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A Real-Time Traffic Diversion Model: A Conceptual Approach

A. G. Hobeika, +1 more
TLDR
A conceptual framework for executing real-time diversion of traffic during congestion-causing events, by making efficient use of the available capacities in the highway network, is presented in this paper.
Abstract
The development of a real-time traffic diversion control system for integrated freeway and arterial networks, as part of the most currently envisioned Intelligent Vehicle/Highway System (IVHS) is the topic of this paper. The objective of the traffic control system referred to as 'Smartnet' is to use real-time data to divert traffic from freeway to arterial networks so as to reduce congestion and improve drivers' travel time. The freeway network chosen for this work is the l-395 freeway corridor area in Northern Virginia, between the Capital Beltway and the District of Columbia. The arterials designated as alternative routes for diversion were primarily chosen to comply to network conditions and to conform with expected driver behavior in route selection. In addition, the route capacity, its associated ramps, and the normal flow volume were also considered in this selection process. The diversion strategies under this approach are based on the highway system performance. The aim is to optimize the system's performance as a whole.

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The impact of adverse weather conditions on the propensity to change travel decisions: A survey of Brussels commuters

TL;DR: In this article, the results of a comprehensive behavioral survey conducted in Brussels are reported, showing that more than 50% of the participants reported that adverse weather impacts on their mode, route and departure time changes.
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Understanding individual travel decisions: results from a commuters survey in Geneva

André de Palma, +1 more
- 01 Aug 1999 - 
TL;DR: In this article, the authors present the results of an extended traveler behavior survey conducted in Geneva (Switzerland) in March 1994, where commuters were asked about the impact of various factors, related to individual or household characteristics and situational, contextual and environmental constraints on their basic travel decisions.
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Fuzzy Power Heronian function based CoCoSo method for the advantage prioritization of autonomous vehicles in real-time traffic management

TL;DR: Novel extensions of the combined compromise solution (CoCoSo) methodology are proposed, including the logarithmic method and the Power Heronian function, to increase the efficiency of the road networks and verify the flexibility of the proposed methodology.
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System dynamics and feedback control problem formulations for real time dynamic traffic routing

TL;DR: A brief treatment of the three forms of the formulation of the Dynamic Traffic Routing problem are included to show possible ways to design the controllers.
Journal ArticleDOI

Solution to the user equilibrium dynamic traffic routing problem using feedback linearization

TL;DR: This dynamic traffic routing problem is formulated as a feedback control problem that determines the time-dependent split parameters at the diversion point for routing the incoming traffic flow onto the alternate routes in order to achieve a user-equilibrium traffic pattern.
References
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Journal ArticleDOI

Time Series Analysis Forecasting and Control

TL;DR: This revision of a classic, seminal, and authoritative book explores the building of stochastic models for time series and their use in important areas of application —forecasting, model specification, estimation, and checking, transfer function modeling of dynamic relationships, modeling the effects of intervention events, and process control.
Journal ArticleDOI

A Model and an Algorithm for the Dynamic Traffic Assignment Problems

TL;DR: A discrete time model is presented for dynamic traffice assignment with a single destination and can be solved for a global optimum using a one-pass simplex algorithm---branch-and-bound is not required.
Journal ArticleDOI

The most likely trip matrix estimated from traffic counts

TL;DR: Two models, based on information minimisation and entropy maximisation principles, have been developed by the authors to estimate an O-D matrix from traffic counts based on knowledge of the paths followed by the vehicles over the network.
Journal ArticleDOI

Dynamic network traffic assignment considered as a continuous time optimal control problem

TL;DR: It is established that a constraint qualification and convexity requirements for the Hamiltonian, which together ensure that the necessary conditions are also sufficient, are satisfied under commonly encountered regularity conditions.
Journal ArticleDOI

A new class of dynamic methods for the identification of origin-destination flows

TL;DR: Four different methods were developed: an ordinary least squares estimator involving cross-correlation matrices, a constrained optimization method, a simple recursive estimation formula and estimation by Kalman filtering, which are particularly useful for tracking time-variable O-D patterns for on-line identification and control purposes.
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