scholarly journals Measurement of Interconnecting Network for Roadside Unit Placement on Cellular Network to Support Intelligent Transportation System

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Okkie Puspitorini ◽  
Nuradi Siswandari ◽  
Haniah Mahmudah ◽  
Ari Wijayanti
Keyword(s):  
Cellular Network ◽  
Interconnection Network ◽  
Data Communication ◽  
Central Office ◽  
Ground Level ◽  
Intelligent Transportation ◽  
Traffic Density ◽  
Percentage Error ◽  
Sensor Position ◽  
Roadside Unit

The significant problems in metropolitan’s traffic are road congestion and safety  The Intelligent Transportation Systems (ITS) offer improvement for the problems using Roadside Unit placement along the road to detect and inform all matters relating to traffic condition. This research will be conducted measurement interconnection network that will be used by Roadside Unit (RSU) to communicate with the central office. RSU will transmit data type of vehicle and speed information to the central office server. Measurements carried out on the existing cellular network and find the right position for placement of RSU according network availability by considering the received signal power, pathloss and performance data delivery. Measurement locations in the main road metropolitan city of Surabaya by using sensors (counted mode) as the RSU. From the measurements taken showed that communication between infrastructures managed by using digital sensors falcon plus II with a percentage error of less than 3%. Communications between the RSU and the central office using GPRS / GSM network supported by the presence of a nearby BTS tower. The power level of BTS antenna greater than   wireless modem (SIM 900) sensitivity (-107 dbm), with pathloss exponent about 2.77. The ability of data transmission by wireless modem (SIM 900) reached 85.6 Kbps to 42.8 Kbps for downlink and uplink. The server side using the internet network 512 Mbps with a dynamic public IP features that support port forwarding that is useful for data communication. Best sensor position for mounting the sensor horizontally at a height of 40-120 cm from ground level to the maximum detection distance of 150 m for vertical mounting above the overpass. Best sensor position facing the one lane road with a height of 5-6 m from ground level, with the best angle measurement is 45˚-60˚ for vertical and horizontal mounting. Average speed of vehicles is 38.34 km / h with a volume of 4128 units of vehicles, mostly motorcycles and traffic density 135 units / km. Keywords— Roadside unit, I2I, ITS, cellular network

A Novel Approach for Data Communication and Safety Concern in VANET Using Cognitive Radio

2017 ◽  
Vol 7 (11) ◽  
pp. 174 ◽  
Author(s):  
Ishu Bansal ◽  
Rajnish Kansal
Keyword(s):  
Routing Protocols ◽  
Intelligent Transportation System ◽  
Safety Concern ◽  
Data Communication ◽  
Intelligent Transportation ◽  
Safety Message ◽  
Novel Approach ◽  
Transmission Of Information ◽  
Minimum Delay ◽  
Road Side Units

VANET is branch of networking that is used for communication in intelligent transportation system. In this process of VANET various nodes are interconnected to each other and road side units. R2R, V2V and V2R communication has been done in VANET. Due to variouscommunications under VANET routing protocols have overhead for computation of shortest path and transmission of information with minimum delay. Delay in the network cause minimum safety. In this paper an approach has been proposed that can be used for transmission of safety message over the network with minimum delay. On the basis of proposed approach safety message can be transmitted in shortest interval of time so that safety can be achieved in the network.

scholarly journals Traffic Density-Related Black Carbon Distribution: Impact of Wind in a Basin Town

2021 ◽  
Vol 18 (12) ◽  
pp. 6490
Author(s):  
Borut Jereb ◽  
Brigita Gajšek ◽  
Gregor Šipek ◽  
Špela Kovše ◽  
Matevz Obrecht
Keyword(s):  
Black Carbon ◽  
Carbon Concentration ◽  
Ground Level ◽  
Traffic Density ◽  
Carbon Distribution ◽  
Wind Speeds ◽  
Black Carbon Concentration ◽  
Low Wind Speeds ◽  
Temperature Inversions ◽  
Carbon Concentrations

Black carbon is one of the riskiest particle matter pollutants that is harmful to human health. Although it has been increasingly investigated, factors that depend on black carbon distribution and concentration are still insufficiently researched. Variables, such as traffic density, wind speeds, and ground levels can lead to substantial variations of black carbon concentrations and potential exposure, which is even riskier for people living in less-airy sites. Therefore, this paper “fills the gaps” by studying black carbon distribution variations, concentrations, and oscillations, with special emphasis on traffic density and road segments, at multiple locations, in a small city located in a basin, with frequent temperature inversions and infrequent low wind speeds. As wind speed has a significant impact on black carbon concentration trends, it is critical to present how low wind speeds influence black carbon dispersion in a basin city, and how black carbon is dependent on traffic density. Our results revealed that when the wind reached speeds of 1 ms−1, black carbon concentrations actually increased. In lengthy wind periods, when wind speeds reached 2 or 3 ms−1, black carbon concentrations decreased during rush hour and in the time of severe winter biomass burning. By observing the results, it could be concluded that black carbon persists longer in higher altitudes than near ground level. Black carbon concentration oscillations were also seen as more pronounced on main roads with higher traffic density. The more the traffic decreases and becomes steady, the more black carbon concentrations oscillate.

