Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 17 of 17 for “"Traffic incidents"”.
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Modelling traffic incidents to support dynamic bus fleets management for sustainable transport
… by detecting the fundamental role of bus and traffic incidents in bus-based public transport, a microscopic simulation model capable of modelling the impact of the individual incidents? characteristics on bus operations has been developed and applied to a variety of scenarios.<br/><br/>This …
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Cooperative Perception for Connected Vehicles
… promise a future with safer roads and reduced traffic incidents and fatalities. This future hinges on the car's accurate understanding of its surrounding environment; however, the reliability of the algorithms that form this perception is not always guaranteed and adverse traffic and …
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Mantis: A Predictive Driving Directions Recommendation System
… Maps REST service to obtain a set of routes. Traffic data from the California Department of Transportation’s Performance Measurement System (PeMS) is then used to estimate travel times for these routes. In addition to simple travel time estimation based on instantaneous traffic conditions, …
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Advanced AI techniques for comprehensive traffic incident analysis: enhancing incident duration prediction and accident risk forecasting
… of global urbanization and growth of vehicular traffic have led to an increase in traffic incidents, increasing demand for efficient modeling and prediction methodologies essential for traffic management. To meet this challenge, the thesis proposes the application of advanced machine learning …
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Identifying Secondary Crashes by Using Geographic Information System (GIS) and Determining the Secondary Crashes Characteristics
… nation’s transportation infrastructure expands, traffic incidents led to more than 25% of traffic congestion in the United States (FHWA, 2014). The risk of the occurrence of secondary crashes can be six times higher in the presence of a primary crash than that at a normal traffic condition (Yang …
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Wireless Networking for Vehicle to Infrastructure Communication and Automatic Incident Detection
… road safety. These advances in technology enable traffic systems to use data collected from vehicles on the road to detect incidents. We develop an automatic incident detection method that has a significant active road safety application for alerting drivers about incidents and congestion. Our …
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On the effect and value of information in Bayesian routing games
… in the commuters' access to information about traffic incidents. The model divides the population of commuters into two sub-populations or types based on their information about incidents. Types-H and L have high and low information about incidents, respectively. Each population routes its …
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Traffic-Based Framework for Measuring the Resilience of Ground Transportation Systems under Normal and Extreme Conditions
… research addresses this problem by developing a traffic-based framework for measuring the resilience of ground transportation systems under normal and extreme conditions. The research methodology consisted of: (1) creating a microscopic traffic model of the road under study, (2) simulating …
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A Framework for Incident Detection and notification in Vehicular Ad-Hoc Networks
… of all congestion events are caused by highway incidents rather than by rush-hour traffic in big cities. The US-DOT also notes that in a single year, congested highways due to traffic incidents cost over $75 billion in lost worker productivity and over 8.4 billion gallons of fuel. Further, the …
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Examination Of Factors Affecting The Frequency, Response Time, And Clearance Time Of Incidents On Freeways
<p>Traffic incidents are the primary cause of non-recurrent congestion in urban areas, resulting in reductions in roadway capacity and significant safety hazards to other motorists, as well as first responders. Many communities have initiated incident management programs that detect and respond to …
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A Framework for Developing and Integrating Effective Routing Strategies Within the Emergency Decision Support System
… with great detail. These details from the traffic simulation model can be used for devising strategies for evacuation and emergency response in case of a disaster.</p> <p>This thesis describes the modeling, calibration, and validation of the VISSIM traffic simulation model coded for …
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Network-aware Multi-agent Reinforcement Learning for Adaptive Navigation of Vehicles in a Dynamic Road Network
Traffic congestion in urban road networks is a condition characterized by slower speeds, longer trip times, increased air pollution, and driver frustration. Traffic congestion can be attributed to a volume of traffic that generates demand for space greater than the available street capacity. A …
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A Discrete Optimization Approach to Solve a Reader Location Problem for Estimating Travel Times
Traffic incidents routinely impact the flow of vehicles on roadways. These incidents need to be identified, and responded to in a timely fashion in order to keep traffic moving safely and efficiently. One of the main areas of transportation research that remains of contemporary interest is the …
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Bi-objective multi-assignment capacitated location-allocation problem
… in most cases at minimizing a cost function. Traffic incidents routinely impact the performance and the safety of the supply. These incidents can not be totally avoided and must be regarded. A way to consider these incidents is to design a network on which multiple assignments are performed. …
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DEVELOPMENT OF A TRAFFIC INCIDENT MANAGEMENT SYSTEM FOR CONTENDING WITH NON-RECURRENT HIGHWAY CONGESTION
Traffic incidents, including disabled vehicles, fire, road debris, constructions, police activities, and vehicle crashes, have long been recognized as the main contributor of congestion in highway networks and the related adverse environmental impacts. Unlike recurrent congestion, non-recurrent …
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Optimization of path based sensor spacing on a freeway segment for travel time prediction during incidents
… and a key source of it is non-recurring incidents. Accurate vehicle travel time predictions are needed during these incidents in order for roadway users to make informed trip decisions. Path based sensors are becoming a leading technology in gathering real-time travel time data. The data …
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Toward Robust and Generalizable Spatiotemporal Modeling for Tasks beyond Forecasting and Classification
… In diverse operational domains such as traffic systems, neurophysiological monitoring, and drilling operations, spatiotemporal data is often noisy, irregular, and subject to distribution shifts — exposing the brittleness of conventional forecasting and classification pipelines. This …