scholarly journals Citywide effects of high-occupancy vehicle restrictions: Evidence from “three-in-one” in Jakarta

Science ◽  
2017 ◽  
Vol 357 (6346) ◽  
pp. 89-93 ◽  
Author(s):  
Rema Hanna ◽  
Gabriel Kreindler ◽  
Benjamin A. Olken
Keyword(s):  
Traffic Congestion ◽  
Google Maps ◽  
Traffic Conditions ◽  
Morning Peak ◽  
Traffic Speed ◽  
The City ◽  
Evening Peak

Widespread use of single-occupancy cars often leads to traffic congestion. Using anonymized traffic speed data from Android phones collected through Google Maps, we investigated whether high-occupancy vehicle (HOV) policies can combat congestion. We studied Jakarta’s “three-in-one” policy, which required all private cars on two major roads to carry at least three passengers during peak hours. After the policy was abruptly abandoned in April 2016, delays rose from 2.1 to 3.1 minutes per kilometer (min/km) in the morning peak and from 2.8 to 5.3 min/km in the evening peak. The lifting of the policy led to worse traffic throughout the city, even on roads that had never been restricted or at times when restrictions had never been in place. In short, we find that HOV policies can greatly improve traffic conditions.

scholarly journals The Necessity for a Sustainable Transport System in Beirut: The Case Study of Corniche El Mazraa Arterial

2017 ◽  
Vol 2 (4) ◽  
pp. 10
Author(s):  
Najib Nicolas Gerges ◽  
Mazen Omran ◽  
Mohammad Saad
Keyword(s):  
Transport System ◽  
Traffic Congestion ◽  
Capital City ◽  
Mitigation Measures ◽  
Sustainable Transport ◽  
Traffic Condition ◽  
Public Transport System ◽  
Traffic Conditions ◽  
The City

Corniche El Mazraa Road, one of the major arterial of Beirut – the capital city of Lebanon – is characterized by severe traffic congestion spreading over extended peak periods during the day.  This is jeopardizing the transport system risking of halting the functionality of the city in addition to economic and environmental losses.  The authors examined a number of mitigation measures to improve the traffic condition along Corniche El Mazraa Road.  The only solution that could result in tangible improvements in the traffic conditions, in such an urban dense environment, is the introduction of a reliable public transport system.        

scholarly journals Aplikasi Peta Titik Rawan Banjir di Kota Palembang

2019 ◽  
Vol 6 (4) ◽  
pp. 450
Author(s):  
Nurul Adha Oktarini Saputri ◽  
R.M Nasrul Halim
Keyword(s):  
Communication Technology ◽  
Mobile Communication ◽  
Traffic Congestion ◽  
Flood Inundation ◽  
Point Location ◽  
Google Maps ◽  
The Public ◽  
The Government ◽  
Mobile Communication Technology ◽  
The City

<p class="Abstrak">Banjir merupakan masalah yang terjadi hampir diseluruh kota di Indonesia, tak terkecuali di kota Palembang. Masalah banjir di kota Palembang sudah menjadi masalah yang serius bagi pemerintah kota Palembang. Banjir di kota Palembang terjadi akibat banjir pasang musiman maupun banjir genangan akibat hujan yang sering terjadi di jalanan. Banjir yang terjadi di jalanan, dapat menyebabkan kerusakan terutama kendaraan baik roda dua maupun roda empat. Selain itu banjir juga dapat menyebabkan kemacetan lalu lintas karena kendaraan harus memperlambat kendaraannya agar tidak merusak kendaraan serta tidak menggangu pengendara lain yang melintas. Permasalahan utama dalam penelitian ini adalah tidak adanya aplikasi untuk mengetahui daerah atau jalan mana saja yang berpotensi terjadinya banjir khususnya di kota Palembang. Oleh sebab itu dibutuhkanlah suatu aplikasi dengan memanfaatkan teknologi komunikasi <em>mobile</em> yang dapat memberikan informasi kepada masyarakat, terutama pengguna kendaraan yang sedang berada di jalan agar dapat terhidar dari bencana banjir. Dengan memanfaatkan layanan titik lokasi menggunakan <em>Google Maps</em> dan API, penulis akan membangun sebuah aplikasi berbasis android, yang bertujuan agar dapat memberikan informasi pengguna kendaraan tentang lokasi titik rawan banjir saat terjadi hujan maupun banjir musiman di jalan-jalan kota Palembang, sehingga dapat membantu pengendara menghidari kerusakan kendaraan akibat banjir serta dapat membantu mengurangi kemacetan pada saat terjadinya banjir agar dapat menghemat waktu perjalanan.</p><p class="Abstrak"> </p><p><strong><em>Abstract</em></strong></p><p><em>Flooding is a problem that happens almost throughout the city in Indonesia, no exception in Palembang city. The problem of flooding in the Palembang city has become a serious problem for the Government. Flooding in Palembang occur due to tidal flooding or flood inundation due to seasonal rains that often occur in the streets. The flooding that occurred on the streets, can cause damage especially two-wheel vehicles or four wheel. In addition to flooding can also cause traffic congestion because the vehicles had to slow down their vehicles so as not to damage the vehicle and does not interfere with other riders crossing. The main problem in this research is the lack of application to know which road areas or potential occurrence of flooding especially in Palembang. Therefore it needs an application by making use of mobile communication technology that can provide information to the public, especially users vehicles that are on the way so it can be terhidar from the flood. By utilizing the service point location using Google Maps and API, the author will build an android-based applications, the aim is to be able to provide information about the location of the point of vehicle users prone to flooding in the event of rain or flood seasonal in the streets of the city of Palembang, so you can help motorists avoid vehicle damage due to flooding and can help reduce congestion at the time of the occurrence of flooding in order to save on travel time.</em></p><p class="Judul2"> </p>