scholarly journals Design and Implementation of Wireless Sensor Cellular Network Based on Android Platform

2017 ◽  
Vol 13 (05) ◽  
pp. 56
Author(s):  
Yan Chen
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cellular Network ◽  
Data Communication ◽  
Wireless Sensor ◽  
Test Results ◽  
Design And Implementation ◽  
Gateway System ◽  
Android Platform ◽  
The Times

With the progress of the times, the network has grown into the people's work and life. The limitations of the traditional wireless sensor network (WSN) have become increasingly prominent, and it is obviously unable to meet the requirements of Internet access. Therefore, the 4G mobile Android system is used as a carrier, to design an application layer gateway system for realizing wireless communication between wireless sensor networks and heterogeneous cellular networks, so as to build wireless sensor cellular network. The design and implementation of the AP module, data receiving and forwarding module, network packet loss management and retransmission of the gateway systemis the focus, and then the implemented gateway system is tested. The test results show that the design of the Android platform wireless sensor network gateway system can connect the sensor network to the cellular network, so as to realize data communication, and to ensure that the data loss rate is less than 0.1%. Through testing, it is concluded that the system can meet the actual demand

scholarly journals A New Distributed and Scalable Network Protocol Targeting Intelligent Transportation Systems

2011 ◽  
Vol 2011 ◽  
pp. 1-7
Author(s):  
M. Meribout
Keyword(s):  
Intelligent Transportation Systems ◽  
Road Traffic ◽  
Response Times ◽  
Cluster Head ◽  
Data Communication ◽  
Intelligent Transportation ◽  
Traffic Monitoring ◽  
Transportation Systems ◽  
Traffic Information ◽  
Scalable Network

Vehicular networks are the major ingredients of the envisioned Intelligent Transportation Systems (ITS) concept. An important component of ITS which is currently attracting wider research focus is road traffic monitoring. The actual approaches for traffic road monitoring are characterized by longer response times and are also subject to higher processing requirements and possess high deployment costs. In this paper, we propose a completely distributed and scalable mechanism for wireless sensor network-based road traffic monitoring. The approach relies on the distributed and bidirectional exchange of traffic information between the vehicles traversing the routes and a miniature cluster head and takes into consideration both the security and reliability of data communication. In addition, the communication between nodes is collision-free since the underlined data link layer protocol relies on a heuristic time multiplexed-based protocol. The performance analysis shows that the proposed mechanism usually outperforms other algorithms for different traffic densities.

scholarly journals Comparison of lidar-derived PM<sub>10</sub> with regional modeling and ground-based observations in the frame of MEGAPOLI experiment

2011 ◽  
Vol 11 (20) ◽  
pp. 10705-10726 ◽  
Author(s):  
P. Royer ◽  
P. Chazette ◽  
K. Sartelet ◽  
Q. J. Zhang ◽  
M. Beekmann ◽  
...  
Keyword(s):  
Mixed Boundary ◽  
Ground Level ◽  
In Situ Measurements ◽  
Percentage Error ◽  
Atmospheric Conditions ◽  
Transport Models ◽  
Near Surface ◽  
Lidar Measurements ◽  
Surface Measurements

