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Data dissemination in vehicular ad hoc networks (VANETs) has recently received considerable attention. Due to the unique characteristics of VANET, the implementation of reliable data dissemination among vehicles has encountered many challenges. In this paper, a reliable and efficient data dissemination scheme is presented. Relative locations between neighbor vehicles are predicted to improve delivery...
Routing protocols design is an important and essential issue for Vehicular Ad Hoc Networks. In this paper, a more realistic simulation environment is developed based on VanetMobiSim and OPNET, and the performance of several classical routing protocols such as Optimized Link State Routing (OLSR), Geographic Routing Protocol (GRP), Ad hoc On Demand Distance Vector Routing (AODV) and Dynamic Source Routing...
Mobility of terminals would bring changes of network topology. In dense VANET multi-hop communication with nodes of high speed, a problem how to choose a next hop relay rapidly made a significant sense. In this paper, a slot assignment for voice access named Black-burst scheme based TDMA was proposed for channel access contention. The problem of relay selection could be solved as a method of voice...
Now the mainly research on the protocol of mobile vehicle network is based on connected networks. But this method has its limitations. The majority nodes in this network have the constraint that they have sufficient density and moderate mobility. In fact, the nodes in highway environment have very high speed and the network topology changes very quickly. This makes the link between nodes instability...
In order to study the influence of different vehicles to incident delay, traffic simulation is applied to make the delay predictions. Three major parts, respectively the establishment of simulation platform and parameter calibration, survey and calculation of traffic data, and case study, are described in the paper. For the establishment of simulation platform and parameter calibration, at first,...
Mixed traffic denotes the coexistence of two driving styles: human and automated driving. Until now, there has been an ambiguity about the driver's safety in mixed traffic. Traffic safety studies focus on a synthesis of control laws which help drivers to avoid or mitigate collisions. Classic safety descriptors use only the time to collision, a time criterion for safety assessment. Other assess traffic...
The paper develops a heuristic optimization algorithm for automated vehicles (equipped with cooperative adaptive cruise control CACC systems) at uncontrolled intersections using a game theory framework. The proposed system models the automated vehicles as reactive agents interacting and collaborating with the intersection controller (manager agent) to minimize the total delay. The system is evaluated...
Eco-Cooperative Adaptive Cruise Control (ECACC) systems are a type of Cooperative Adaptive Cruise Control (CACC) that compute the most fuel-efficient (or near-fuel efficient) vehicle trajectory using available information regarding roadway characteristics, set-speed, upcoming signal changes and interaction with other vehicles. ECACC leverages information transfer between vehicles and infrastructure...
In many Intelligent Transportation System (ITS) applications that crowd-source data from probe vehicles, a crucial step is to accurately map the GPS trajectories to the road network in real time. This process, known as map-matching, often needs to account for noise and sparseness of the data because (1) highly precise GPS traces are rarely available, and (2) dense trajectories are costly for live...
Recently several artificial intelligence labs have suggested the use of fully equipped vehicles with the capability of sensing the surrounding environment to enhance roadway safety. As a result, it is anticipated in the future that many vehicles will be autonomous and thus there is a need to optimize the movement of these vehicles. This paper presents a new tool for optimizing the movements of autonomous...
Autonomous vehicles have seen great advancements in recent years, and such vehicles are now closer than ever to being commercially available. The advent of driverless cars provides opportunities for optimizing traffic in ways not possible before. This paper introduces an open source multiagent microscopic traffic simulator called AORTA, which stands for Approximately Orchestrated Routing and Transportation...
In the past, we have proposed an intersection graph (IG)-based vehicular ad hoc network (VANET) architecture for efficient unicast communication in the city urban. Thus, the source vehicle can leverage the proposed IG and IG bypass routing protocols to greedily forward unicast packets to the destination vehicle via each intermediate intersection in the calculated least cost IG path. However, when...
Several reliable packet routing approaches have been studied to achieve a high reliable VANET by using the Car-to-car communications and Inter-Vehicle Communications. VANET suffers from high mobility, diverse road topologies, and wireless interference, and thus significantly degrades the connectivity of packet transmissions and network performance. The mathematical analysis can help the approach efficiency,...
Content access and downloading in vehicular environments is expected to heavily rely on the availability of roadside infrastructure. Although vehicle-to-vehicle communication is foreseen, data will mostly flow through roadside access points, or RSUs (RoadSide Units), which suffer from less connectivity problems. However, at least in the early stages of deployment, the RSU coverage will be spotty,...
In this paper the problem of delay tolerant message data transmission scheduling over Cognitive Radio (CR) enabled wireless networks is considered with special emphasis on high mobility users (vehicles). The proliferation of delay tolerant applications (social networking updates, emails, updates over the air to mention just a few) can drive efficient utilization of available spectrum by Secondary...
Advanced signal operations offer practitioners an opportunity to reduce delay at their intersections at minimal cost by using features already included in their signal control software. One advanced operations technique is phase reservice and its associated feature conditional reservice. This research examines the impact of applying these techniques to the left turn at Hall Blvd. on 99W in Tigard,...
Unlike conventional traffic signal control strategies, which assume that an intersection's geometric configuration is given as an exogenous input, dynamic lane grouping (DLG) strategies aim to further improve roadway capacity utilization under significant traffic demand variation. This is accomplished by dynamically adjusting the turning movement assignments for each lane. Previous numerical analyses...
The merging of main road and on-ramp traffic is known to lead to congestion under heavy traffic conditions. This is mainly due to the underutilization of the road infrastructure and the lack of efficiency in the way the in which the merging manoeuvre is performed by human drivers. We propose a merging algorithm based on our previous work on slot-based driving which employs cooperation between vehicles...
In spite of recent advances in Intelligent Transport, vehicular traffic dynamics are still hard to represent and analyze. Most of the previous work on traffic regards highways or single lanes where vehicles interact in one dimension. Models for multi-dimensional vehicle-to-vehicle interactions and models for urban intersections are quite complicated and hardly applicable on a large scale. Nonetheless,...
Traffic is composed of different vehicle classes, each characterized by the vehicle length, the value of time (VOT) and other class-specific properties. Multi-class traffic flow models aim to capture these class-specific differences. In this paper, a multi-class model is appended with a monetary cost framework accounting for the value of time of each vehicle class, thereby enabling the computation...
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