Veröffentlichungen von M.Sc. Ashkan Gholamhosseinian

Results: 8
Created on: Thu, 21 Sep 2023 23:42:37 +0200 in 0.0624 sec

Izadi, Adel; Gholamhosseinian, Ashkan; Seitz, Jochen
VANET-based traffic light management for an emergency vehicle. - In: Ubiquitous networking, (2023), S. 129-137

Wireless communications have affected our lifestyle in the last decades. It is helpful to improve quality of life for communities. Communications among vehicles usually take place in vehicular ad-hoc networks (VANETs). Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications are aspects of communications in the transportation which are growing rapidly. They can play a pivotal role in the transportation field. Management of traffic lights (TLs) is crucial to control traffic flow especially at an intersection. The goal of this paper is to manage the TLs at an intersection when an emergency vehicle (EV) is approaching. First, we simulate an intersection which includes TLs via simulation of urban mobility (SUMO). Later, we simulate VANETs communication to manage the TLs at the intersection when the EV is coming with the help of objective modular network testbed in C++ (OMNeT++) and vehicles in network simulation (Veins). Finally, the impact of V2I communication on delivery efficiency of the emergency service is investigated. Simulation results show an improvement in delivery efficiency of the emergency service.

Gholamhosseinian, Ashkan; Seitz, Jochen
Versatile safe autonomous intersection management protocol for heterogeneous connected vehicles. - In: IEEE Xplore digital library, ISSN 2473-2001, (2022), insges. 7 S.

In this paper, we employ a novel safe centralized intersection management (IM) scheme for heterogeneous classes of connected vehicles such as passenger vehicles (PVs), buses, vans, trucks, emergency vehicles (EVs), trams and also vulnerable road users (VRUs) including motorcycles, bicycles, and moped. A rule-based algorithm undertakes safe coordination using different criteria such as intersection traffic rules, vehicle types and road priorities. Besides, in the proposed system, dynamics and behavior of the road users, which might be totally distinct, are taken into account. These underlying characteristic behaviors comprise of reaction distance $(D_r)$, stopping distance $(D_s)$, braking distance $(D_b)$, braking lag distance $(D_bl)$ as well as deceleration (d) and velocity (v) of the vehicles in an urban environment. In addition, special lanes for cyclists and tram tracks are considered in the layout. Furthermore, in order to more properly image the realistic traffic situations, we have integrated the impact of various road conditions in our system in terms of dry, wet, snowy, and icy. Performance of the system is analyzed in several sparse and dense traffic situations with respect to different criteria such as speed and travel time. Additionally, efficiency is also compared to traditional intersection management systems like traffic lights (TLs).
Gholamhosseinian, Ashkan; Seitz, Jochen
Empirical estimation of ETSI ITS-G5 performance over an IPv6-based platform. - In: 2022 IEEE International Performance, Computing, and Communications Conference (IPCCC), (2022), S. 185-193

Intelligent transport systems (ITS) promise to leverage wireless communications among vehicles. Performance of wireless communication is of crucial importance and can severely impact safety, efficiency and infotainment of transport applications. In this paper, in order to promote the usage of IPv6 in vehicular networks, we deploy a wireless communication framework in a Linux environment based on the Internet protocol (IP). Further, we evaluate the behaviour of the ITS-G5 in various stationary and mobile scenarios to investigate the impact of environmental and radio factors on the performance of ITS-G5. Several measurements such as inter-reception time (IRT), packet loss, latency, end-to-end (E2E) latency, reception position error (RPE), and throughput are carried out to discover the limitations and strength of the technology in a real world test-bed.
Lak, Hadi Jalali; Gholamhosseinian, Ashkan; Seitz, Jochen
Distributed vehicular communication protocols for autonomous intersection management. - In: The 13th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 5th International Conference on Emerging Data and Industry 4.0 (EDI40), (2022), S. 150-157

Intersections are considered to be a vital part of urban transportation and drivers are prone to make more mistakes, when driving through the intersections. A high percentage of the total fatal car accidents leading to injuries are reported within intersections annually. On the other side, there usually is traffic congestion at intersections during busy times of day. Stopping the vehicles in one direction to let the vehicle pass in the other directions leads to this phenomenon and it has a huge effect on traffic delay, which causes great squander in natural and human resources as well as leading to weather pollution in metropolises. The goal of this paper is to design and simulate different spatio-temporal-based algorithms for autonomous connected vehicles to be able to cross the intersection safely and efficiently. Vehicles employ vehicle-to-vehicle (V2V) communication via dedicated short range communications (DSRC) [4, 1] to exchange their kinematic information with each other. The proposed algorithms are compared to each other as well as with traditional methods like traffic lights in terms of various performance metrics such as traffic congestion, speed and especially delay to find the optimal control approach for autonomous intersection management.
Gholamhosseinian, Ashkan; Seitz, Jochen
A comprehensive survey on cooperative intersection management for heterogeneous connected vehicles. - In: IEEE access, ISSN 2169-3536, Bd. 10 (2022), S. 7937-7972
Gholamhosseinian, Ashkan; Seitz, Jochen
Safety-centric vehicle classification using vehicular networks. - In: The 18th International Conference on Mobile Systems and Pervasive Computing (MobiSPC), the 16th International Conference on Future Networks and Communications (FNC), the 11th International Conference on Sustainable Energy Information Technology, (2021), S. 238-245

This paper investigates the vehicle classification (VC) based on vehicular ad-hoc networks (VANETs). Using VANETs, one can extract the physical and mobility characteristics of the vehicles globally and in a real-time manner. In this paper, we propose an in-depth novel safety-driven VC method for heterogeneous connected vehicles. In this innovative approach, road vehicles are classified into a broad range of classes according to their distinctive behaviors and safety measures. The proposed method can play a vital role in reducing collisions and can be used as a safety standard reference in VANETs-based VC systems. Furthermore, advance driver assistance systems (ADAS) can integrate this method and extend road safety by notifying vehicles of dangerous situations on the road using V2X communication.
Izadi, Adel; Gholamhosseinian, Ashkan; Seitz, Jochen
Modeling and evaluation of the impact of motorcycles mobility on vehicular traffic. - In: Journal of Transportation Technologies, ISSN 2160-0481, Bd. 11 (2021), 3, S. 426-435

Traffic simulation can help to evaluate the impact of different mobility behaviors on the traffic flow from safety, efficiency, and environmental views. The objective of this paper is to extend the SUMO (Simulation of Urban Mobility) road traffic simulator to model and evaluate the impact of motorcycles mobility on vehicular traffic. First, we go through diverse mobility aspects and models for motorcycles in SUMO. Later, we opt for the most suitable mobility models of motorcycles. Finally, the impact of motorcycle mobility on different kinds of vehicles is investigated in terms of environment, fuel consumption, velocity and travel time. The result of modeling and evaluation shows that based on the mobility model of the motorcycle, vehicular traffic flow can be enhanced or deteriorated.
Gholamhosseinian, Ashkan; Seitz, Jochen
Vehicle classification in intelligent transport systems: an overview, methods and software perspective. - In: IEEE open journal of intelligent transportation systems, ISSN 2687-7813, Bd. 2 (2021), S. 173-194