
Antony StathopoulosNational Technical University of Athens | NTUA · School of Civil Engineering, Dept. of Transportation Planning and Engineering
Antony Stathopoulos
Dr-Ing in Civil Engineering
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128
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Introduction
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September 1978 - September 2015
September 2015 - present
Publications
Publications (128)
This work investigates whether the user-generated data from multiple sources, such as Smart Cards and Social Media, can be used for identifying main mobility/activity patterns based solely on geo-tagged information. For performing such analysis, automated models for (i) retrieving users mobility patterns from historical, user-generated data logs, (...
As natural and human-induced disasters have increased in recent years in number, magnitude, and impacts, the frequency of evacuation orders is expected to be accordingly raised in the future. Practice has shown, however, that many times, the respective operations face impediments, thus indicating the need for efficient tools to facilitate them. Int...
Despite their inherent vulnerability to structural and functional degradation, transportation networks play a vital role in the aftermath of disasters by ensuring physical access to the affected communities and providing services according to the generated needs. In this setting of operational conditions and service needs which deviate from normal,...
Traffic signal optimization for both traffic plan design and signal timing is a task that demands significant time and computational resources. In this paper, we formulate a rapid algorithm for finding the best combination of signaling phases and their optimal timings which minimize the total delay of the entire period based on the multiple-period...
Risk management is a constant and necessary practice in the daily operation of traffic systems, especially since they are vulnerable to everyday risks that can cause failures in their performance. The concept of risk analysis and management is therefore necessary in traffic management and it is important to develop strategies, methods and tools for...
The successful introduction of LRT systems is inevitably related to the realistic estimation of their ridership; this is particularly true for cases of no prior experience in the use of such modes in the part of the traveling public. This paper presents a practical approach for developing a direct demand model, for the case of a planned LRT system...
The use of intelligent transport systems for the provision of real-time passenger information is an important incentive in efforts to strengthen the role of public transport and improve livability in large cities. Electronic signs installed at bus stops to disseminate information on bus arrivals are an important component of these systems with a si...
Transportation networks are one of the most important lifelines, designated to support societies even–if not especially-in cases of emergency. Though, the design and operations of the road infrastructure in metropolitan areas is typically based on demand assumptions reflecting either guided or equilibrated conditions. Even in cases of evacuation ne...
Fixed daily trips such as trips to work/school have fixed departure/arrival times and destination points. The recurrent nature of fixed activities facilitates individuals on making more well-informed decisions about the transport mode selection. On the contrary, selecting a transportation mode for non-recurrent leisure trips, which can account for...
The lack of personalized solutions for managing the demand of joint leisure trips in cities in real time hinders the optimization of transportation system operations. Joint leisure activities can account for up to 60% of trips in cities and unlike fixed trips (i.e., trips to work where the arrival time and the trip destination are predefined), leis...
During and after a disaster, transportation network management is a complex task. In a state of limited serviceability and functionality, surviving transportation infrastructure is expected to act as a vital lifeline and to support different types of operations. This study investigates the joint planning of evacuation operations and emergency traff...
Over the past years we are witnessing an upsurge on the volume of travelers’ generated data. The upsurge of user-generated data from Smart Cards, Smart phones, personal navigators and social media has drawn the attention of the scientific community and new methods for utilizing such data in the areas of citizen-sensing, mobility understanding and t...
The accurate description of the fluctuations of the traffic flow dynamics has been recognized as a crucial element for monitoring and controlling the operational performance of road networks with uninterrupted (motorway/freeway) and/or interrupted (arterial) flow conditions. Nonetheless, analytical frameworks for modeling and predicting the higher...
The optimization of traffic signalization in urban areas is formulated as a problem of finding the cycle length, the green times and the offset of traffic signals that minimize an objective function of performance indices. Typical approaches to this optimization problem include the maximization of traffic throughput or the minimization of vehicles’...
Dense cities with complex transport infrastructure and numerous Places of Interest (POIs) pose challenges to interpersonal interactions since the location and the time of conducting a joint activity are rarely agreed unanimously from all agents, mainly due to lack of information of each agent’s schedule and activity preferences.
In this paper, a u...
In the current social, physical, economical and environmental circumstances of scarcity, the design and management of vital lifelines like transportation systems, especially within the metropolitan context, are subject to the implementation of multiple objectives in a unified framework. Thus, one of the most important issues is the identification o...
In the current social, physical, economical and environmental circumstances of scarcity, the design and management of vital lifelines like transportation systems, especially within the metropolitan context, are subject to the implementation of multiple objectives in a unified framework. Thus, one of the most important issues is the identification o...
Vital lifelines in the event of a disaster, transportation networks support evacuation activities, emergency logistics, and the restoration of daily activities. The rapid recovery of surviving transportation network operations immediately after a disaster is critical for the well-being of communities. The focus here is on planning highway operation...
