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Nobody likes sitting in a car which is in a traffic jam. If you are in a traffic jam, you think over the opportunities how you could escape from it as soon as possible. In this paper, an imaginary system is introduced which supports the car drivers of a city. The intelligent route planner system could show how you can more easily avoid the traffic jams of the city. Moreover, it provides other actual...
This paper has three major contributions. First, a vehicular ad-hoc network (VANET)-based A* (VBA*) route planning algorithm is proposed to calculate the route with the shortest travelling time or the least oil consumption, depending on two real-time traffic information sources. The first one is the recorded traffic information of the road segment that the vehicle has passed through. This traffic...
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...
Route planning is a core part of the traffic information system. Conventional route planning models rely heavily on an improved weighted shortest path algorithm, while this paper proposes a route planning methodology based on taxis' experienced travels. Taking advantage of the data from floating cars, the framework explores drivers' experience in route choices, extracts taxis' operating behaviors...
Lane change is one of the most principle driving behaviors on structure roads. It frequently happens in daily driving. A key issue in lane change technique is trajectory planning, where a set of trajectories describing possible vehicle motions are generated by applying a parametric function, and by uniformly sampling the end states in configuration space; the trajectories are then examined to find...
Nowadays transportation systems suffer from many adversities. One of the most notorious issues is the traffic congestion. The transportation of persons and goods experiment notable delays with the consequent waste of precious resources and the rise of pollution. Actual Intelligent Transportation systems (ITS) are intended to relief the broad spectrum of challenges that affect our modern traffic infrastructures...
Delays and traffic bottlenecks represent a significant economic loss and inconvenient issues in transportation of persons and goods. That is, transportation systems still have a wide spectrum of issues that need to be addressed. In this sense, Intelligent Transportation Systems (ITS) are expected to provide an efficient and modern way to deal with these issues. Nevertheless, underlying technologies...
Motorists' trip Origin-Destination (O-D) demand in a vehicular network is one of the critical components for transportation applications. Specially, for transportation planning, trip O-D demand information depicts the travel pattern of travelers in a given time period, whereas in traffic engineering practice, similar information is beneficial to effectively determine the optimal traffic control strategies...
This video highlights our system that enables a Micro Aerial Vehicle (MAV) to autonomously explore and map unstructured and unknown GPS-denied environments. While mapping and exploration solutions are now well-established for ground vehicles, air vehicles face unique challenges which have hindered the development of similar capabilities. Although there has been recent progress toward sensing, control,...
There are a lot of cases with vehicle parking methods. But, when we try to analyze the successful parking patterns, we will be known that all processing is accomplished within specific parking pattern. We collect and analyze various parking patterns, so suggest the parking planning algorithm that do mission safe and effectively, when Unmanned Ground Vehicle (UGV) starts parking mission.
This paper presents a set of new methods to improve the accuracy of link travel time estimates. For map matching, signal planning is considered besides normal factors such as distance, direction and the connectivity. For link travel time estimates, virtual floating car is used to assist extracting individual link section travel time. Finally, effectiveness of the method is undertaken by actual data...
The urban floating car data (FCD) collection system is usually constructed base on the taxi dispatch system, and the taxies are service as the floating car. Thus, the floating car data (FCD) collected from the system also include the operation information and status information of taxies. This paper proposed several floating car data based indexes and analysis models for taxi operation. Taking Beijing...
In this paper, a real-time vehicle management system was proposed to plan and schedule vehiclespsila optimum routings using real-time information in logistics or distribution services. Three technologies were adopted for monitoring real-time situation and providing visualized interface, including radio frequency identification, geographical information system, and global positioning system. A real-time...
Autonomous vehicles can significantly improve efficiency and safety in applications ranging from warfare to transportation. However, to supply those benefits they must be shown to operate effectively, safely, and reliably in a wide range of terrains and conditions. Most major successes with autonomous vehicles have been limited to somewhat structured environments. We are interested in autonomous vehicles...
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