Prof. Dr. Francesco Viti
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| Fakultät oder Zentrum | Fakultät für Naturwissenschaften, Technologie und Medizin | ||||||||
| Department | Fachbereich Ingenieurwissenschaften | ||||||||
| Postadresse |
Université du Luxembourg Maison du Nombre 6, Avenue de la Fonte L-4364 Esch-sur-Alzette |
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| Büroadresse | MNO, E04 0415-080 | ||||||||
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| Telefon | (+352) 46 66 44 5352 | ||||||||
| Soziale Medien & Blogs | |||||||||
| Gesprochene Sprachen | Dutch, English, French, Italian, Portuguese, Spanish | ||||||||
| Forschungsaufenthalte in | Belgium, Italy, Netherlands | ||||||||
2023
ADDRESSING THE IMPACT OF MAINTENANCE IN SHUNTING OPERATIONS THROUGH SHUNT-IN POLICIES FOR FREIGHT TRAINS OPERATIONS.; ; ; ;
Scientific Conference (2023)
ADDRESSING THE IMPACT OF MAINTENANCE IN SHUNTING OPERATIONS THROUGH SHUNT-IN POLICIES FOR FREIGHT TRAINS OPERATIONS.; ; ; ;
Scientific Conference (2023)
Uncovering factors influencing railway passenger experiences through love and breakup declarations; ; ; ;
in Applied Ergonomics (2023), 111
Missions and factors determining the demand for affordable mass space tourism in the United States: A machine learning approach; ; ; ; ;
in Acta Astronautica (2023), 204
Identifying the rail operating features associated to intermodal freight rail operation delays;
in Transportation Research. Part C, Emerging Technologies (2023), 147
Exploring the potential of Google Popular Times for transit demand estimation; ; ;
Scientific Conference (2023)
2022
COMPETITION AND COOPERATION BETWEEN SUPPLIERS IN MULTIMODAL NETWORK DESIGN PROBLEMS; ;
Scientific Conference (2022, June)
Evaluating Mobility Service Providers’ Strategies in an Activity-Based Supernetwork; ;
Scientific Conference (2022, June)
The Wagon Assignment Policy problem: Policy Comparison on the Wagon Fleet optimization.; ; ; ;
Presentation (2022, June 02)
Analysis of MaaS membership attributes: An agent-based approach; ; ;
in Transportation Research Procedia (2022)
MaaS modelling: a review of factors, customers’ profiles, choices and business models; ; ; ;
Scientific Conference (2022, November)
The impact of total cost of ownership on MaaS system appeal using an agent-based approach; ;
in The impact of total cost of ownership on MaaS system appeal using an agent-based approach (2022, September)
Comparing MaaS Business Plans Using an Agent Based Modelling Approach; ;
Scientific Conference (2022, June 02)
A Classification Approach Using Machine Learning for Predicting Traffic Flows in Areas with Missing Sensors; ; ; ;
in Transportation Research Board 101st Annual Meeting (2022)
Systematic Analysis and Modelling of Profit Maximization on Carsharing; ; ; ;
in Journal of Advanced Transportation (2022)
Assessing Equity in Carsharing Systems: The case of Munich, Germany;
in Transportation Research Procedia (2022)
Principles for setting single or multiline bus holding control based on network characteristics; ; ; ;
Scientific Conference (2022)
Identifying the Major Causes Associated to Rail Intermodal Operation Disruptions Using Causal Machine Learning; ; ;
in Transportation Research Board 101st Annual Meeting (2022)
An advanced genetic algorithm for large-scale mixed-fleet multi-terminal electric bus scheduling; ; ;
Scientific Conference (2022)
IS PERIMETER CONTROL AN EMERGING STRUCTURE IN NETWORK-WIDE URBAN TRAFFIC MANAGEMENT?; ;
Scientific Conference (2022, January)
Quantifying the Relation between Activity Pattern Complexity and Car Use Using a Partial Least Square Structural Equation Model; ; ; ;
in Sustainability (2022), 14(19),
Estimating Public Transport Demand Information Using Crowdsourced Data; ;
Scientific Conference (2022)
Editorial: Managing future motorway and urban traffic systems; ; ;
in Transportation Research. Part C, Emerging Technologies (2022)
2021
Luxembourg 2050 - Prospects for a Regenerative City Landscape : Report Phase 2; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