Dynamic Traffic Assignment (DTA) models are widely used for online and offline applications for efficient deployment of traffic control strategies and the evaluation of traffic management schemes and policies. A valid statistical methodology is proposed for assessing the successful implementation of traffic control strategies with regard to their i...
Urban regeneration projects in modern metropolitan areas often incorporate major
changes in the structure and operations of a city’s transportation system. In this paper we
discuss traffic impacts of such a project, the pedestrianization of a major arterial, in the
Athens, Greece downtown area, by applying an ex-ante evaluation of the project on a...
In this paper an application for mobile navigation is introduced with the intention
to serve users who either do not have access to a private vehicle or prefer
combining a vehicle with a public transport mode provided that it yields a
reduction to their total travel time. This application guides users to their
destination by integrating the use of...
In the current social, physical, economical and environmental circumstances of scarcity, the design and management of vital lifelines like transportation systems, especially within the metropolitan context, are subject to the implementation of multiple objectives in a unified framework. Thus, one of the most important issues is the identification o...
Dynamic Traffic Assignment (DTA) models are widely used for online and offline applications for efficient deployment of traffic control strategies and the evaluation of traffic management schemes and policies. Stable and robust time dependent network states, which are represented by a DTA model, are of great importance for ensuring the existence of...
Over the past decades Dynamic Traffic Assignment models are increasingly used for online and offline applications of various urban environments for the successful and efficient deployment of traffic control strategies and the evaluation of traffic management schemes and policies. The stability of the dynamic network loading procedure is crucial for...
Over the recent years Dynamic Traffic Assignment (DTA) models are commonly used for the online and offline optimization of traffic control strategies in complex urban environments. The stability of the Dynamic Traffic Assignment is crucial for achieving the best possible representation of traffic phenomena in congested urban networks, where through...
This paper deals with the case of programming the development of future transportation systems by identifying inter-dependencies among competitors. Here, a market of maritime facilities is modelled as an n-person non-cooperative game among port authorities that promote the attractiveness of their terminal facilities, in terms of level of service pr...
Current advances in artificial intelligence are providing new opportunities for utilizing the enormous amount of data available in contemporary urban road surveillance systems. Several approaches, methodologies, and techniques have been presented for analyzing and forecasting traffic counts because such information has been identified as vital for...
Urban areas are facing an enormous pressure for mobility opportunities, a phenomenon closely related to economic activity and urban welfare growth. The development of urban transportation networks is a vital component in the performance of metropolitan complexes, where multiple policies can be employed and multiple objectives is urged to be met. In...
Reliable surveillance of urban networks coupled with techniques for information acquisition on traffic states provides the basis for the deployment of Advanced Transportation Management and Information Systems (ATMIS). Since information can be collected from various sources, a gamut of approaches for the fusion of available data has been utilized i...
The current paper deals with a special case of the Network Design Problem (NDP) that arises when multiple authorities are controlling certain parts of a network and in particular when these are engaged into a deliberative environment, forming a competitive market for transportation services. This alteration departs significantly from the classical...
This paper describes the application and relative performance of three different models for predicting traffic volatility in transportation networks. The Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model, the Stochastic Volatility (SV) model and the Realized Volatility (RV) model are implemented in a real urban arterial networ...
Emerging communication and information technologies increasingly enable users of transport systems to determine their own whereabouts and help support their trip scheduling and rescheduling decisions by providing timely information on traffic conditions. The authors investigate the linkages between behavioural attitudes of users towards risk and va...
Reliable surveillance of urban networks coupled with techniques for information acquisition on traffic states provide the basis for the deployment of Advanced Transportation Management and Information Systems (ATMIS). Since information can be collected from various sources, a gamut of approaches for the fusion of available data have been utilized i...
The current paper is focusing into the less well-defined transportation networks as those that are formed by the integration
(combination) of alternative transportation means for servicing freight movements and the special inter-dependencies that
are developed by this integration. Here the market of maritime facilities is modelled as an n-person no...
This paper addresses the joint optimization of capacity investments and toll charges imposed on multi-group users in monopolistic
private highways within general road networks. A game-theoretic formulation is provided that leads to a nonconvex bilevel
program. The proposed modeling framework handles several complex issues raised in realistic applic...
This paper addresses the problem of modeling and predicting urban traffic flow variability, which involves considerable implications for the deployment of dynamic transportation management systems. Traffic variability is described in terms of a volatility metric, i.e., the conditional variance of traffic flow level, as a latent stochastic (low-orde...
Environmental considerations are gaining importance in civil infrastructure design and management. In particular the transportation sector of urban civil infrastructure is regarded a major determinant of life quality and environmental sustainability. Its development and operation plans involve the employment of multiple policies, and demand multipl...
