scholarly journals The Effect of on-Street Parking on Vehicle Velocity and Level of Service at Cik Di Tiro Street Yogyakarta

2020 ◽  
Vol 4 (5) ◽  
pp. 99-102
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Level Of Service ◽  
Vehicle Speed ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
Vehicle Velocity ◽  
Road Segmentation

On-street Parking activities on the curb of streets can disrupt the traffic flow and cause traffic congestion. This study aimed to examine the effect of On-street Parking on vehicle velocity and Level of Service (LO). This research was conducted on Cik Di Tiro Street, around Panti Rapih Hospital, Yogyakarta. The analysis of road segmentation was guided by the Indonesian highway capacity manual (1997). The analysis results revealed that during weekdays, the vehicle velocity in the morning without any On-Street Parking was 29.45 kilometers per hour, while the level of service was at level C, meanwhile, in the afternoon, and in the evening, the vehicle velocity was 21,672 kilometers per hour with the parking accumulation as many as 1-2 light vehicles, 4-18 motorcycles, and the level of service was at level E. Meanwhile, in the weekend, the vehicle velocity in the morning without On-street Parking was 29.16 kilometers per hour, and the level of service was at level A. Meanwhile, in the afternoon and evening, the vehicle speed was 23.04 kilometers per hour, with the parking accumulation as many as 1-3 light vehicles, 1-14 motorycles, and the level of services were at Level D and C in the afternoon.

scholarly journals On-Street Parking and Traffic Flow Performance at Kapasan Shopping Area Surabaya

2020 ◽  
Vol 3 (1) ◽  
pp. 9
Author(s):  
Amrita Winaya
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Level Of Service ◽  
Highway Capacity ◽  
Demand And Supply ◽  
Highway Capacity Manual ◽  
The Road ◽  
Shopping Area ◽  
Trading Activities ◽  
On The Road

Traffic congestion is a problem that is often faced by Indonesian big cities. It is related to land use in an area that causes on-street parking. The main cause is the imbalance between demand and supply, namely the need for parking during rush hour exceeds the capacity of existing parking. Another consequence is the increasing of side barriers resulting in the delays on certain roads. Shopping area in Jl.Kapasan, Surabaya is one of the densely areas attracted most people of Surabaya to conduct trading activities and shopping for daily needs. The denstiy of this region will affect the performance of traffic flow and causing delays.The study aims to identify on-street parking in Jl.Kapasan shopping area, consequences arising from parking on the road, and determine the level of service or performance of roads around this shopping area. The analytical methods used are derived from Indonesian Highway Capacity Manual 1997. Based on calculation and analysis, the capacity of Jl.Kapasan without parking on the road was 1468 pcu/hour and with on-street parking was only 1276 pcu/hour.

Unsignalized Intersection Analysis: Effect of Overlapping Conflicting Traffic Flow on Minor Movement Potential Capacity

1997 ◽  
Vol 1572 (1) ◽  
pp. 86-98
Author(s):  
Christopher J. Fasching
Keyword(s):  
Traffic Flow ◽  
Level Of Service ◽  
Traffic Flows ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
Capacity Estimate ◽  
Potential Capacity ◽  
Count Distribution ◽  
Intersection Analysis ◽  
Poisson Count

A particular component of two-way stop unsignalized intersection analyses as presented in the 1994 Highway Capacity Manual (HCM) is described. Specifically, advantages to minor movement capacity are evaluated where traffic flows overlap in multiple lanes. From vehicular arrival data collected by the author, it was determined that the current HCM can significantly underestimate the true potential capacity of minor movements that face multiple lanes of free-flow conflicting traffic. A modification to the HCM procedure is introduced in which an “effective” conflicting flow is calculated on the basis of “blockage” caused by individual lanes of traffic, assuming a Poisson count distribution. In every case examined (24 total), a more accurate potential capacity estimate resulted relative to that determined by the HCM procedure. The modification also resulted in a more accurate level of service in 8 of the 24 cases.

scholarly journals Determination of Level of Service (LOS) on Different Roads in Kuching Area (A Case study)

2009 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Chen K.C. ◽  
Larry S.T.
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Qualitative Assessment ◽  
Level Of Service ◽  
Heavy Vehicles ◽  
Traffic Light ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
Lane Width ◽  
Traffic Composition

