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Intelligent transport systems provide a multitude of possibilities when it comes to increasing traffic safety on our roads. Many of the proactive traffic safety applications under development today demand timely and reliable treatment of deadline dependent data traffic. Unfortunately it is not possible to provide any timing guarantees when using the current IEEE 802.11p standard for wireless access...
The topic of traffic control for individual intersections has been studied for many years. A lot of work has been devoted to designing signal timing plans able to make things better under oversaturated situations. In this paper, we discuss how to discretize Gazis two-stage control strategy that had been introduced in [1] for a single oversaturated intersection. We give an optimal discrete timing plan...
Traffic congestion in Greater Toronto Area costs Canada 15 billion /year in the next few decades. Adaptive Traffic Signal Control(ATSC) is a promising technique to alleviate traffic congestion. For medium-large transportation networks, coordinated ATSC is becoming a challenging problem because the number of system states and actions grows exponentially...
Vision-based active safety and driver assistance systems, such as lane departure warning (LDW) system, have increasingly gained popularity in automotive applications due to their fairly good performance at relatively low cost. Lane detection is a very complicated and time-consuming process and the potential time delay resulting from current image capturing and image processing can potentially impact...
Under emergency situations, citizens are often forced to evacuate an inhabited area for their own safety. During this process, drivers' behavior becomes a very important factor determining vehicle movements in the affected area. In this research, the impact of driver aggressiveness on traffic flow properties related to evacuation, such as travel time to the safe zones, is modeled through microscopic...
With an increase in number of vehicles on road, applications and services offered by Intelligent Transportation System are growing in demand. However, there are still coverage and capacity limitation of wireless links that support such services. In this work, we address a new and novel concept that leverages 4G network for vehicle-to-infrastructure communications. Instead of considering on-board units...
To accommodate the dynamic characteristics in opportunistic networks, ``carry-and-forward'' technique is utilized. In this paradigm, the next hop forwarding relay node is usually decided by inferring future contact opportunities. A practical method is to predict future encounter time using nodes' contact history. But limited by prediction accuracy, this method has only an uncertain effect on improving...
physical parts of a system to interacting software components. In many cyber-physical systems considered nowadays, the system's parts form a network structure with concurrent entities and the need of seamless scaling and fault-tolerant information dissemination and decentralized methods. In this contribution we point out that swarm intelligence approaches may be well suited for CPS with networked...
Roundabouts have generally been considered to have lower emissions as compared to signal controlled and 4-way stop-control intersections since they improve traffic flow and average speed. However, roundabouts slow all vehicles to speed ranges where emissions are higher, while signals stop and delay only a portion of vehicles. Roundabouts have the potential to increase the amount of acceleration and...
The objective of this study is to analyze the effectiveness of speed measures to improve capacity at the roundabouts under near saturation level. Alaska Department of Transportation and Public Facilities introduced measures of using speed humps on multilane roundabout to slow down vehicular traffic entering the roundabout which might improve safety and capacity. Spot speed, vehicular volume and queued...
In this paper, we analyze the delay performance of three traffic signal control algorithms that can attain maximum system throughput, for a single four-way intersection. The first is a static (state-independent) fixed-time scheduling (FTS) policy which is followed in current practice. The second is a dynamic maximum weight (backlog) scheduling (MWS) policy that determines the traffic signal phase...
This paper presents two adaptive two-stage fuzzy controllers for traffic signals at isolated intersections. Firstly, a two-stage combination fuzzy controller is designed. For traffic status variables in two-stage controller leading to the inefficiency of traffic states weakening under low traffic flow, the controller introduces 0–1 combination and determines the combination of traffic status variables...
Evacuating large metropolitan areas during emergencies in an efficient manner is one of the critical concerns of most responsible agencies. Previous studies focused mainly on strategic evacuation plans or controls for passenger cars, giving inadequate attention to those pedestrians relying on transit systems or other modes. This study has developed a multimodal evacuation system for Baltimore city...
This paper proposes the performance comparison for optimal traffic signal controls based on the following two frameworks: M/M/1 and D/D/1 queueing models, and Q-learning approach. Firstly, using the M/M/1 and D/D/1 models, the optimal split derivation has been obtained to minimise the mean waiting time of an intersection. Additionally, the Q-learning framework has been proposed in conjunction with...
Road maps are important for several applications in vehicular networks. As a consequence, an updated map is essential for a proper behavior of such applications. In this paper, we focus on a map update application based on an infrastructure-to-vehicle communication with a high mobility. In order to understand the application's behavior, we analyze different performance criteria: System Goodput, Packet...
Vehicles move so fast that they always cause the handover delay problem in the Vehicular Ad Hoc Network (VANET). This problem will lower down the throughput of the network and make the mobile devices' connection to the Internet ineffectively. To solve this problem, we propose a handover mechanism based on Care-of Prefix Pool (CoPP) in VANET with Mobile Network (NEMO). The vehicle adopting our handover...
In Vehicular Grid Sensor Network (VGSN), because the operation of individual vehicles and mobile speed and direction, contact between them fragile and unstable. It has multicast links suddenly fail to overcome the problems, so that the message flows to each node, and increase the volume of traffic control. In this paper, we propose a fuzzy-based target tracking scheme that will re-route the link path...
Vehicular Ad-hoc Networks (VANET) offer promising solutions towards infrastructureless collaborative active safety of the road vehicles. Active safety related data dissemination in vehicle-to-vehicle (V2V) communication requires reliable and real-time transmission. Broadcasting and relaying safety messages to alert the surrounding vehicles about critical driving situations is considered to be timely...
As a fundamental network property, Inter-Contact Time (ICT) determines the critical performance metrics of a vehicular ad-hoc network (VANET). In this paper, we extract the contact information from the traces of Global Positioning System (GPS) from public and semi-public vehicles in a large modern city, including both buses and taxis. By exploring the spatial and temporal properties of the contact...
Multi-axle transportation vehicles usually adopt distributed electro-hydraulic proportional systems based on network to perform the complicated manipulation and control functions. Aiming to the adverse effects caused by network induced time delay, a networked sliding mode control strategy for leveling subsystem of multi-axle transportation vehicles is presented. The model of distributed leveling subsystem...
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