This paper describes the application and relative performance of three different models for predicting traffic volatility in transportation networks. The Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model, the Stochastic Volatility (SV) model and the Realized Volatility (RV) model are implemented in a real urban arterial networ...
This work is a report on research concerning transit service characteristics as seen from the users’ point of view. Users of two separate bus lines, operating in a shared/common urban infrastructure, were interviewed at bus stops about their perception concerning headways of bus lines operation. An analysis was made regarding deviations between act...
This article addresses the problem of the accuracy of short-term traffic flow forecasting in the complex case of urban signalized arterial networks. A new, artificial intelligence (AI)-based approach is suggested for improving the accuracy of traffic predictions through suitably combining the forecasts derived from a set of individual predictors. T...
This paper presents an adaptive hybrid fuzzy rule-based system (FRBS) approach for the modeling and short-term forecasting of traffic flow in urban arterial networks. Such an approach possesses the advantage of suitably addressing data imprecision and uncertainty, and it enables the incorporation of expert’s knowledge on local traffic conditions wi...
This chapter describes a combined genetic computation approach for estimating time-varying Origin-Destination (O-D) trip demand
matrices from traffic counts in urban networks. The estimation procedure combines a microscopic model simulating traffic flow
conditions with a genetic algorithm to synthesize the network O-D trip matrix, through determini...
This chapter examines the problem of the resource allocation in degradable road transport networks within a stochastic evolutionary
optimization framework. This framework expresses the stochastic equilibrium Network Design Problem (NDP) as a game-theoretic,
combinatorial bi-level program. Both the discrete and continuous versions of the reliable ND...
This paper investigates the problem of estimating dynamic origin-destination (O-D) trip matrices in large-scale transportation networks, using automatic link traffic counts and uncertain prior demand information, to facilitate the real-time monitoring of network traffic conditions through intelligent transportation systems. The paper proposes and e...
The development of modern information systems able to process real-time data concerning the traffic state network-wide is making possible the implementation of new forms of strategies concerning urban transportation networks management. The success of the implementation of such strategies is heavily depended on the detailed design of them. In the c...
This paper investigates the continuous version of the stochastic Network Design Problem (NDP) with reliability requirements. The problem is considered as a two-stage Stackelberg game with complete information and is formulated as a stochastic bi-level programming problem, which is extended to include reliability as well as physical and budget const...
This paper deals with the problems of optimal capacity and pricing decisions in private road networks. These problems are
described as a class of design and pricing Stackelberg games and formulated as nonconvex, bilevel nonlinear programs. Such
games capture interactions among the decisions of system designer/operator, government regulations and re...
This paper demonstrates a dynamic map, referred to as the Athens Dynamic Traffic Map (ADTM), with interactive features for the provision of travel information to the users of an extended, multimodal transport network in the metropolitan area of Athens, Greece. The map offers a state-of-the-art geospatial representation of the time-varying road Traf...
The development of modern information systems able to process real-time data concerning the traffic state network-wide is making possible the implementation of new forms of strategies concerning urban transportation networks management. The success of the implementation of such strategies is heavily depended on the detailed design of them. In the c...
This paper presents an evolutionary computing approach for the estimation of dynamic Origin-Destination (O-D) trip matrices
from automatic traffic counts in urban networks. A multi-objective, simultaneous optimization problem is formulated to obtain
a mutually consistent solution between the resulting O-D matrix and the path/link flow loading patte...
This paper examines the formulation and solution of the discrete version of the stochastic Network Design Problem (NDP) with
incorporated network travel time reliability requirements. The NDP is considered as a two-stage Stackelberg game with complete
information and is formulated as a combinatorial stochastic bi-level programming problem. The curr...
Reliability is recognized as an essential element f or the planning and design of contemporary transportation systems. This paper pro vides a discrete-time evolutionary game-theoretic model incorporating day-to-day adjustment (route choice) behavior of users under the potential influ ence of perturbations (degradation- inducing events) for assessin...
This paper presents a method for the automatic estimation of turning proportions at signalized urban intersections using partial link count information. The method integrates a microscopic model to simulate the network traffic conditions with a genetic algorithm to minimize the difference between estimated and observed movement flows. The implement...
Advanced traffic monitoring and control systems constitute the core of Intelligent Transport Systems deployed in metropolitan areas. This study presents a methodology to exploit large amounts of traffic flow data collected by such a system for analysing travel reliability in urban networks. Travel reliability is described here through the measures...
This paper describes the development and comparison through a real-life implementation of dynamic extensions of the entropy-based gravity model of trip distribution for dynamic transport planning purposes in urban networks. The single dynamic gravity model (SDGM) accounts only for the inter-period (long-term) evolution of travel demand. The doubly...
Planning a public transportation network for accommodating mega events is a complicated process where various parameters such as significantly increased demand for transportation and irregular mobility patterns must be considered. Before and during mega events, planners and operators have to decide, on a number of occasions, regarding the system's...