Report (2021)
Luxembourg 2050 - Prospects for a Regenerative City-Landscape - Report Phase 2; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
Report (2021)
ASSESSING PROFIT MAXIMIZATION AND FLEET MANAGEMENT IN A MULTIMODAL NETWORK DESIGN PROBLEM; ;
in Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021: Sustainable Mobility (2021, December)
Luxembourg 2050 - Prospects for a Regenerative City Landscape : Report Phase 1; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
Report (2021)
Analysis of MaaS membership attributes: an agent-based approach; ; ;
in Transportation Research Procedia (2021)
IMPACT OF USERS’ SUPPLY CHARATERISTICS ON MAAS SUBSCRIPTION: A CASE STUDY; ;
in Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021: Sustainable Mobility (2021, December)
Explorative analysis of potential MaaS customers: An agent-based scenario; ;
in Transportation Research Procedia (2021)
Microscopic energy consumption modelling of electric buses: model development, calibration, and validation; ; ; ;
in Transportation Research. Part D, Transport and Environment (2021)
Systematic Analysis and Modelling of Profit Maximization on Carsharing; ; ; ;
Poster (2021, January)
Assessing Equity in Carsharing Systems: the case of Munich, Germany;
in Transportation Research Procedia (2021)
Principles for setting single or multiline control based on network characteristics; ; ; ;
Poster (2021, January)
A holding control strategy for diverging bus lines; ; ; ;
in Transportation Research. Part C, Emerging Technologies (2021)
Applying synchronization in branch and trunk bus networks: an experimental analysis; ;
Scientific Conference (2021, June)
Sensitivity Analysis on Regularity Based Driver Advisory Systems; ;
Scientific Conference (2021, February)
Investigating heuristic algorithms for minimal controller location set problem in transportation networks; ;
Scientific Conference (2021, February)
Observability based data-fusion cascading filtering for urban network flow estimation;
in IEEE Xplore (2021, June)
A Markov Chain Monte Carlo Approach for Estimating Daily Activity Patterns; ; ; ;
Scientific Conference (2021, February)
ESTIMATION OF MACROSCOPIC ACTIVITY-TRAVEL DEMAND: A UTILITY MAXIMIZATION APPROACH; ;
in Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021: Sustainable Mobility (2021, December)
Dynamic Modal Split Incorporating Trip Chaining: A Parsimonious Approach to Mode-Specific Demand Estimation; ;
in Transportation Research Procedia (2021)
Causal Analysis of SARS-COVID-19 Outbreak on European Cities Urban Mobility; ;
Scientific Conference (2021, May)
The Impact of SARS-COVID-19 Outbreak on European Cities Urban Mobility; ;
in Frontiers in Future Transportation (2021)
2020
Incorporating trip chaining within online demand estimation; ; ; ;
in Transportation Research. Part B, Methodological (2020), 132
Inferring Urban Mobility and Habits from User Location History; ; ; ;
in Transportation Research Procedia (2020, January), 47
A Big Data Demand Estimation Model for Urban Congested Networks;
in Transport and Telecommunication (2020)
Impact of Congestion Pricing Policies in Round-Trip and Free-Floating Carsharing Systems; ;
in Nathail, Eftihia (Ed.) Advances in Mobility-as-a-Service Systems (2020, November)
Guest Editorial Introduction of the Special Issue on Management of Future Motorway and Urban Traffic Systems; ;
in IEEE Transactions on Intelligent Transportation Systems (2020), 21(4), 1631-1634
Assessing Two-way and One-way Carsharing: an Agent-Based Simulation Approach; ;
in Transportation Research Procedia (2020), 52
Dynamic Pricing on Round-Trip Carsharing Services: Travel Behavior and Equity Impact Analysis through an Agent-Based Simulation; ;
in Sustainability (2020), 12(17),
Availability-Based Dynamic Pricing on a Round-Trip Carsharing Service: an Experimental Design Using Agent-Based Simulation; ;
Scientific Conference (2020, January)
Sensitivity Analysis on Regularity Based Driver Advisory Systems; ;