The concept of Level of Service (LOS) is originated from the Highway Capacity Manual (HCM). LOS is a qualitative assessment of the operational performance of a roadway facility based on quantitative performance measures. Many transportation infrastructure funding decisions are based on LOS analysis, and LOS designations are intended to represent user-perceived quality of service. This study has been carried out to determine the LOS on different roads. The profile of study area is in Kuching, Sarawak where five roads with different characteristics and posted speed of urban multilane with 80km/hr and 70km/hr, suburban two-lane two-way with 90 km/hr and 80km/hr had been selected for the studies. Substantial numbers of inputs are required for the LOS analysis and determination based on HCM procedures. These inputs are: a long list of traffic volume collected in different peak hours; traffic composition such as proportion of heavy vehicles in traffic; geometric characteristics such as number of lanes, lane width, shoulder width, and approach grades. Results of the study showed that LOS in the urban multilane is still in satisfactory range with LOS ranging from C to D except for most of the traffic congestion cases in urban multilane at the traffic light junctions and roundabouts. However, LOS in the suburban two-lane two-way is only satisfying in the range of LOS E; hence multilane should be introduced in such cases. Recommendations such as to provide various or multitude modes of transportation needs should be introduced in urban area. Furthermore, a suitable and efficient hierarchy in road system should be provided in suburban areas before turning into urban areas.

scholarly journals AFFINITY PROPAGATION CLUSTERING IN DEFINING LEVEL OF SERVICE CRITERIA OF URBAN STREETS

Transport ◽  
2014 ◽  
Vol 29 (4) ◽  
pp. 401-411 ◽  
Author(s):  
Prasanta Kumar Bhuyan ◽  
Smruti Sourava Mohapatra
Keyword(s):  
Traffic Flow ◽  
Heterogeneous Traffic ◽  
Level Of Service ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
Urban Streets ◽  
Urban Street ◽  
Indian Context ◽  
Validation Parameters ◽  
Street Segments

Defining Level Of Service (LOS) criteria is very important as this is the first step of LOS analysis but this is not well defined in Indian context. The analysis followed in India is basically adaptation of Highway Capacity Manual (HCM 2000) methodology which is more suitable for developed countries having homogenous traffic pattern. An attempt has been made in this study to define LOS criteria of urban streets for developing countries having heterogeneous traffic flow condition. Defining LOS is basically a classification problem and to solve it Affinity Propagation (AP), a very recently developed cluster algorithm is used. Inventory details and the required speed data are collected from five major street corridors of Greater Mumbai Region in India through the application of Trimble GeoXT Global Positioning System (GPS) receiver. Six validation parameters are used on Free Flow Speed (FFS) data to find the optimal number of clusters, which is required for the classification of street segments into number of classes. After that speed data collected during both peak and off-peak hours are averaged over street segments and clustered into six groups to get the speed ranges of different LOS categories. Using validation parameters, considering the physical and surrounding environmental characteristics it is found that street segments can be classified into four classes in Indian context as mentioned in Highway Capacity Manual 2000. However, the FFS range for urban street class IV (urban design category) is significantly lower because of varying road geometric characteristics. The speed ranges of LOS categories under urban street classes are proportionately lower to that values mentioned in HCM 2000 because of highly heterogeneous traffic flow on urban Indian roads. The travel speed data collection procedure using GPS is simple and accurate. In addition, AP clustering is highly efficient in terms of time saving and provides a very accurate solution to classification problems. Hence, both GPS and AP techniques can be applied in other countries to define the speed ranges of LOS categories considering the local conditions.

scholarly journals Traffic management of Udayana University Sudirman campus intersection using Vissim software

2019 ◽  
Vol 276 ◽  
pp. 03006
Author(s):  
Putu Alit Suthanaya ◽  
Ngurah Upadiana
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Signal Timing ◽  
Data Traffic ◽  
University Campus ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
Traffic Flow Management ◽  
The City

The city of Denpasar is the capital of Bali Province, as well as the centre of various activities including government offices, hospitals, schools/ universities, trade and services, as well as tourism. Traffic congestion in the city of Denpasar is increasing from year to year, especially at the point of the intersection node, such as at the signalised intersection of Udayana University Sudirman Campus. The high trip attraction to Udayana University Campus has exacerbated the congestion of the intersection. The purpose of this study was to examine an alternative to managing the traffic flow using the Vissim software. The required data included the intersection geometric data, traffic volume and signal timing. The calculation of the intersection’s performance was conducted based on the Indonesian Highway Capacity Manual (IHCM). The simulation of the traffic flow management was conducted with the help of the Vissim software. The results of the performance analysis of the intersection conduced using Vissim Software indicated that the application of Vissim software was valid. The traffic management proposed has reduced both queue length and delay time.

