2017. (doi: 10.1016/j.trpro.2017.05.044)

Maadi, S., Shariat Mohaymany, A. and Babaei, M. (2012) Application of Genetic Algorithm to the Emergency Medical Services Location Problem. Regional Conference on Recent Research in Mathematics, Iran, 2012.

Maadi, S., Shariat Mohaymany, A. and Babaei, M. (2011) Application of Imperialist Competitive Algorithm to the Emergency Medical Services Location Problem. 2011 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2011), Guangdong, China, 18 Nov 2011.

Maadi, S., Shariat Mohaymany, A. and Babaei, M. (2011) Application of Particle Swarm Optimization to the Emergency Medical Services Location Problem. 3rd National Congress on Urban Development, Sanandaj, Iran, 26 Oct 2011.

Maadi, S., Shariat Mohaymany, A. and Babaei, M. (2011) Application of Imperialist Competitive Algorithm to the Emergency Medical Services Location Problem. Regional Conference on New Approaches in Computer Engineering and Information Technology, Iran, 2011.

Conference Proceedings

Sinclair, M. , Maadi, S., Zhao, Q. , Hong, J. and Bailey, N. (2022) Understanding the Socio-demographic Representation of Tamoco Mobile Phone App Data in Glasgow City Region. In: GISRUK 2022, Liverpool, UK, 05-08 Apr 2022, (doi: 10.5281/zenodo.6411683)

Sinclair, M. , Zhao, Q. , Bailey, N. , Maadi, S. and Hong, J. (2021) Understanding the Use of Greenspace Before and During the COVID-19 Pandemic by Using Mobile Phone App Data. In: GIScience 2021, 27-30 Sep 2021, (doi: 10.25436/E2D59P)