in 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (2020, December)
Enhancing Bus Holding Control Using Cooperative ITS; ;
in IEEE Transactions on Intelligent Transportation Systems (2020), 21(4), 1767-1778
Heuristic methods for minimal controller location set problem in transportation networks; ;
in Transportation Research Procedia (2020), 52
Model and Solution Methods for the Mixed-Fleet Multi-Terminal Bus Scheduling Problem; ; ;
in Transportation Research Procedia (2020, January), 47
Mixed-fleet single-terminal bus scheduling problem: Modelling, solution scheme and potential applications; ; ;
in Omega: the International Journal of Management Science (2020), 96
A cascading Kalman filtering framework for real-time urban network flow estimation;
in 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (2020, December)
Investigating the Relationship between Controller Locations and Dynamic Traffic Control in Generic Transportation Networks;
in Transportation Research Record: Journal of the Transportation Research Board (2020), 2674(5), 172-182
Trip chaining impact on within-day mode choice dynamics: Evidences from a multi-day travel survey; ;
in Transportation Research Procedia (2020), 52
Analysis of Cooperative Bus Priority at Traffic Signals; ;
in IEEE Transactions on Intelligent Transportation Systems (2020), 21(5), 1929-1940
Short- and Long-Term Impacts of Workplace Relocation: A Survey and Experience from the University of Luxembourg Relocation; ;
in Sustainability (2020), 12(18),
Optimal Management of Electrified and Cooperative Bus Systems; ;
in Transportation Systems for Smart, Sustainable, Inclusive and Secure Cities (2020)
On the Relationship between Activity Pattern Complexity and Car Use: A Structural Equation Modelling Approach; ;
Scientific Conference (2020, January)
2019
Incorporating trip chaining within online demand estimation; ; ; ;
in Transportation Research. Part B, Methodological (2019)
Incorporating trip chaining within online demand estimation; ; ; ;
in Transportation Research Procedia (2019), 38
A Big Data Demand Estimation Framework for Modelling of Urban Congested Networks;
in CSUM 2018, AISC 879 proceedings (2019)
Leveraging GIS Data and Topological Information to Infer Trip Chaining Behaviour at Macroscopic Level; ; ;
Scientific Conference (2019, June)
Supply characteristics and membership choice in round-trip and free-floating carsharing systems; ; ;
Scientific Conference (2019, June)
Impact of Road Pricing in Round-Trip and Free-Floating Carsharing Operations; ;
Scientific Conference (2019, September)
How Road and Mobile Networks Correlate: Estimating Urban Traffic Using Handovers; ; ;
in IEEE Transactions on Intelligent Transportation Systems (2019)
Availability-based dynamic pricing on a round-trip carsharing service: an explorative analysis using agent-based simulation ; ;
in Transportation Research Procedia (2019)
Principles for setting single line and multiline control based on network characteristics; ; ; ;
Scientific Conference (2019, September)
A real time hybrid controller for regulating bus operations and reducing stops at signals; ;
Scientific Conference (2019, June)
Towards Optimized Deployment of Electric Bus Systems Using Cooperative ITS; ;
Poster (2019, January)
On the substitutability of traffic light and pricing controllers in transportation networks; ;
Scientific Conference (2019, June)
Mixed hybrid and electric bus dynamic fleet management in urban networks: a model predictive control approach; ; ; ;
Scientific Conference (2019, June)
Mixed hybrid and electric bus dynamic fleet management in urban networks: a model predictive control approach; ; ;
Scientific Conference (2019, January)
Investigating the effect of controller locations on centralised dynamic traffic control with equilibrium constraints;
Scientific Conference (2019, September)
Investigating the robustness of route-based sensor location policies under variable network demand;
Scientific Conference (2019, June)
