*Rigas, E.S.[Emmanouil S.]*,
*Ramchurn, S.D.[Sarvapali D.]*,
*Bassiliades, N.[Nick]*,

**Algorithms for electric vehicle scheduling in large-scale
mobility-on-demand schemes**,

*AI(262)*, 2018, pp. 248-278.

Elsevier DOI
**1809**

Mixed integer programming, Heuristic search, Local search,
Max-flow, Electric vehicles, Shared vehicles, Mobility on demand
BibRef

*Guo, S.[Suiming]*,
*Chen, C.[Chao]*,
*Liu, Y.X.[Ya-Xiao]*,
*Xu, K.[Ke]*,
*Guo, B.[Bin]*,
*Chiu, D.M.[Dah Ming]*,

**How to pay less: a location-specific approach to predict dynamic prices
in ride-on-demand services**,

*IET-ITS(12)*, No. 7, September 2018, pp. 610-618.

DOI Link
**1808**

BibRef

*Drakoulis, R.*,
*Bellotti, F.*,
*Bakas, I.*,
*Berta, R.*,
*Paranthaman, P.K.*,
*Dange, G.R.*,
*Lytrivis, P.*,
*Pagle, K.*,
*de Gloria, A.*,
*Amditis, A.*,

**A Gamified Flexible Transportation Service for On-Demand Public
Transport**,

*ITS(19)*, No. 3, March 2018, pp. 921-933.

IEEE DOI
**1804**

Games, Linear programming,
Public transportation, Urban areas, Vehicle dynamics,
serious game
BibRef

*Wang, L.[Lei]*,
*Zhong, Y.[Yugao]*,
*Ma, W.[Wanjing]*,

**GPS-data-driven dynamic destination prediction for on-demand one-way
carsharing system**,

*IET-ITS(12)*, No. 10, December 2018, pp. 1291-1299.

DOI Link
**1812**

BibRef

*Egan, M.*,
*Oren, N.*,
*Jakob, M.*,

**Hybrid Mechanisms for On-Demand Transport**,

*ITS(20)*, No. 12, December 2019, pp. 4500-4512.

IEEE DOI
**2001**

Pricing, Public transportation, Vehicles, Routing,
Probability density function, Urban areas, Resource management, pricing
BibRef

*Yu, X.*,
*Shen, S.*,

**An Integrated Decomposition and Approximate Dynamic Programming
Approach for On-Demand Ride Pooling**,

*ITS(21)*, No. 9, September 2020, pp. 3811-3820.

IEEE DOI
**2008**

Vehicles, Delays, Computational modeling, Optimization,
Vehicle dynamics, Stochastic processes, Dynamic programming,
approximate dynamic programming
BibRef

*Salazar, M.*,
*Lanzetti, N.*,
*Rossi, F.*,
*Schiffer, M.*,
*Pavone, M.*,

**Intermodal Autonomous Mobility-on-Demand**,

*ITS(21)*, No. 9, September 2020, pp. 3946-3960.

IEEE DOI
**2008**

Roads, Pricing, Public transportation, Optimization, Urban areas,
Legged locomotion, Autonomous vehicles, networks, optimization,
public transportation
BibRef

*Chu, K.F.[Kai-Fung]*,
*Lam, A.Y.S.[Albert Y. S.]*,
*Li, V.O.K.[Victor O. K.]*,

**Joint Rebalancing and Vehicle-to-Grid Coordination for Autonomous
Vehicle Public Transportation System**,

*ITS(23)*, No. 7, July 2022, pp. 7156-7169.

IEEE DOI
**2207**

Vehicle-to-grid, Schedules, Roads, Public transportation,
Genetic algorithms, Autonomous vehicles, Predictive models,
autonomous mobility-on-demand systems
BibRef

*Huang, H.P.[Hai-Ping]*,
*Hu, C.X.[Cheng-Xi]*,
*Zhu, J.[Jie]*,
*Wu, M.[Min]*,
*Malekian, R.[Reza]*,

**Stochastic Task Scheduling in UAV-Based Intelligent On-Demand Meal
Delivery System**,

*ITS(23)*, No. 8, August 2022, pp. 13040-13054.

