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In this paper, we present a congestion-aware route planning system. First we learn the congestion model based on real data from a fleet of taxis and loop detectors. Using the learned street-level congestion model, we develop a congestion-aware traffic planning system that operates in one of two modes: (1) to achieve the social optimum with respect to travel time over all the drivers in the system...
Inter-vehicle communication is aim to be a part of the Next Generation Internet where vehicles can communicated with the other vehicles or a base station in ad hoc manner to realize the Intelligent Transport System (ITS) which can increase road safety and provide traffic information etc. Several existed routing protocols were extensively studied for the inter-vehicle communication. In this paper,...
Efficient representation of traffic networks, including congestion states, plays an important role in the effectiveness of routing algorithms incorporating Intelligent Transportation Systems (ITS) data. We employ an emerging concept in analyzing complex networks called “community structure detection” to capture traffic network dynamics in the form of hierarchical community-based representations of...
A game-theoretic approach to dynamic routing is proposed in order to maximize the traffic throughput on a freeway network. While existing methods of informing drivers of the approximate travel times for the alternative routes do not in general yield the system optimum, we can achieve a better performance by introducing a leader-follower game with monetary incentives. In particular, a control strategy...
We consider the problem of designing real-time traffic routing systems in urban areas. Optimal dynamic routing for multiple passengers is known to be computationally hard due to its combinatorial nature. To overcome this difficulty, we propose a novel mechanism called User-Centric Dynamic Pricing (UCDP) based on recent advances in algorithmic mechanism design. The mechanism allows for congestion-free...
In this paper we present an Optimal Real Time Navigation System (ORTNS) implemented on an Android Smart Device capable of calculating the route to destination based on a permanent Internet connection and information flow obtained from SYTADIN, a traffic Information System. A multi-objective criterion is defined in order to offer the drivers different route to destination parameterization. The ORTNS...
This paper presents a systematic approach to adaptively realize the vehicle routing with the real-time traffic information during the whole time period of a day. It focuses on the route planning procedures for determining the optimal route based on analytical hierarchy process (AHP) and fuzzy logic theory. This approach can adaptively switch from pre-routing to real-time routing based on real-time...
We propose a distributed algorithm for controlling traffic signals. Our algorithm is adapted from backpressure routing, which has been mainly applied to communication and power networks. We formally prove that our algorithm ensures global optimality as it leads to maximum network throughput even though the controller is constructed and implemented in a completely distributed manner. Simulation results...
Evacuating large metropolitan areas during emergencies in an efficient manner is one of the critical concerns of most responsible agencies. Previous studies focused mainly on strategic evacuation plans or controls for passenger cars, giving inadequate attention to those pedestrians relying on transit systems or other modes. This study has developed a multimodal evacuation system for Baltimore city...
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