A Plan For a County Motor Vehicle Transportation System

Shanghai is China's largest city and has a dense concentration of population served by limited transportation infrastructure. Traditionally, bicycles and public transportation have been the dominant modes used by residents, but recent social and economic changes have resulted in a dramatic growth in motor vehicle use and overall traffic volumes. The use of bicycles as a mode of transportation in China and in Shanghai will continue for a long time to come. However, the role of bicycles within Shanghai is changing and will continue to evolve in the future as efforts to enhance basic transportation infrastructure are undertaken and economic and social conditions improve. The complexity of transportation patterns generated by high population densities, coupled with a shortage in basic infrastructure for an urban region of its nature, size, and importance, has created increasingly serious conflicts between motorized and nonmotorized vehicles throughout central Shanghai. These conflicts decrease overall safety and the functional capability of the existing transportation system to meet rapidly increasing travel demands in the municipality. Major improvements are being implemented that will upgrade Shanghai's urban transportation system significantly. They will, however, require a substantial commitment of time and financial resources to complete. In the interim, a comprehensive traffic management effort will be followed that recognizes the importance of bicycles and supports their continued use within the municipality in an appropriate balance with public transportation and other modes consistent with actual conditions and changing demands.

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County Motor Vehicle Transportation System Plan

Transactions of the American Society of Civil Engineers ◽

10.1061/taceat.0008367 ◽

1961 ◽

Vol 126 (4) ◽

pp. 434-457

Author(s):

Victor W. Sauer

Keyword(s):

Motor Vehicle ◽

Transportation System

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Role of the Motor-Vehicle Industry in a Sustainable Transportation System

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1702-03 ◽

2000 ◽

Vol 1702 (1) ◽

pp. 21-27 ◽

Cited By ~ 3

Author(s):

Barbara C. Richardson

Keyword(s):

Fuel Consumption ◽

Public Transportation ◽

Motor Vehicle ◽

Transportation System ◽

Sustainable Transportation ◽

Future Generations ◽

Challenges And Opportunities ◽

Motor Vehicle Industry ◽

Indefinite Future

A sustainable transportation system is one in which fuel consumption, vehicle emissions, safety, congestion, and access to social and economic opportunity are of such levels that they can be sustained into the indefinite future without compromising the ability of future generations to meet their own transportation needs. Each of the stakeholders in the transportation system—local, state, and federal governments; the fuel and motor-vehicle industries; and public-transportation providers, users, and others—will have roles to play in moving toward sustainability. The motor-vehicle industry, as manufacturers of the vehicles that are used for 99 percent of the personal ground veh-km of travel, will need to participate proactively with all of the stakeholders in the transportation system as it addresses the challenges and opportunities in the areas of fuel consumption, emissions, congestion, safety, and access.

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Network Design Algorithm Implementation for Resilient Transportation System under Continuous Risk Perturbation with Big Data Analysis

Mathematical Problems in Engineering ◽

10.1155/2022/6032899 ◽

2022 ◽

Vol 2022 ◽

pp. 1-11

Author(s):

Hongxiao Wang ◽

Qiang Li ◽

Sang-Bing Tsai

Keyword(s):

Traffic Congestion ◽

Road Network ◽

Motor Vehicle ◽

Transportation System ◽

Urban Traffic ◽

Distribution Model ◽

Elastic Demand ◽

Demand Model ◽

Design Algorithm ◽

Traffic Demand

With the rapid economic development and urbanization process accelerating, motor vehicle ownership in large cities is increasing year by year; urban traffic congestion, parking difficulties, and other problems are becoming increasingly serious; in ordinary daily life, continuous risk of disturbance, having a flexible transportation system network is more able to alleviate daily congestion in the city, and the main thing about flexible transportation network is its algorithm. It is worth noting that congestion in many cities is generally reflected in the main roads, while many secondary roads and branch roads are underutilized, and the limited road resources in cities are not fully utilized. As an economic and effective road traffic management measure, one-way traffic can balance the spatial and temporal distribution of traffic pressure within the road network, make full use of the existing urban road network capacity, and solve the traffic congestion problem. Therefore, it is of great theoretical and practical significance to develop a reasonable and scientific one-way traffic scheme according to the characteristics of traffic operation in different regions. Based on the fixed demand model, the influence of traffic demand changes is further considered, the lower-level model is designed as an elastic demand traffic distribution model, the excess demand method is used to transform the elastic demand problem into an equivalent fixed demand problem based on the extended network, and the artificial bee colony algorithm based on risk perturbation is designed to solve the two-level planning model. The case study gives a one-way traffic organization optimization scheme that integrates three factors, namely, the average load degree overload limit of arterial roads, the detour coefficient, and the number of on-street parking spaces on feeder roads, and performs sensitivity analysis on the demand scaling factor.