A Markov Chain Monte Carlo Approach for Estimating Daily Activity Patterns; ; ; ;
Poster (2019, January)
Towards Dynamic Zero Emission Zone Management for Plug-in Hybrid Buses;
Scientific Conference (2019, November)
Traffic control which maximises network throughput: Some simple examples; ; ; ;
in Transportation Research. Part C, Emerging Technologies (2019), 107
Quasi-dynamic traffic assignment with spatial queueing, control and blocking back; ; ; ;
in Transportation Research. Part B, Methodological (2019)
2018
Utility-Based Kalman Filtering for real-time estimation of daily demand flows; ; ; ;
Scientific Conference (2018)
Incorporating activity duration and scheduling utility into equilibrium-based Dynamic Traffic Assignment;
in Transportation Research. Part B, Methodological (2018)
Evaluating the reliability of the Utility-Based Dynamic OD Estimation on Large Networks;
Scientific Conference (2018, January)
A utility-based dynamic demand estimation model that explicitly accounts for activity scheduling and duration; ; ;
in Transportation Research. Part A, Policy and Practice (2018)
Real time multiline holding control for networks with shared transit corridor; ; ; ;
Scientific Conference (2018, September 05)
Multiline holding based control for lines merging to a shared transit corridor; ; ; ;
in Transportmetrica B: Transport Dynamics (2018)
Towards Optimised Deployment of Electric Bus Systems with On-Route Charging using Cooperative ITS; ;
Scientific Conference (2018, July)
Improving Public Transport Service Regularity using Cooperative Driver Advisory Systems; ;
Presentation (2018, June 12)
Decompositions of the optimal dispatching problem of electric and electric-hybrid buses with energy constraints for Luxembourg City; ; ; ;
Scientific Conference (2018, September)
Optimal multi-line bus dispatching at terminals with electric charging scheduling constraints; ; ; ; ;
Scientific Conference (2018, July)
Optimal dispatching of electric and hybrid buses subject to scheduling and charging constraints; ; ; ;
Scientific Conference (2018, November)
Assessing the performance of coordinated predictive control strategies on urban-motorway networks;
in IFAC-PapersOnLine (2018, July), 51(9), 285-290
Vulnerability analysis of network observability in link flow inference problems;
Scientific Conference (2018, January)
The effect of workplace relocation on individuals’ activity travel behavior;
in Journal of Transport and Land Use (2018), 11(1),
Using Passive Data Collection Methods to Learn Complex Mobility Patterns: An Exploratory Analysis; ; ;
Scientific Conference (2018)
A New Modelling Framework over Temporal Graphs for Collaborative Mobility Recommendation Systems; ; ; ; ;
in A New Modelling Framework over Temporal Graphs for Collaborative Mobility Recommendation Systems (2018, March 15)
2017
Effectiveness of the Two-Step Dynamic Demand Estimation model on large networks; ;
in Proceedings of 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) (2017, June 28)
Equilibrium models in multimodal container transport systems; ;
in Flexible Services and Manufacturing Journal (2017), 29
How Mobile Phone Handovers reflect Urban Mobility: A Simulation Study; ; ;
in Proceedings of the 5th IEEE Conference on Models and Technologies for Intelligent Transportation Systems. (2017, June 26)
Estimating Urban Road Traffic States Using Mobile Network Signaling Data; ; ;
in Abstract book of the 20th International Conference on Intelligent Transportation Systems (2017, October)
Experimental analysis of eGLOSA and eGLODTA transit control strategies; ; ; ;
in Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 (2017)
An iterative learning approach for anticipatory traffic signal control on urban networks; ;
in Transportmetrica B: Transport Dynamics (2017), 5(4), 407-430
Coordinating merging public transport operations using holding control strategies; ; ;
Scientific Conference (2017, September 12)
On characterizing the relationship between route choice behaviuor and optimal traffic control solution space; ;
