ABSTRACT: In recent years, both companies and researchers have been exploring
intelligent data analysis to increase the profitability of the taxi industry.
Intelligent systems for online taxi dispatching and time saving route finding
have been built to do so. In this paper, we propose a novel methodology to
produce online predictions regarding the spatial distribution of passenger
demand throughout taxi stand networks. We have done so by assembling two
well-known time series short-term forecast models: the time-varying Poisson
models and ARIMA models. Our tests were performed using data gathered over
a period of 6 months and collected from 63 taxi stands within the city of Porto,
Portugal. Our results demonstrate that this model is a true major contribution to
the driver mobility intelligence: 78% of the 253745 demanded taxi services
were correctly forecasted in a 30 minutes horizon.
Intelligent Data Analysis, Helsinki, Finland; 10/2012
ABSTRACT: Inter-vehicle communication is becoming increasingly relevant in the research and development of novel, innovative vehicular
applications. To support the driver in his/her primary driving task in an effective non distracting way, these applications
need to be evaluated in a realistic context from a driver’s perspective of the VANET environment. In this paper we propose
an innovative driver-centric simulation tool that integrates a VANET simulator with a driving simulator using communication
technologies to relay information about the vehicle to the VANET environment and vice versa. The driver behavior is reflected
in the VANET simulation system affecting the mobility of the cars in the vicinity and providing the intelligent driving model
with new realistic features.
KeywordsDriving Simulation–VANET Simulation–VANET Applications–Driving Model
03/2011: pages 143-154;
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), Fortaleza, Ceara, Brazil, March 16-20, 2008; 01/2008
ABSTRACT: The abstract interpretation framework has been used mainly in the global analysis of programs. Most often also, this interpretation is applied to the source Prolog program. In this paper we present
an abstract interpretation of more local nature, and applied to the intermediate code (WAM). The purpose of obtaining a more efficient specialized version of the
program remains the same as in global analysis approaches. Our specialization is multiple, meaning that we generate a different
version for each entry pattern detected by analysis. This poly-variant unfolding of predicates allows the local (predicate
level) analysis to propagate inter-procedurally relevant information. Besides time and complexity reduction of local versus
global analysis, our approach is suited for goal-independent specialization, and for the partial selection of predicates to specialize. The evaluation of this more general specialization
of programs in a full compiler shows that it is an alternative to global and goal-dependent methods.
12/2002: pages 286-303;
Practical Aspects of Declarative Languages, First International Workshop, PADL '99, San Antonio, Texas, USA, January 18-19, 1999, Proceedings; 01/1999