IEEE DOI
**2208**

Task analysis, Heuristic algorithms, Routing, Costs,
Vehicle dynamics, Stochastic processes, Logistics, UAV, rescheduling strategy
BibRef

*Liu, Y.[Yang]*,
*Samaranayake, S.[Samitha]*,

**Proactive Rebalancing and Speed-Up Techniques for On-Demand High
Capacity Ridesourcing Services**,

*ITS(23)*, No. 2, February 2022, pp. 819-826.

IEEE DOI
**2202**

Delays, Public transportation, Probabilistic logic, Routing,
Real-time systems, System performance, Ridesourcing,
proactive rebalancing
BibRef

*Qian, X.[Xinwu]*,
*Ukkusuri, S.V.[Satish V.]*,
*Yang, C.[Chao]*,
*Yan, F.F.[Fen-Fan]*,

**Short-Term Demand Forecasting for on-Demand Mobility Service**,

*ITS(23)*, No. 2, February 2022, pp. 1019-1029.

IEEE DOI
**2202**

Public transportation, Correlation, Predictive models, Urban areas,
Data models, Spatiotemporal phenomena, Machine learning,
boosting Gaussian conditional random field
BibRef

*Chen, R.[Rui]*,
*Cassandras, C.G.[Christos G.]*,

**Optimal Assignments in Mobility-on-Demand Systems Using Event-Driven
Receding Horizon Control**,

*ITS(23)*, No. 3, March 2022, pp. 1969-1983.

IEEE DOI
**2203**

Complexity theory, Vehicle dynamics, Real-time systems,
Optimization, Urban areas, Public transportation, vehicle assignments
BibRef

*Huang, X.[Xianan]*,
*Li, B.Q.[Bo-Qi]*,
*Peng, H.[Huei]*,
*Auld, J.A.[Joshua A.]*,
*Sokolov, V.O.[Vadim O.]*,

**Eco-Mobility-on-Demand Fleet Control With Ride-Sharing**,

*ITS(23)*, No. 4, April 2022, pp. 3158-3168.

IEEE DOI
**2204**

Fuels, Time factors, Optimization, Heuristic algorithms, Routing,
Delays, Transportation, Connected automated vehicle,
ride-sharing
BibRef

*Javanshour, F.[Farid]*,
*Dia, H.[Hussein]*,
*Duncan, G.[Gordon]*,
*Abduljabbar, R.[Rusul]*,
*Liyanage, S.[Sohani]*,

**Performance Evaluation of Station-Based Autonomous On-Demand
Car-Sharing Systems**,

*ITS(23)*, No. 7, July 2022, pp. 7721-7732.

IEEE DOI
**2207**

Vehicle dynamics, Urban areas, Roads, Public transportation,
Optimization, Heuristic algorithms, Autonomous vehicles,
shared autonomous mobility-on-demand
BibRef

*Ni, L.[Liang]*,
*Sun, B.[Bo]*,
*Wang, S.[Su]*,
*Tsang, D.H.K.[Danny H. K.]*,

**Dynamic Pricing Mechanism Design for Electric Mobility-on-Demand
Systems**,

*ITS(23)*, No. 8, August 2022, pp. 11361-11375.

IEEE DOI
**2208**

Pricing, Decision making, Real-time systems, Dispatching,
Vehicle dynamics, Routing, Reinforcement learning,
sequential decision-making
BibRef

*Wollenstein-Betech, S.[Salomón]*,
*Salazar, M.[Mauro]*,
*Houshmand, A.[Arian]*,
*Pavone, M.[Marco]*,
*Paschalidis, I.C.[Ioannis Ch.]*,
*Cassandras, C.G.[Christos G.]*,

**Routing and Rebalancing Intermodal Autonomous Mobility-on-Demand
Systems in Mixed Traffic**,

*ITS(23)*, No. 8, August 2022, pp. 12263-12275.