scholarly journals ANALISIS SATUAN RODA DUA (SRD) DI SIMPANG BERSINYAL JAMBO TAPE

2020 ◽  
Vol 3 (4) ◽  
pp. 245-256
Author(s):  
Rosa Sajida ◽  
Sugiarto Sugiarto ◽  
Yusria Darma
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
High Mobility ◽  
Small Towns ◽  
Heavy Vehicle ◽  
Lane Changing ◽  
Traffic Conditions ◽  
Saturation Flow ◽  
The City ◽  
Wheeled Vehicles

Many cities in Indonesia both small towns and big cities, the transportation system is dominated by motorcycle. The ownership of motorbikes has increased significantly in many cities due to their high mobility and affordable prices. The Increasing motorcycle users will make a major contribution to the traffic congestion on the highway; this makes motorbikes dominate traffic in the city. From previous studies the composition of vehicles in the Jambo Tape intersection was seen from traffic conditions consisting mostly of 70% motorcycle (MC), the larger the size of the vehicle, the more larger the proportion of a vehicle in a traffic flow The dominance of motorbikes in saturation flow at intersections it make motorbikes are considered as the basic vehicle for traffic flow. In Banda Aceh, especially in the Jambo Tape signal intersection, there is a mixed traffic flow which is dominated by two-wheeled vehicles. Then the movement of the traffic flow is not moving in one line (indiscipline lane), even the driver often makes lane changing or overtaking. The purpose of this study is to determine the equivalent value of two-wheeled vehicle at Jambo Tape signal intersection, also comparing the result of field observation analysis with EMP values, the saturate flow in previous research, and MKJI 1997. The research method used in this study is multiple linear regressions. The result obtained from this study is the new EMP value, for motorcycle (MC) 0,17; heavy vehicle (HV) 2,08 and rickshaw (RS) 1,3 and for the ERD value is light vehicle (LV) 5,97, heavy vehicle (HV) 12,41 and for the rickshaw (RS) 7,77. Furthermore, for the analysis the currents of saturated flow, two models were obtained, for the first model by not using constants is S0 = 488 We and for the second model that using constants is S0 = 1029 + 347 We

scholarly journals FINDING THE TRAFFIC LOCATION NAME IN GOOGLE MAP

2017 ◽  
Vol 5 (6) ◽  
pp. 78-81
Author(s):  
Deepa Shree C ◽  
Nishchitha R Kasyap ◽  
Manjunathc
Keyword(s):  
Traffic Congestion ◽  
Alternative Route ◽  
Google Maps ◽  
Traffic Jam ◽  
Long Period ◽  
Major Route ◽  
User Friendly ◽  
The City

Aim of the project is to reduce the traffic congestion at a particular location in peak hours with the help of Google maps. Google maps, one of the widely used user-friendly app which helps an individual to give an alert of traffic congestion in that particular location in which she is actually going. As a result of this, Google maps will suggest an individual to take an alternative route, as the major route is highly affected by traffic jam. This alternative route suggested by Google maps is a faster route without traffic and help to reach an individual to her destination on time without much delay. For an individual, from different places doesn’t have any clue about the city and at which   locations do traffic exists and continue to persist over a long period of time.