in Transportation Research. Part B : Methodological (2017)
On characterizing the relationship between route choice behavior and optimal traffic control solution space; ;
in Transportation Research Procedia (2017), 23
A global optimization heuristic for the decomposed static anticipatory network traffic control problem anticipatory network traffic control problem; ;
in Transportation Research Procedia (2017)
Exact and approximate route set generation for resilient partial observability in sensor location problems;
in Transportation Research. Part B : Methodological (2017), 105
Generating purpose-dependent production factors through Monte Carlo sampling techniques.; ;
Scientific Conference (2017, May)
Generating Macroscopic, Purpose-Dependent Production Factors Through Monte Carlo Sampling Techniques; ;
in Transportation Research Procedia (2017)
Novel C-ITS support for Electric Buses with Opportunity Charging;
in Proceedings of IEEE-ITS Conference (2017)
On the consistency between commuting satisfaction and traveling utility: the case of the University of Luxembourg; ;
in European Journal of Transport and Infrastructure Research (2017), 17(2), 248-262
The effect of workplace relocation on individuals’ activity travel behaviour;
Scientific Conference (2017, July 04)
Discussion on cross-border integration using non-dominant mobility flows;
Scientific Conference (2017, April 12)
Usage of Smartphone Data to Derive an Indicator for Collaborative Mobility between Individuals; ; ; ;
in ISPRS International Journal of Geo-Information (2017), 6(3), 62
Lessons learnt from a corporate car-sharing system: the case of the University of Luxembourg;
Scientific Conference (2017, May)
A local dynamic route and green time swapping control algorithm maximizing total network capacity;
in Proceedings of the 25th Mediterranean Conference on Control and Automation, MED 2017 (2017)
2016
An Extended Cooperative Adaptive Cruise Control (CACC) Algorithm for Efficient Energy Consumption & Traffic Density Formulation; ; ;
in Traffic Flow Theory and Characteristics Committee (AHB45) 2016 Summer Meeting, Sydney, Australia, 2016 (2016, July 02)
Impact of Different Spacing Policies for Adaptive Cruise Control on Traffic and Energy Consumption of Electric Vehicles; ; ;
in 24th Mediterranean Conference on Control and Automation (MED), Athens, Greece, 2016 (2016, June 23)
Effects of incorporating activity duration and scheduling utility on the equilibrium-based dynamic traffic assignment;
Scientific Conference (2016, July)
A network-wide assessment of local signal control policies’ performance in practical implementations; ;
in Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on (2016, November)
New services, new travelers, old models? Directions to pioneer public transport models in the era of big data; ;
in Journal of Intelligent Transportation Systems (2016)
Estimating speed profiles from aerial vision - A comparison of regression based sampling techniques; ;
in Proceedings of the IEEE 24th Mediterranean Conference on Control and Automation (2016, June)
Robust control strategy for minimising energy consumption of electric buses using cooperative ITS technology; ;
Scientific Conference (2016)
An Optimization-Based Iterative Learning Method for Anticipatory Network Traffic Control; ; ;
in Proceedings of the 16th COTA International Conference of Transportation Professionals (2016)
A dual control approach for repeated anticipatory traffic control with estimation of network flow sensitivity; ;
in Journal of Advanced Transportation (2016)
An iterative learning approach for anticipatory traffic signal control on urban networks; ;
in Transportmetrica B: Transport Dynamics (2016)
Repeated anticipatory network traffic control using iterative optimization accounting for model bias correction; ;
in Transportation Research. Part C : Emerging Technologies (2016)
A real-time holding decision rule accounting for passenger travel cost; ; ;
Scientific Conference (2016, November 04)