A methodology is presented for forecasting traffic volatility in urban arterial networks with real-time traffic flow information. This methodology provides a generalization of the standard modeling approach, in which both the mean, modeled by an autoregressive moving average process, and the variance, modeled by an autoregressive conditional hetero...
This paper presents a new approach for the spatiotemporal analysis of variation in traffic flow. Traffic detectors located in several arterial links of an extended urban network yield the time series of aggregate data used in the approach, which is based on the Principal Component Analysis (PCA) of these time series spanning several weeks. The anal...
This paper presents a short-term forecasting prototype, O-3-AFM (Ozone-Adaptive Fuzzy Model), of hourly urban ozone (O-3) concentrations at two spatial points of interest, when presented with inputs Of O-3 source emissions measured at one of the above points. The structure of the O-3-AFM, which combines characteristics from the Neural Networks and...
A methodology is presented for forecasting traffic volatility in urban arterial networks with real-time traffic flow information. This methodology provides a generalization of the standard modeling approach, in which both the mean, modeled by an autoregressive moving average process, and the variance, modeled by an autoregressive conditional hetero...
Traffic data are characterized by the occurrence of extreme events and frequent shifts to and from congestion. Current practice in traffic forecasting suppresses or disregards these features. But, indications suggest that these features may encompass useful information for modeling congested condition, as well as the transitions to and from congest...
This paper describes a methodology for validating online dynamic O–D matrix estimation models using loop detector data in large-scale transportation networks. The simulation procedure focuses on travel aspects related to the collective trip structure of users, including the amount and duration of trips between O–D pairs, trip departure rates, avera...
This paper presents a simulation-based quasidynamic network assignment (DNA) procedure that facilitates the representation of changes in route choice behavior of users traveling on extended urban networks. The procedure is based on the building of regularly updated transient demand matrices. Its potential to facilitate on-line traffic monitoring of...
Paratransit services can be useful for special events, especially when private vehicles are discouraged from approaching the event locations. During the Athens 2004 Olympics, such a shuttle service was planned to connect major Athens spots with athletic complexes. A mixed non-linear integer programming model is developed for jointly obtaining optim...
This paper addresses the problem of estimating the operational performance of extended urban transport networks under different conditions of traffic information availability. The suggested approach employs a simulation procedure for the real-time estimation of the network state, based on the dynamic assignment of an O-D matrix, which is adjusted b...
In the present article, the origin–destination (O–D) trip matrix estimation is formulated as a simultaneous optimization problem and is resolved by employing three different meta-heuristic optimization algorithms. These include a genetic algorithm (GA), a simulated annealing (SA) algorithm, and a hybrid algorithm (GASA) based on the combination of...
Determining the optimal location of a fleet of vehicles is necessary in a number of potential applications, such as special repair vehicles for buses on a large public transportation network. The Athens Urban Transport Authority operates a large bus fleet over an extensive network for 19 h a day and serves a population of approximately 4 million pe...
During the 2004 Summer Olympics, in Athens, Greece, transit passengers will be mainly accommodated by public transportation modes. The large number of passengers expected to be carried, combined with the congested road network and limited parking spaces, will make it difficult for private vehicles to be used during the games; as such, use of mass t...
The problem of updating dynamic origin-destination (O-D) matrices by exploiting a long-term time series of link traffic counts in large-scale transportation networks without the need for surveys or census data is investigated. Different time-recursive mechanisms for analysis of these data to enhance the performance of the models currently used to s...
Determining the optimal location of a fleet of vehicles is necessary in a number of potential applications, such as special repair vehicles for buses on a large public transportation network. The Athens Urban Transport Authority operates a large bus fleet over an extensive network for 19 It a day and serves a population of approximately 4 million p...
The significant cargo volumes transferred by sea, in combination with the increased technological and operational requirements
that international competition imposes, lead to the continuous upgrade of infrastructure and equipment of modern port terminals.
Within this framework, a number of new technologies for the transhipment of unitised cargo hav...
Urban traffic congestion is one of the most severe problems of everyday life in Metropolitan areas. In an effort to deal with this problem, intelligent transportation systems (ITS) technologies have concentrated in recent years on dealing with urban congestion. One of the most critical aspects of ITS success is the provision of accurate real-time i...
The efficiency and robustness of different real-time dynamic origin-destination (O-D) matrix adjustment algorithms were investigated when implemented in large-scale transportation networks. The proposed algorithms produce time-dependent O-D trip matrices based on the maximum-entropy trip departure times with simulated and actual observed link flows...
The efficiency and robustness of different real-time dynamic
origin–destination (O-D) matrix adjustment algorithms were investigated when implemented in large-scale transportation networks. The proposed algorithms produce time-dependent O-D trip matrices based on the maximum-entropy trip departure times with simulated and actual observed link flows...