Impact of the urban construction solutions on the safety population

2020 ◽  
Vol 17 (2) ◽  
pp. 66-73
Author(s):  
R. D. Oktyabrskiy
Keyword(s):  
Traffic Congestion ◽  
Urban Population ◽  
Road Network ◽  
Residential Development ◽  
Emergency Situations ◽  
Urban Construction ◽  
Safety Population ◽  
Peace And War ◽  
The City

The article is devoted to the justification of the need to reduce the population density in the residential development of cities. The analysis of vulnerability of the urban population from threats of emergency situations of peace and war time, and also an assessment of provision of the city by a road network is given. Proposals have been formulated to reduce the vulnerability of the urban population in the long term and to eliminate traffic congestion and congestion — jams.

Smart Driving System for Improving Traffic Flow

2017 ◽  
Vol 7 (7) ◽  
pp. 236
Author(s):  
Rajesh Kumar Gupta ◽  
L. N. Padhy ◽  
Sanjay Kumar Padhi
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Adaptive Cruise Control ◽  
Human Perception ◽  
Cruise Control ◽  
Driving System ◽  
V2v Communication ◽  
Traffic Conditions ◽  
Cooperative Adaptive Cruise Control

Traffic congestion on road networks is one of the most significant problems that is faced in almost all urban areas. Driving under traffic congestion compels frequent idling, acceleration, and braking, which increase energy consumption and wear and tear on vehicles. By efficiently maneuvering vehicles, traffic flow can be improved. An Adaptive Cruise Control (ACC) system in a car automatically detects its leading vehicle and adjusts the headway by using both the throttle and the brake. Conventional ACC systems are not suitable in congested traffic conditions due to their response delay.  For this purpose, development of smart technologies that contribute to improved traffic flow, throughput and safety is needed. In today’s traffic, to achieve the safe inter-vehicle distance, improve safety, avoid congestion and the limited human perception of traffic conditions and human reaction characteristics constrains should be analyzed. In addition, erroneous human driving conditions may generate shockwaves in addition which causes traffic flow instabilities. In this paper to achieve inter-vehicle distance and improved throughput, we consider Cooperative Adaptive Cruise Control (CACC) system. CACC is then implemented in Smart Driving System. For better Performance, wireless communication is used to exchange Information of individual vehicle. By introducing vehicle to vehicle (V2V) communication and vehicle to roadside infrastructure (V2R) communications, the vehicle gets information not only from its previous and following vehicle but also from the vehicles in front of the previous Vehicle and following vehicle. This enables a vehicle to follow its predecessor at a closer distance under tighter control.

A Selection of Bandung City Travel Route Using The FLOYD-WARSHALL Algorithm

2020 ◽  
Vol 12 (7) ◽  
Author(s):  
Muhammad Ghifari Arfananda ◽  
◽  
Surya Michrandi Nasution ◽  
Casi Setianingsih ◽  
◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Rapid Development ◽  
Route Selection ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
A Value ◽  
Distance Data ◽  
Simple Additive Weighting ◽  
The City ◽  
Selection Of

The rapid development of information and technology, the city of Bandung tourism has also increased. However, tourists who visit the city of Bandung have problems with a limited time when visiting Bandung tourist attractions. Traffic congestion, distance, and the number of tourist destinations are the problems for tourists travel. The optimal route selection is the solution for those problems. Congestion and distance data are processed using the Simple Additive Weighting (SAW) method. Route selection uses the Floyd-Warshall Algorithm. In this study, the selection of the best route gets the smallest weight with a value of 5.127 from the Algorithm process. Based on testing, from two to five tourist attractions get an average calculation time of 3 to 5 seconds. This application is expected to provide optimal solutions for tourists in the selection of tourist travel routes.

scholarly journals A Proposed Framework for Identification of Indicators to Model High-Frequency Cities

2021 ◽  
Vol 10 (5) ◽  
pp. 317
Author(s):  
Ahmad M. Senousi ◽  
Junwei Zhang ◽  
Wenzhong Shi ◽  
Xintao Liu
Keyword(s):  
Urban Studies ◽  
Traffic Congestion ◽  
High Frequency ◽  
Urban Policy ◽  
Low Frequency ◽  
Highway Design ◽  
City Life ◽  
Cultural Affiliation ◽  
Internal Mobility ◽  
The City

