0000000000004036

AUTHOR

Theodoros Chondrogiannis

showing 4 related works from this author

Relative Reachability Analysis as a Tool for Urban Mobility Planning

2019

There is a plethora of user-oriented route planning applications and systems that enable the computation of the fastest journey between two locations using different transportation modes, e.g., car, public transport, walking, bicycle. While useful for individuals, they are of limited interest to a class of users that may be interested in a more global and comparative view of transportation systems in general. In this context, we adopt the view of an urban planner. Urban planners may be interested in queries such as "if a new transit stop was to be introduced in a given location, would that bring the travel time to a given point-of-interest (POI) or area-of-interest (AOI) by bus closer to th…

050210 logistics & transportationClass (computer programming)021103 operations researchOperations researchbusiness.industryComputer science05 social sciences0211 other engineering and technologiesContext (language use)02 engineering and technologyPlannerTraffic congestionUrban planningReachabilityPublic transport0502 economics and businessbusinesscomputerSpatial analysiscomputer.programming_languageProceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science
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Most Diverse Near-Shortest Paths

2021

Computing the shortest path in a road network is a fundamental problem that has attracted lots of attention. However, in many real-world scenarios, determining solely the shortest path is not enough as users want to have additional, alternative ways of reaching their destination. In this paper, we investigate a novel variant of alternative routing, termed the k-Most Diverse Near-Shortest Paths (kMDNSP). In contrast to previous work, kMDNSP aims at maximizing the diversity of the recommended paths, while bounding their length based on a user-defined constraint. Our theoretical analysis proves the NP-hardness of the problem at hand. To compute an exact solution to kMDNSP, we present an algori…

Mathematical optimizationHeuristic (computer science)Computer sciencemedia_common.quotation_subjectAlternative routing Route planning Path similarity Near-shortest paths Path diversificationConstraint (information theory)Iterated functionBounding overwatchShortest path problemScalabilityQuality (business)ddc:004Routing (electronic design automation)media_commonProceedings of the 29th International Conference on Advances in Geographic Information Systems
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Finding k -dissimilar paths with minimum collective length

2018

Shortest path computation is a fundamental problem in road networks. However, in many real-world scenarios, determining solely the shortest path is not enough. In this paper, we study the problem of finding k-Dissimilar Paths with Minimum Collective Length (kDPwML), which aims at computing a set of paths from a source s to a target t such that all paths are pairwise dissimilar by at least \theta and the sum of the path lengths is minimal. We introduce an exact algorithm for the kDPwML problem, which iterates over all possible s-t paths while employing two pruning techniques to reduce the prohibitively expensive computational cost. To achieve scalability, we also define the much smaller set …

FOS: Computer and information sciencesComputer scienceDatabases (cs.DB)0102 computer and information sciences02 engineering and technology01 natural sciencesSet (abstract data type)Exact algorithmComputer Science - Databases010201 computation theory & mathematicsIterated function020204 information systemsComputer Science - Data Structures and AlgorithmsShortest path problemScalabilityPath (graph theory)0202 electrical engineering electronic engineering information engineeringData Structures and Algorithms (cs.DS)Pairwise comparisonPruning (decision trees)AlgorithmProceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Simulation-based Evacuation Planning for Urban Areas

2021

Evacuation planning is a critical task in disaster management. Especially in situations such as natural disasters or terrorist attacks, large crowds need to move away from danger and reach designated safe zones. For this purpose, various approaches that efficiently compute evacuation plans in urban areas have been proposed. To evaluate the computed plans, previous works employ heuristics that can only roughly estimate the egress time of each plan. Intuitively, a much better approach is to estimate the egress time via simulation. However, designing a simulation model is usually a time-consuming task and, what is more, this model can only be used to evaluate evacuation plans for a specific ar…

CrowdsEmergency managementOperations researchComputer sciencebusiness.industrySimulation modelingTestbedPlan (drawing)businessNatural disasterHeuristicsTask (project management)Proceedings of the 29th International Conference on Advances in Geographic Information Systems
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