scholarly journals Simulasi Manajemen dan Rekayasa Lalulintas Untuk Meningkatkan Kinerja Simpang Tiga Tak Bersinyal Pada Jalan Jatiraya – Kahuripan Nirwana Kabupaten Sidoarjo (Management and Traffic Engineering Simulation to Improve The Unsignalised Intersection Performance on Jalan Jatiraya – Kahuripan Nirwana Kabupaten Sidoarjo)

2016 ◽  
Vol 1 (01) ◽  
pp. 32
Author(s):  
Kurnia Hadi Putra ◽  
Faisal Rosih Alfanan
Keyword(s):  
Traffic Engineering ◽  
Traffic Congestion ◽  
Degree Of Saturation ◽  
Primary Data ◽  
Level Of Service ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
Toll Road ◽  
Commercial Area ◽  
The One

AbstractUnsignalised 3-way intersection at Jati Raya – Kahuripan Nirvana streets is an area with high traffic congestion. It caused by the increasing of vehicle volume at rush hour. In addition, the surrounded area of the intersection is a commercial area with a dense population and the intersection is also the main access to the toll road. To deal with these conditions, management and traffic engineering need to be done. The method of field surveys is conducted to obtain primary data and the existing condition. All the traffic data is obtained from the number of vehicles passing through the intersection for four days (27-30 May 2016). Then, all the data is recapitulated and calculated using the formula of Indonesian Highway Capacity Manual 1997. As the result, it can be concluded that the 3-way intersection at Jati Raya – Kahuripan Nirvana has the degree of saturation (DS) 1.23. This value is far from the one suggested by MKJI 1997 for the unsignalized 3-way intersection, i.e. DS = 0.85. Therefore, management and traffic engineering are conducted to overcome these conditions. The fourth alternative shows the DS 0,51 with Level of Service C.Keywords: Unsignalised Intersection, Degree of Saturation, Management and Traffic Engineering AbstrakSimpang tiga tak bersinyal pada jalan Jati Raya – Kahuripan Nirwana merupakan daerah yang sering mengalami kemacetan. Hal ini disebabkan oleh pertumbuhan lalu lintas yang cukup tinggi, selain itu disekitar simpang merupakan daerah komersil, pemukiman penduduk dan akses menuju jalan tol. Dalam mengatasi permasalahan pada simpang digunakan manajemen dan rekayasa lalu lintas. Metode yang digunakan adalah metode survei lapangan untuk mendapatkan data primer dan kondisi eksisting. Data lalu lintas diperoleh dari jumlah kendaraan yang melintasi simpang selama empat hari (27-30 Mei 2016). Kemudian data tersebut diolah dengan perhitungan Manual Kapasitas Jalan Indonesia (MKJI) 1997. Dari hasil analisis data dapat disimpulkan bahwa simpang jalan Jati Raya – Kahuripan Nirwana memiliki nilai Derajat Kejenuhan (DS) = 1,23 dengan Level Of Service LOS (F) . Nilai itu jauh dari nilai yang disarankan oleh MKJI 1997 untuk simpang tak bersinyal yaitu DS = 0,85. Oleh karena itu dilakukan beberapa alternatif solusi manajemen dan rekayasa lalu lintas. Dalam mengatasi kemacetan diambil alternatif solusi yang menghasilkan derajat kejenuhan (DS) paling kecil dengan nilai = 0,51 dengan Level Of Service LOS (C) yang terjadi pada alternatif empat.Kata kunci: Simpang tak bersinyal, Derajat Kejenuhan, Manajemen rekayasa lalulintas

Prediction of Vehicular Traffic Flow using Levenberg-Marquardt Artificial Neural Network Model: Italy Road Transportation System

2022 ◽  
Vol 24 (2) ◽  
pp. E74-E86
Author(s):  
Isaac Oyeyemi Olayode ◽  
Alessandro Severino ◽  
Tiziana Campisi ◽  
Lagouge Kwanda Tartibu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Traffic Flow ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Autonomous Vehicles ◽  
Time Of Day ◽  
Vehicle Speed ◽  
Road Transportation ◽  
Artificial Neural

In the last decades, the Italian road transport system has been characterized by severe and consistent traffic congestion and in particular Rome is one of the Italian cities most affected by this problem. In this study, a LevenbergMarquardt (LM) artificial neural network heuristic model was used to predict the traffic flow of non-autonomous vehicles. Traffic datasets were collected using both inductive loop detectors and video cameras as acquisition systems and selecting some parameters including vehicle speed, time of day, traffic volume and number of vehicles. The model showed a training, test and regression value (R2) of 0.99892, 0.99615 and 0.99714 respectively. The results of this research add to the growing body of literature on traffic flow modelling and help urban planners and traffic managers in terms of the traffic control and the provision of convenient travel routes for pedestrians and motorists.

