References of "Viti, Francesco 50003272"
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See detailA Markov chain dynamic model for trip generation and distribution based on CDR
Viti, Francesco UL; Cantelmo, Guido UL

in Periodica Polytechnica Transportation Engineering (2015)

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See detailSystematic analysis of global and local control policies
Cantelmo, Guido UL; Viti, Francesco UL; Rinaldi, Marco et al

in Periodica Polytechnica Transportation Engineering (2015)

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See detailSignal phase and timing (spat) for cooperative public transport priority measures
Seredynski, Marcin; Viti, Francesco UL; Khadraoui, Djamel

Scientific Conference (2015, October)

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See detailThe Impact of Route Choice Modeling on Dynamic OD Estimation
Cipriani, Ernesto; Del Giudice, Andrea; Nigro, Marialisa et al

in Proceedings of IEEE-ITS Conference (2015, September)

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See detailDistributed Automatic Vehicle Location (AVL) System Based on Connected Vehicle Technology
Smietanka, Piotr; Szczypiorski, Krzysztof; Viti, Francesco UL et al

in Proceedings of IEEE-ITS Conference (2015, September)

Detailed reference viewed: 78 (9 UL)
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See detailA two-steps dynamic demand estimation approach sequentially adjusting generations and distributions
Cantelmo, Guido UL; Viti, Francesco UL; Cipriani, Ernesto et al

in Proceedings of IEEE-ITS Conference (2015, September)

Detailed reference viewed: 118 (7 UL)
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See detailIterative optimization for adaptive anticipatory control in urban traffic networks
Huang, Wei; Viti, Francesco UL; Tampere, Chris M.J.

Scientific Conference (2015, July)

Detailed reference viewed: 79 (1 UL)
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See detailAssessing the effect of route information on network observability applied to sensor location problems
Rinaldi, Marco; Corman, Francesco; Viti, Francesco UL

in Transportation Research Procedia (2015), 10

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See detailAssessing the consistency between observed and modelled route choices through GPS data
Hadjidimitriou, Selini N.; Dell'Amico, Mauro; Cantelmo, Guido UL et al

in Proceedings of the MT-ITS Conference (2015, June)

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See detailSystematic assessment of local & global control policies: A methodological perspective
Cantelmo, Guido UL; Viti, Francesco UL; Rinaldi, Marco et al

in Proceedings of the MT-ITS Conference (2015, June)

Detailed reference viewed: 82 (1 UL)
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See detailAn integrated approach to adaptive anticipatory traffic control and parameter estimation
Huang, Wei; Tampere, Chris M.J.; Viti, Francesco UL

in Proceedings of the MT-ITS Conference (2015, June)

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See detailAn integrated approach to apdative anticipatory traffic control and parameter estimation
Huang, Wei; Tampere, Chris M.J.; Viti, Francesco UL

in Proceedings of the MT-ITS Conference (2015, June)

Detailed reference viewed: 108 (1 UL)
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See detailA Markov Chain dynamic model for trip generation and distribution based on CDR
Di Donna, Simone Aniello UL; Cantelmo, Guido UL; Viti, Francesco UL

in Proceedings of the MT-ITS Conference (2015, June)

Detailed reference viewed: 160 (6 UL)
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See detailA combined parking and carpooling policy: the case of the University of Luxembourg
Sprumont, François UL; Viti, Francesco UL; Ouzdi, Youssef UL

Scientific Conference (2015, May 29)

With 2586km2, Luxembourg is the 7th European smallest country in Europe. Despite its small size this country is facing important mobility challenges. Out of the 380 000 available jobs in the country ... [more ▼]

With 2586km2, Luxembourg is the 7th European smallest country in Europe. Despite its small size this country is facing important mobility challenges. Out of the 380 000 available jobs in the country, nearly 43% of them are occupied by cross borders workers. These 165 000 cross borders traveling every day from France, Belgium and Germany generate an important pressure on the transport infrastructures. Because 89% of the cross-borders workers and 74% of the resident workers commute by car, the road system, at peak hours, reaches saturation. In order to decrease the pressure (in term of commuting flow, residential prices, etc.) on Luxembourg City and to reach a more balanced polycentric development across the country the development of Belval has been decided by the government. This new-town which is located 20km south-west of Luxembourg-City will attract economic activity and residential units. The University of Luxembourg will be one of institutions relocating most of its infrastructure in Belval. Without any doubts, this workplace relocation will greatly affect the University staff commuting mobility. In accordance to any public institution or large enterprise in this country, the University is more and more committed to reduce the carbon footprint related to the staff and students commuting behavior. The MODU (national sustainable mobility strategy) defines strong modal split objectives and the number of parking spaces available for the university on Belval site will rely on this national objective. So far, few scientific contributions analyzed the accessibility variation for car and Public Transport (PT) on important worker’s’ population considering relocation actions of this size. GIS tools and visualization techniques will permit to quantify the car and public transport accessibility vari ation due to the University move to Belval. The scientific contribution of this article lies in the relation between the car & PT accessibility and the development of Travel Demand Management (TDM) measures. Indeed, an innovative Parking Management Scheme (PMS) integrating car & PT accessibility to the new campus as well as carpooling use among the staff members will be presented. Our aim is to develop a mobility credit scheme system where users could use points to park their car or use the public transport system. Soft modes might collect additional points that could serve to get gifts or even cash back. Indeed, the objective is to reach a pragmatic parking policy that lead Single Occupancy Vehicle (SOV) to shift, first, to soft modes, then, to public transport and finally to carpooling. The key is the relation between the different travel modes and their existing incentives or disincentives. This approach might help other major private or public institutions to define optimum subsidy strategies regarding their parking and staff’s public seasonal ticket costs. [less ▲]

Detailed reference viewed: 165 (12 UL)