The Cost of Environmental Constraints in Traffic Networks: Assessing the Loss of Optimality; ; ;
in Networks and Spatial Economics (2016)
Public Transport in the Era of ITS: ITS Technologies for Public Transport; ; ; ;
in Gentile, Guido; Klaus, Noekel (Eds.) Public Transport in the Era of ITS (2016)
Network observability information maximization through ad-hoc route enumeration approaches; ;
Scientific Conference (2016, June)
Improving the accuracy of OD estimation from traffic counts employing a partial observabillity maximizing methodology; ; ;
Scientific Conference (2016, January)
Public Transport in the Era of ITS: The Role of Public Transport in Sustainable Cities and Regions; ;
in Public Transport in the Era of ITS (2016)
Towards Optimised Large Scale Deployments of Electric Bus Systems with On-Route Charging; ;
Scientific Conference (2016, October)
A Survey of Cooperative ITS for Next Generation Public Transport Systems;
in Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on (2016, November)
Analyzing the correlation between commuting satisfaction and travelling utility; ;
Scientific Conference (2016, July 13)
Considering activity pattern to achieve a more sustainable commuting behavior; ; ;
Scientific Conference (2016, September 19)
Cross-border activity-travel patterns: the Luxembourg residents perspective; ;
Scientific Conference (2016, October 07)
A dynamic route swapping and control algorithm that maximises network capacity accounting for node constraints and blocking back; ;
Scientific Conference (2016, July)
2015
On the link between activity patterns and traffic within-day demand profiles: empirical analysis and application to demand estimation;
Scientific Conference (2015, September)
A two-steps dynamic demand estimation approach sequentially adjusting generations and distributions; ; ;
in Proceedings of IEEE-ITS Conference (2015, September)
Systematic assessment of local & global signal control policies: A methodological perspective; ; ; ; ;
in Proceedings of 2015 International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2015 (2015)
Systematic analysis of global and local control policies; ; ; ; ;
in Periodica Polytechnica Transportation Engineering (2015)
Systematic assessment of local & global control policies: A methodological perspective; ; ; ; ;
in Proceedings of the MT-ITS Conference (2015, June)
Editorial: Challenges, specificities and commonalities of transport research and policy within the BENELUX countries–the case of Luxembourg; ; ;
in European Journal of Transport and Infrastructure Research (2015), 15(4), 501-505
The Impact of Route Choice Modeling on Dynamic OD Estimation; ; ; ;
in Proceedings of IEEE-ITS Conference (2015, September)
A Markov Chain dynamic model for trip generation and distribution based on CDR; ;
in Proceedings of the MT-ITS Conference (2015, June)
Assessing the consistency between observed and modelled route choices through GPS data; ; ;
in Proceedings of the MT-ITS Conference (2015, June)
An integrated approach to adaptive anticipatory traffic control and parameter estimation; ;
in Proceedings of the MT-ITS Conference (2015, June)
An integrated approach to apdative anticipatory traffic control and parameter estimation; ;
in Proceedings of the MT-ITS Conference (2015, June)
Iterative optimization for adaptive anticipatory control in urban traffic networks; ;
Scientific Conference (2015, July)
Assessing the effect of route information on network observability applied to sensor location problems; ;
in Transportation Research Procedia (2015), 10
Signal phase and timing (spat) for cooperative public transport priority measures; ;
Scientific Conference (2015, October)
Distributed Automatic Vehicle Location (AVL) System Based on Connected Vehicle Technology; ; ;
in Proceedings of IEEE-ITS Conference (2015, September)
On the consistency between travelers’ satisfaction and utility: the case of the University of Luxembourg; ;
Scientific Conference (2015, July)
A combined parking and carpooling policy: the case of the University of Luxembourg; ;