scholarly journals THE TRAFFIC VOLUME AND LEVEL OF SERVICE (LOS) OF UNIVERSITI PUTRA MALAYSIA (UPM) SERDANG CAMPUS MAIN ACCESS

2019 ◽  
Vol 17 ◽  
Author(s):  
Zakiah Ponrahono ◽  
Noorain Mohd Isa ◽  
Ahmad Zaharin Aris ◽  
Rosta Harun
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Noise Pollution ◽  
Traffic Volume ◽  
Level Of Service ◽  
Idle Mode ◽  
The Road ◽  
Road Capacity ◽  
Motorized Vehicles ◽  
University Setting

The inbound and outbound traffic flow characteristic of a campus is an important physical component of overall university setting. The traffic circulation generated may create indirect effects on the environment such as, disturbance to lecturetime when traffic congestion occurs during peak-hours, loss of natural environment and greenery, degradation of the visual environment by improper or illegal parking, air pollution from motorized vehicles either moving or in idle mode due to traffic congestion, noise pollution, energy consumption, land use arrangement and health effects on the community of Universiti Putra Malaysia (UPM) Serdang. A traffic volume and Level of Service (LOS) study is required to facilitate better accessibility and improves the road capacity within the campus area. The purpose of this paper is to highlight the traffic volume and Level of Service of the main access the UPM Serdang campus. A traffic survey was conducted over three (3) weekdays during an active semester to understand the traffic flow pattern. The findings on traffic flow during peak hours are highlighted. The conclusions of on-campus traffic flow patterns are also drawn.

Uncertainty in Operational Analysis of Two-Lane Highways

2002 ◽  
Vol 1802 (1) ◽  
pp. 105-114 ◽  
Author(s):  
R. Tapio Luttinen
Keyword(s):  
Input Data ◽  
Travel Speed ◽  
Level Of Service ◽  
Model Parameters ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
Operational Analysis ◽  
Percent Time ◽  
Different Types ◽  
Percent Time Spent Following

The Highway Capacity Manual (HCM) 2000 provides methods to estimate performance measures and the level of service for different types of traffic facilities. Because neither the input data nor the model parameters are totally accurate, there is an element of uncertainty in the results. An analytical method was used to estimate the uncertainty in the service measures of two-lane highways. The input data and the model parameters were considered as random variables. The propagation of error through the arithmetic operations in the HCM 2000 methodology was estimated. Finally, the uncertainty in the average travel speed and percent time spent following was analyzed, and four approaches were considered to deal with uncertainty in the level of service.

Comparison of Planning and Operational Analysis Procedures for Signalized Intersections from the Highway Capacity Manual

1996 ◽  
Vol 1555 (1) ◽  
pp. 59-64
Author(s):  
Mark R. Virkler ◽  
Shashi Gannavaram ◽  
Anand Ramabhadran
Keyword(s):  
Level Of Service ◽  
Signal Timing ◽  
Highway Capacity ◽  
Operational Procedure ◽  
Highway Capacity Manual ◽  
Operational Analysis ◽  
Planning Procedure ◽  
Adjustment Factors ◽  
Cycle Lengths ◽  
Traffic Signal Timing

The 1994 update of the Highway Capacity Manual (HCM) includes a planning procedure to estimate the capacity condition of a signalized intersection (Xcm). The planning method results can also be extended to a planning application of the more data-intensive HCM operational procedure to estimate intersection critical flow-to-capacity ratio (Xc) and level of service with only planning-level data. Both the planning procedure and the planning application of the operational procedure involve default adjustment factors and synthesized traffic signal timing (called the “default signal timing”). Data from 166 Missouri intersections were used to determine how well the planning approaches predict operational analysis results. In general, the default signal timings had shorter cycle lengths than the timing plans used at pretimed signals. The shorter cycle lengths led to slightly higher flow-to-capacity ratios, since a higher proportion of each cycle was devoted to lost time. The default signal timings also had more equal flow-to-capacity ratios within critical lane groups. The shorter cycle lengths and more equal flow-to-capacity ratios led to a predicted level of service that was the same or better than that calculated for actual conditions. For the subject intersections, locally calibrated default adjustment factors yielded better predictions of flow-to-capacity ratios and level of service than the HCM defaults. The planning value for Xcm was often less than the actual Xc for operational analysis of actual conditions. This was to be expected since Xcm is based on the maximum allowable cycle length. The HCM planning procedure is expected to receive wide use in a variety of planning and design applications. Calibration of appropriate local default values should improve the accuracy of the planning procedure results.

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