A city is a complex system that never sleeps; it constantly changes, and its internal mobility (people, vehicles, goods, information, etc.) continues to accelerate and intensify. These changes and mobility vary in terms of the attributes of the city, such as space, time and cultural affiliation, which characterise to some extent how the city functions. Traditional urban studies have successfully modelled the ‘low-frequency city’ and have provided solutions such as urban planning and highway design for long-term urban development. Nevertheless, the existing urban studies and theories are insufficient to model the dynamics of a city’s intense mobility and rapid changes, so they cannot tackle short-term urban problems such as traffic congestion, real-time transport scheduling and resource management. The advent of information and communication technology and big data presents opportunities to model cities with unprecedented resolution. Since 2018, a paradigm shift from modelling the ‘low-frequency city’ to the so-called ‘high-frequency city’ has been introduced, but hardly any research investigated methods to estimate a city’s frequency. This work aims to propose a framework for the identification and analysis of indicators to model and better understand the concept of a high-frequency city in a systematic manner. The methodology for this work was based on a content analysis-based review, taking into account specific criteria to ensure the selection of indicator sets that are consistent with the concept of the frequency of cities. Twenty-two indicators in five groups were selected as indicators for a high-frequency city, and a framework was proposed to assess frequency at both the intra-city and inter-city levels. This work would serve as a pilot study to further illuminate the ways that urban policy and operations can be adjusted to improve the quality of city life in the context of a smart city.

scholarly journals Detecting Different Road Infrastructural Elements Based on the Stochastic Characterization of Speed Patterns

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Mario Muñoz-Organero ◽  
Ramona Ruiz-Blázquez
Keyword(s):  
Total Variation ◽  
Traffic Congestion ◽  
Automatic Detection ◽  
Mass Function ◽  
Total Variation Distance ◽  
Statistical Moments ◽  
Probability Mass Function ◽  
Traffic Lights ◽  
Traffic Conditions ◽  
Variation Distance

The automatic detection of road related information using data from sensors while driving has many potential applications such as traffic congestion detection or automatic routable map generation. This paper focuses on the automatic detection of road elements based on GPS data from on-vehicle systems. A new algorithm is developed that uses the total variation distance instead of the statistical moments to improve the classification accuracy. The algorithm is validated for detecting traffic lights, roundabouts, and street-crossings in a real scenario and the obtained accuracy (0.75) improves the best results using previous approaches based on statistical moments based features (0.71). Each road element to be detected is characterized as a vector of speeds measured when a driver goes through it. We first eliminate the speed samples in congested traffic conditions which are not comparable with clear traffic conditions and would contaminate the dataset. Then, we calculate the probability mass function for the speed (in 1 m/s intervals) at each point. The total variation distance is then used to find the similarity among different points of interest (which can contain a similar road element or a different one). Finally, a k-NN approach is used for assigning a class to each unlabelled element.

Bike your City: Planning and Designing Cycling Infrastructure in the Urban Environment

2021 ◽  
Author(s):  
◽  
Jack J. Jiang
Keyword(s):  
Urban Environment ◽  
Traffic Congestion ◽  
City Planning ◽  
Environment Design ◽  
Mode Of Transport ◽  
Design Case Study ◽  
Architecture And Design ◽  
Graphical Design ◽  
The City

<p>Cycling is a memory of the past for most of us, the lack of support from the authorities on the cycling infrastructure made it difficult to attract people to cycle in the city. Urban sprawl, traffic congestion, car dependency, environmental pollution and public health concerns have pressured cities around the world to consider reintegrating cycling into the urban environment.  Design as a research method was utilised to investigate the effectiveness of design methodology and workflow for cycling infrastructure from an architecture and design perspective. Using Wellington City as a design case study, this research aimed to improve the legibility, usability and the image of cycling as a mode of transport in the city. To achieve this, a customisable graphical design framework and branding strategies were developed to structure and organise the design components within cycling infrastructure. The findings from the iterative design processes were visualised through the appropriate architectural and presentation conventions.  This research provided an unique architectural perspectives on the issues of cycling infrastructure; the results would support the transportation advisers and urban planners to further the development and integration of cycling, as a viable mode of transport, within the city.</p>

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