Abstract. An innovative approach using mobile lidar measurements was implemented to test the performances of chemistry-transport models in simulating mass concentrations (PM10) predicted by chemistry-transport models. A ground-based mobile lidar (GBML) was deployed around Paris onboard a van during the MEGAPOLI (Megacities: Emissions, urban, regional and Global Atmospheric POLlution and climate effects, and Integrated tools for assessment and mitigation) summer experiment in July 2009. The measurements performed with this Rayleigh-Mie lidar are converted into PM10 profiles using optical-to-mass relationships previously established from in situ measurements performed around Paris for urban and peri-urban aerosols. The method is described here and applied to the 10 measurements days (MD). MD of 1, 15, 16 and 26 July 2009, corresponding to different levels of pollution and atmospheric conditions, are analyzed here in more details. Lidar-derived PM10 are compared with results of simulations from POLYPHEMUS and CHIMERE chemistry-transport models (CTM) and with ground-based observations from the AIRPARIF network. GBML-derived and AIRPARIF in situ measurements have been found to be in good agreement with a mean Root Mean Square Error RMSE (and a Mean Absolute Percentage Error MAPE) of 7.2 μg m−3 (26.0%) and 8.8 μg m−3 (25.2%) with relationships assuming peri-urban and urban-type particles, respectively. The comparisons between CTMs and lidar at ~200 m height have shown that CTMs tend to underestimate wet PM10 concentrations as revealed by the mean wet PM10 observed during the 10 MD of 22.4, 20.0 and 17.5 μg m−3 for lidar with peri-urban relationship, and POLYPHEMUS and CHIMERE models, respectively. This leads to a RMSE (and a MAPE) of 6.4 μg m−3 (29.6%) and 6.4 μg m−3 (27.6%) when considering POLYPHEMUS and CHIMERE CTMs, respectively. Wet integrated PM10 computed (between the ground and 1 km above the ground level) from lidar, POLYPHEMUS and CHIMERE results have been compared and have shown similar results with a RMSE (and MAPE) of 6.3 mg m−2 (30.1%) and 5.2 mg m−2 (22.3%) with POLYPHEMUS and CHIMERE when comparing with lidar-derived PM10 with periurban relationship. The values are of the same order of magnitude than other comparisons realized in previous studies. The discrepancies observed between models and measured PM10 can be explained by difficulties to accurately model the background conditions, the positions and strengths of the plume, the vertical turbulent diffusion (as well as the limited vertical model resolutions) and chemical processes as the formation of secondary aerosols. The major advantage of using vertically resolved lidar observations in addition to surface concentrations is to overcome the problem of limited spatial representativity of surface measurements. Even for the case of a well-mixed boundary layer, vertical mixing is not complete, especially in the surface layer and near source regions. Also a bad estimation of the mixing layer height would introduce errors in simulated surface concentrations, which can be detected using lidar measurements. In addition, horizontal spatial representativity is larger for altitude integrated measurements than for surface measurements, because horizontal inhomogeneities occurring near surface sources are dampened.

scholarly journals 5G Vehicular Network for Smart Vehicles in Smart City: A Review

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Hamzah U. Mustakim
Keyword(s):  
Smart City ◽  
Intelligent Transportation System ◽  
Data Communication ◽  
Intelligent Transportation ◽  
Vehicular Network ◽  
Transportation System ◽  
Maximum Speed ◽  
Multimedia Services ◽  
Communication Services ◽  
Smart Vehicles

Smart vehicles is one of the innovation that can be used to increase the effectiveness of traffic in smart city as urban area and in the highway. In its development, smart vehicles not only require mobile communication services to ensure safety but also multimedia services for the passengers. These services must be integrated on intelligent transportation system. 5G vehicular network technology provides data communication services for intelligent transportation system via macrocells and smallcells to support smart vehicles which can drive at a maximum speed of 500Km/hour with multimedia services for passengers with data rates reaching the Gbps level. This paper will review 5G network architecture and emerging technologies that enabling vehicular network for smart vehicles in smart city.

scholarly journals Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Guang Chen ◽  
Hu Cao ◽  
Muhammad Aafaque ◽  
Jieneng Chen ◽  
Canbo Ye ◽  
...  
Keyword(s):  
Intelligent Transportation System ◽  
Dynamic Range ◽  
Data Communication ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Frame Rate ◽  
Vision Sensor ◽  
Event Stream ◽  
Detection And Tracking ◽  
Neuromorphic Vision

Neuromorphic vision sensor is a new passive sensing modality and a frameless sensor with a number of advantages over traditional cameras. Instead of wastefully sending entire images at fixed frame rate, neuromorphic vision sensor only transmits the local pixel-level changes caused by the movement in a scene at the time they occur. This results in advantageous characteristics, in terms of low energy consumption, high dynamic range, sparse event stream, and low response latency, which can be very useful in intelligent perception systems for modern intelligent transportation system (ITS) that requires efficient wireless data communication and low power embedded computing resources. In this paper, we propose the first neuromorphic vision based multivehicle detection and tracking system in ITS. The performance of the system is evaluated with a dataset recorded by a neuromorphic vision sensor mounted on a highway bridge. We performed a preliminary multivehicle tracking-by-clustering study using three classical clustering approaches and four tracking approaches. Our experiment results indicate that, by making full use of the low latency and sparse event stream, we could easily integrate an online tracking-by-clustering system running at a high frame rate, which far exceeds the real-time capabilities of traditional frame-based cameras. If the accuracy is prioritized, the tracking task can also be performed robustly at a relatively high rate with different combinations of algorithms. We also provide our dataset and evaluation approaches serving as the first neuromorphic benchmark in ITS and hopefully can motivate further research on neuromorphic vision sensors for ITS solutions.

Sign in / Sign up

Export Citation Format

Share Document