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High volumes of pedestrians, cyclists and other vulnerable road users (VRUs) have much higher casualty rates per mile; not surprising given their lack of protection from an accident. In order to alleviate the problem, sensing capabilities of smartphones can be used to detect, warn and safeguard these road users. In this research we propose an infrastructure-less fog-based architecture named PV-Alert...
Urban evacuation is of great significance in saving human lives when disasters strike major cities. Comparing with the large population to evacuate, the number of evacuation guiders is much smaller. Since the location of evacuation guiders can greatly influence the evacuation process, it is crucial to identify the most critical locations to assign guiders. The assignment optimization for evacuation...
Road markings are important information of transport systems for drivers or intelligent vehicle. Efficient road markings feature extraction is pre-requisite to road markings detection, recognition and visual localization. However, most of previous lane markings feature extractors are operating on conventional images, the feature extraction methods for omnidirectional images are rarely considered in...
In this study, spatial syntax analysis was applied to quantitatively investigate the spatial morphology evolution of the Xiamen port area. The map images of five periods including incubation, forming, expansion, steady and transformation periods were analyzed. The results showed that both global and local integration degrees decreased from incubation to steady periods. The integration core of the...
Accurate and reliable positioning of vehicles is a decisive factor for many Intelligent Transportation System (ITS) applications. Under the cooperative environment, the eco-driving at specific scenarios, like intersections, requires vehicle motion state information, which can be provided by Global Navigation Satellite System (GNSS) with an integrity monitoring capability. In order to provide effective...
Computing the fastest driving routes in the presence of varying traffic conditions is an essential problem in modern navigation systems. Most existing systems compute the fastest route based on the current traffic conditions, while ignoring the effects of potential dynamics at a future moment. To solve this problem, a time-varying hierarchical graph model is presented for structuring the urban road...
By analyzing the drivers' main consideration about how to choose a parking space, this paper is committed to path optimization of parking lot by modified Dijkstra algorithm. The main factors that impact drivers choosing optimal parking lot are driving distance, the number of vehicle moved along motorway, and the occupancy situations of free parking space. Finally, an example would be analyzed to verify...
In this paper we introduce the TorontoCity benchmark, which covers the full greater Toronto area (GTA) with 712.5km2 of land, 8439km of road and around 400, 000 buildings. Our benchmark provides different perspectives of the world captured from airplanes, drones and cars driving around the city. Manually labeling such a large scale dataset is infeasible. Instead, we propose to utilize different sources...
While natural beauty is often considered a subjective property of images, in this paper, we take an objective approach and provide methods for quantifying and predicting the scenicness of an image. Using a dataset containing hundreds of thousands of outdoor images captured throughout Great Britain with crowdsourced ratings of natural beauty, we propose an approach to predict scenicness which explicitly...
This paper explores the feasibility of using a low-cost embedded ARM-based system for real-time vehicle recognition and identification through image processing. The main features of the system include: vehicle detection, speed measurement, and vehicle identification by license plate number recognition, the information obtained is then send to a database on a server in a local network. An ODROID-U3...
In this paper, we propose a unified end-to-end trainable multi-task network that jointly handles lane and road marking detection and recognition that is guided by a vanishing point under adverse weather conditions. We tackle rainy and low illumination conditions, which have not been extensively studied until now due to clear challenges. For example, images taken under rainy days are subject to low...
Road transportation is one of the main source of carbon dioxide emissions, and it is imperative to estimate the carbon dioxide contribution of road transportation precisely, so that carbon dioxide emission-reduction measures can be designed and implemented appropriately. Microscopic emission models and GPS trajectories are widely used in estimating carbon dioxide emissions. Microscopic emission models...
Takes Macpherson suspension as the research object, the establishment of the two degree of freedom vibration model analysis of frequency response function. Using solid model, analyzed its structural strength under three typical conditions of uneven pavement, braking and steering. Using the quasi-static simulation module in ADAMS/Car, calculated the suspension different conditions stress as the load...
This paper proposes a location selection model of intelligent road light equipped with LED traffic-induced screen. It is important to select reasonable location for intelligent road light in the construction of smart city and Internet of things. In this model, many influence factors such as the rate of road traffic incidents, road traffic flow, the rate of valid information, the rate of access to...
Connected automated vehicles are now moving towards reality. With the help of advanced artificial intelligence and vehicle-to-vehicle/ vehicle-to-infrastructure communication, connected automated vehicles can keep higher speed with shorter headway, and drive with neighboring vehicles to formulate platoons. The application of connected automated vehicles will change the relationship of traffic flow...
Recent research on eco-driving has paid more attention on human driving behavior and vehicle performance, but neglects the impacts imposed by dynamic, discrete and distributive traffic, which may result in partial and limited eco-driving suggestions. This paper presents a multi-factor integration based eco-driving optimization method for vehicles with same driving characteristics. It constructs driving...
The four-wheel torque and the four-wheel corner are controlled independently in the four-wheel independent drive and steering electric vehicle with steer-by-wire system. The road feeling simulation is different from the traditional two-wheel steering vehicle. The paper is suitable for the four-wheel steering vehicle simulation control algorithm. The principle of road feeling simulation control is...
Vehicles have become a daily needs for all of us and it is normal that every family is having at least one vehicle at their home. This leads to the increased of accidents and vehicular ad hoc network (VANET) is an approach invented to tackle with this problem. In order to study the algorithm in VANET, a mobility simulator is needed for simulation. SUMO is proved to be a good simulation tool for VANET...
Traffic flow pattern appears to be random and makes it more challenging to model and analyse. This paper aims to present a traffic model based on NaSchr model, but with a revised rule for randomisation. User can trigger a manual braking on certain cars and its effect on traffic flow can be observed and analysed. The traffic cellular automata model with manual braking mode is applied to a single lane...
With the rapid development of intelligent transportation systems, modern society is at an unimaginable speed to produce massive data. How to make full use of valuable information in big data is particularly important. This paper summarizes the basic concepts of association rule mining and how to use the Apriori algorithm for correlation analysis in massive data. In addition, the Apriori algorithm...
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