IEEE DOI
**2208**

Routing, Legged locomotion, Vehicles, Urban areas, Switches, Roads,
Real-time systems, Mobility-on-demand, system-optimal routing,
mixed autonomy
BibRef

*Xu, S.J.[Susan Jia]*,
*Chow, J.Y.J.[Joseph Y. J.]*,

**Online Route Choice Modeling for Mobility-as-a-Service Networks With
Non-Separable, Congestible Link Capacity Effects**,

*ITS(23)*, No. 8, August 2022, pp. 11518-11527.

IEEE DOI
**2208**

Vehicle dynamics, Numerical models, Data models,
Biological system modeling, Urban areas, Real-time systems,
online route choice model
BibRef

*Perboli, G.[Guido]*,
*Rosano, M.[Mariangela]*,
*Wei, Q.[Qu]*,

**A Simulation-Optimization Approach for the Management of the
On-Demand Parcel Delivery in Sharing Economy**,

*ITS(23)*, No. 8, August 2022, pp. 10570-10582.

IEEE DOI
**2208**

Stochastic processes, Urban areas, Vehicles, Logistics,
Vehicle dynamics, Companies, Green products, Crowdsourcing,
stochastic and dynamic VRPTW
BibRef

*Xi, J.H.[Jin-Hao]*,
*Zhu, F.H.[Feng-Hua]*,
*Ye, P.J.[Pei-Jun]*,
*Lv, Y.S.[Yi-Sheng]*,
*Tang, H.[Haina]*,
*Wang, F.Y.[Fei-Yue]*,

**HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance
Vehicle Supply and Demand**,

*ITS(23)*, No. 11, November 2022, pp. 21861-21872.

IEEE DOI
**2212**

Reinforcement learning, Pricing, Heuristic algorithms,
Supply and demand, Surges, Vehicle dynamics, Vehicles,
mixed state
BibRef

*Hüttel, F.B.[Frederik Boe]*,
*Peled, I.[Inon]*,
*Rodrigues, F.[Filipe]*,
*Pereira, F.C.[Francisco C.]*,

**Modeling Censored Mobility Demand Through Censored Quantile
Regression Neural Networks**,

*ITS(23)*, No. 11, November 2022, pp. 21753-21765.

IEEE DOI
**2212**

Computational modeling, Data models, Biological neural networks,
Uncertainty, Computer architecture, Censorship, Bayes methods,
Bayesian modeling
BibRef

*Liang, Y.Y.[Yun-Yi]*,
*Wu, Z.Z.[Zhi-Zhou]*,
*Yang, H.C.[Hao-Chun]*,
*Wang, Y.H.[Yin-Hai]*,

**A Novel Framework for Road Side Unit Location Optimization for
Origin-Destination Demand Estimation**,

*ITS(23)*, No. 11, November 2022, pp. 21113-21126.

IEEE DOI
**2212**

Optimization, Estimation, Delays, Connected vehicles, Transportation,
Roads, Pareto optimization, Sensor location, road side unit,
origin-destination demand estimation
BibRef

*Huang, Z.H.[Zi-Heng]*,
*Wang, D.[Dujuan]*,
*Yin, Y.Q.[Yun-Qiang]*,
*Li, X.[Xiang]*,

**A Spatiotemporal Bidirectional Attention-Based Ride-Hailing Demand
Prediction Model: A Case Study in Beijing During COVID-19**,

*ITS(23)*, No. 12, December 2022, pp. 25115-25126.

IEEE DOI
**2212**

Predictive models, Spatiotemporal phenomena, Correlation,
Deep learning, Epidemics, COVID-19, Neural networks,
multi-steps ahead prediction
BibRef

*Liu, K.[Kai]*,
*Chen, Z.[Zhiju]*,
*Yamamoto, T.[Toshiyuki]*,
*Tuo, L.[Liheng]*,

**Exploring the Impact of Spatiotemporal Granularity on the Demand
Prediction of Dynamic Ride-Hailing**,

*ITS(24)*, No. 1, January 2023, pp. 104-114.

IEEE DOI
**2301**

Spatiotemporal phenomena, Predictive models, Deep learning,
Time series analysis, Public transportation, Data models,
optimal granularity
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in

Bicycle Sharing, Bicycle Commuting, Bike Sharing .

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