Academic literature on the topic 'Proposed managed lane routing decision'

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Journal articles on the topic "Proposed managed lane routing decision"

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Pandey, Venktesh, and Stephen D. Boyles. "Comparing Route Choice Models for Managed Lane Networks with Multiple Entrances and Exits." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 10 (2019): 381–93. http://dx.doi.org/10.1177/0361198119848706.

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Developing an appropriate route choice model for managed lanes with multiple entrances and exits is critical for the success of managed lane planning and operations. This research focuses on route choice models for managed lane networks with stochastic and time-varying tolls and travel times. In the model, a traveler receives real-time information about the tolls and travel times upon arrival at each diverge node and makes a dynamic lane choice decision that minimizes the total expected cost. The online route choice model is formulated as a Markov decision process and solved using a backward r
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Alqurashi, Raghda, and Tom Altman. "Hierarchical Agent-Based Modeling for Improved Traffic Routing." Applied Sciences 9, no. 20 (2019): 4376. http://dx.doi.org/10.3390/app9204376.

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Agent-based model (ABM) simulation is a bottom–up approach that can describe the phenomena generated from actions and interactions within a multiagent system. An ABM is an improvement over model simulations which only describe the global behavior of a system. Therefore, it is an appropriate technology to analyze emergent phenomena in social sciences and complex adaptive systems such as vehicular traffic and pedestrian crowds. In this paper, a hybrid agent-based modeling framework designed to automate decision-making processes during traffic congestion is proposed. The model provides drivers wi
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Aydın, Nevin. "A Genetic Algorithm on Inventory Routing Problem." EMAJ: Emerging Markets Journal 3, no. 3 (2014): 59–66. http://dx.doi.org/10.5195/emaj.2014.31.

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Inventory routing problem can be defined as forming the routes to serve to the retailers from the manufacturer, deciding on the quantity of the shipment to the retailers and deciding on the timing of the replenishments. The difference of inventory routing problems from vehicle routing problems is the consideration of the inventory positions of retailers and supplier, and making the decision accordingly. Inventory routing problems are complex in nature and they can be solved either theoretically or using a heuristics method. Metaheuristics is an emerging class of heuristics that can be applied
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Wei, Heng, Joe Lee, Qiang Li, and Connie J. Li. "Observation-Based Lane-Vehicle Assignment Hierarchy: Microscopic Simulation on Urban Street Network." Transportation Research Record: Journal of the Transportation Research Board 1710, no. 1 (2000): 96–103. http://dx.doi.org/10.3141/1710-11.

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A lane-assignment model in a vehicle-based microscopic simulation system describes a vehicle’s position during its journey on an urban street network. In other words, it is used to estimate an individual vehicle’s location, speed, routing plan, lane-choice plan, lane-changing plan, and car-following plan from its entrance to a street network until the end of the trip. From the authors’ observations and study of lanechoice and lane-changing behavior, it is concluded that a vehicle is assigned to a lane in a logical manner depending on the relationship between its route-planned motivation and tr
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Euchi, Jalel. "Optimising the routing of home health caregivers: can a hybrid ant colony metaheuristic provide a solution?" British Journal of Healthcare Management 26, no. 7 (2020): 192–96. http://dx.doi.org/10.12968/bjhc.2019.0096.

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Background/Aims Consolidation of a unified health system requires the development of strategies that respond to various existing health needs, thus accommodating new and chronic conditions. Home care is a viable alternative to hospital care to meet the needs of the elderly population as well as those with other conditions that could be managed at home, which leads to a greater demand for home health services. One issue this raises is routing (assigning routes and transport) caregivers, where the goal is to minimise the total cost. Methods A hybrid ant colony algorithm is proposed to solve the
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Raza, Asif, and Ming Zhong. "Lane-based short-term urban traffic parameters forecasting using multivariate artificial neural network and locally weighted regression models: A genetic approach." Canadian Journal of Civil Engineering 46, no. 5 (2019): 371–80. http://dx.doi.org/10.1139/cjce-2017-0644.

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Short-term prediction of traffic conditions on urban arterials has recently become increasingly important because of its vital role in the basic traffic management functions and trip decision-making processes. Such information is useful for optimal infrastructure operation, routing, and trip scheduling. However, forecasting models offering a high accuracy at a fine temporal resolution (e.g., 1 or 5 min) and, especially, lane-based are still rare and need special attention. Given the dynamic and stochastic nature of traffic, this study proposes a genetically optimized artificial neural network
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Lyons, Craig, Alexandra Crosby, and H. Morgan-Harris. "Going on a Field Trip: Critical Geographical Walking Tours and Tactical Media as Urban Praxis in Sydney, Australia." M/C Journal 21, no. 4 (2018). http://dx.doi.org/10.5204/mcj.1446.

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IntroductionThe walking tour is an enduring feature of cities. Fuelled by a desire to learn more about the hidden and unknown spaces of the city, the walking tour has moved beyond its historical role as tourist attraction to play a key role in the transformation of urban space through gentrification. Conversely, the walking tour has a counter-history as part of a critical urban praxis. This article reflects on historical examples, as well as our own experience of conducting Field Trip, a critical geographical walking tour through an industrial precinct in Marrickville, a suburb of Sydney that
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Dissertations / Theses on the topic "Proposed managed lane routing decision"

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Machumu, Kelvin S. "Enhancing the Existing Microscopic Simulation Modeling Practice for Express Lane Facilities." UNF Digital Commons, 2017. http://digitalcommons.unf.edu/etd/758.

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The implementation of managed lanes (MLs), also known as dynamically priced express lanes, to improve freeway traffic flow and personal throughput is on the rise. Congestion pricing is increasingly becoming a common strategy for congestion management, often requiring microscopic simulation during both planning and operational stages. VISSIM is a recognized microscopic simulation software used for analyzing the performance of managed lanes (MLs). This thesis addressed two important microscopic simulation issues that affect the evaluation results of MLs. One of the microscopic simulation issues
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