Scientific Conference (2015, May 29)
Analysis to Feature-Based Video Stabilization/Registration Techniques within Application of Traffic Data Collection;
in Proceedings of the ICMV Conference (2015)
Collecting Activity-Travel Data and Individual Mobility Analysis Using Smartphone and Smart Watch: A Case Study in Luxembourg; ;
Scientific Conference (2015, November)
A Markov chain dynamic model for trip generation and distribution based on CDR;
in Periodica Polytechnica Transportation Engineering (2015)
Improving the reliability of demand estimation using traffic counts by including information on link flow observability; ; ;
Scientific Conference (2015, August)
A smart multimodal mobility platform that jointly optimises travellers’ needs and transport services; ;
Poster (2015, November)
2014
Evaluation of intervention strategies for a road link in the Netherlands; ; ;
in Built Environment Project and Asset Management (2014), 4(2), 180-198
Exploiting the relation between Activity Data and Traffic Data within the Dynamic Demand Estimation Problem; ;
Scientific Conference (2014)
A TWO-STEP APPROACH FOR THE CORRECTION OF THE SEED MATRIX IN THE DYNAMIC DEMAND ESTIMATION; ; ; ;
in Transportation Research Record: Journal of the Transportation Research Board (2014), 2466
Improving the efficiency of repeated dynamic network loading through marginal simulation; ; ; ;
in Transportation Research. Part C : Emerging Technologies (2014), 41
Dynamic Origin-Destination Matrix Estimation on Large-Scale Congested Networks Using A Hierarchical Decomposition Scheme; ;
in Journal of Intelligent Transportation Systems (2014), 18(1), 51-66
An adaptive flow anticipatory control using daily iterative learning in urban traffic networks; ;
Scientific Conference (2014, June)
Workplace Relocation and Mobility Changes in a Transnational Metropolitan Area: The Case of the University of Luxembourg; ; ;
in Transportation Research Procedia (2014, December), 4
A Joint Day-to-Day Mode and Within-Day Departure Time Choice Model for the Analysis of Dynamic Ridesharing;
Scientific Conference (2014, June 19)
Assessing partial observability in network sensor location problems; ; ;
in Transportation Research. Part B : Methodological (2014), 70
Models and Technologies for Intelligent Transportation Systems: new challenges and metaheuristic solutions for large-scale network applications;
in Journal of Intelligent Transportation Systems (2014), 18(1), 1-4
Dynamic modeling of VISSIM's critical gap parameter at unsignalized intersections; ; ;
in Transportation Research Record: Journal of the Transportation Research Board (2014), 2395
2013
Evaluating the effects of information reliability on travellers’ route choice; ;
in European Transport Research Review (2013)
Dynamic OD estimation in congested networks: theoretical findings and implications in practice; ;
in Transportmetrica (2013), 9(6), 494-513
Proceedings of the BIVEC-GIBET Transport Research Days 2013; ; ;
Book published by University Press (2013)
Signal control strategies in day-to-day dynamic process of combined traffic assignment and control; ;
Scientific Conference (2013)
An Iterative Learning Approach for Signal Control in Urban Traffic Networks; ;
in Proceedings of IEEE-ITS Conference (2013)
Calibration of a microscopic simulation model for emission calculation; ; ; ;
in Transportation Research. Part C : Emerging Technologies (2013), 31
A Null-Space metric for the analysis of partial network observability in sensor location problems; ;
Scientific Conference (2013)
Equilibrium in capacitated network models with queueing delays, queue-storage, blocking back and control; ;
in Procedia Social and Behavioral Sciences (2013), 80
Combining demand management and merge control in an equilibrium network model; ;
Scientific Conference (2013)
Quantifying partial observability in network sensor location problems; ;
Scientific Conference (2013)
| URL: https://wwwde.uni.lu/forschung/fstm/doe/mitglieder/francesco_viti | Datum: Freitag, den 09. Juni 2023, 11:10 |