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Deteksi Objek Nomor Kendaraan Pada Citra Kendaraan Bermotor

JTIM : Jurnal Teknologi Informasi dan Multimedia ◽

10.35746/jtim.v1i4.65 ◽

2020 ◽

Vol 1 (4) ◽

pp. 311-317

Author(s):

Komariyuli Anwariyah

Keyword(s):

Image Processing ◽

Object Recognition ◽

Edge Detection ◽

Motor Vehicle ◽

Transportation System ◽

Morphological Operations ◽

Recognition Model ◽

Smart Transportation ◽

Motorized Vehicles

Motor vehicle police numbers recognation is one of the most important topics in the processof building a smart transportation system. Also this concept and introduction system will bevery useful in various combinations of applications, including in monitoring vehicles when acrime occurs. In this research an object recognition model will be developed by reviewing thesize of the object vertically. Image processing stages starting from the stages of image sizechange, image grayscale, edge detection, morphological operations to the segmentation stage.Based on tests conducted, it was found that the implemented model can be used in the processof recognizing vehicle numbers in the image of motorized vehicles

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UNNES Green Transportation as a Continuous Effort in Building a Conservation University

Journal of Sustainability Perspectives ◽

10.14710/jsp.2021.12012 ◽

2021 ◽

Vol 1 ◽

Author(s):

Fathur Rokhman ◽

Hendi Pratama ◽

Amin Retnoningsih

Keyword(s):

Natural Resources ◽

Motor Vehicle ◽

Environmentally Friendly ◽

Transportation System ◽

Environmental Crisis ◽

Campus Environment ◽

Vehicle Noise ◽

Green Transportation ◽

Reduce Emissions ◽

Motorized Vehicles

Universitas Negeri Semarang (UNNES) declared itself as a conservation university with 3 main pillars, namely: (1) values and character, (2) arts and culture, and (3) natural resources and physical environment. UNNES believes the environmental crisis cannot be overcome only through practical and technical actions but it also attempts to change the way humans view and behave towards the environment. One indicator of natural resources pillars and the environment is green transportation. To implement green transportation, UNNES develops an internal transportation system to guide the use of vehicles, roads and parking areas on the campus. The use of regulated vehicles included motorized and non-motorized vehicles. The target of implementing a green transportation system was to reduce emissions in the campus environment to a minimum level. Motorized vehicles must obey the directional traffic signs applied in the campus environment and be only allowed to park in designated parking areas. Sufficient space for bicycle traffic, environmentally-friendly vehicles, and pedestrians on the sideways were preferred. Motor vehicle noise levels must not exceed 55 dB. Special vehicle traffic, among others, such as garbage transporters, watering plants, fire engines, and special-licensed vehicles were regulated under applicable regulations. Inspection tasks were carried out by security vehicles that can go through all roads in the campus environment in the direction of the designated lane, except in unlikely emergencies. Environmentally-friendly vehicles in the form of electric and non-fossil cars operated on Monday-Friday from 6:00 to 18:00 and were free. Markings with different colors, and bicycle lanes were used to differentiate between motorized vehicles. Campus parking points consisted of a central parking point and several auxiliary parking units. The central parking in the Multi-purpose Building was used for motorized vehicles or bicycles and was guarded 24 hours. Meanwhile, the auxiliary parking units were located in each work unit area which also had a security system. People with disabilities were facilitated through special signposts.

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Calibration of Distributions of Commercial Motor Vehicles in CORSIM

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198105193400126 ◽

2005 ◽

Vol 1934 (1) ◽

pp. 246-255 ◽

Cited By ~ 3

Author(s):

Grant G. Schultz ◽

Laurence R. Rilett

Keyword(s):

Traffic Simulation ◽

Motor Vehicle ◽

Simulation Models ◽

Transportation System ◽

Vehicle Classification ◽

Strong Base ◽

Site Specific ◽

Microscopic Traffic Simulation ◽

Calibration Process ◽

Network Properties

One of the most critical aspects of effective microscopic traffic simulation models is proper calibration for accurate replication of both supply and demand characteristics, as well as their interaction. Recent research has begun automating the calibration process by using intelligent transportation system data. This research, however, has targeted automobile traffic and has not generally included commercial motor vehicle (CMV) impacts. Because CMVs are a significant part of the traffic stream and tend to have a disproportionate effect on the transportation system, it is theorized that these vehicles should be included in the calibration process. The objective of this research, therefore, is ( a) to outline calibration parameters and network properties available (including site-specific vehicle distributions with weigh-in-motion and automatic vehicle classification data) for a freeway simulation of both passenger cars and CMVs and ( b) to apply these parameters and network properties on an urban freeway system in Texas by using the microscopic traffic simulation model CORSIM and an auto-mated genetic algorithm calibration methodology. The results of the analysis indicate that the overall calibration measurably improves the ability of the model to replicate observed conditions. The results for this corridor, however, do not support the need to include maximum nonemergency deceleration rates in the calibration process. The inclusion of site-specific vehicle distributions, however, was observed to provide a more accurate representation of vehicle composition and overall network results. This methodology has not been explored previously and provides a strong base for evaluating the impacts of CMVs on the transportation network by the use of microscopic traffic simulation models.

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Research on the Method of Setting Waiting Area for Non-motor Vehicle at Signal Control Intersection

E3S Web of Conferences ◽

10.1051/e3sconf/20183803021 ◽

2018 ◽

Vol 38 ◽

pp. 03021 ◽

Cited By ~ 1

Author(s):

Yun Xia Wang ◽

Dong Bo Liu

Keyword(s):

Traffic Safety ◽

Theoretical Basis ◽

Motor Vehicle ◽

Transportation System ◽

Signal Control ◽

Traffic Demand ◽

Electric Bicycle ◽

Waiting Area ◽

Traffic Organization ◽

Traffic Rules

Electric bicycle has become an indispensable important component of the transportation system. The fact is that traffic organization and channelizing design of signal control intersection is not intensive, which cannot adapt to the current traffic demand of non-motor vehicle, such as unclear traffic rules and poor visibility, thus the traffic safety of non-motor vehicle is not optimistic. Therefore, it is necessary to study on traffic organization method based on the demand of non-motor vehicle, which can provide certain theoretical basis for traffic administrative department to make policy and traffic design. This article focuses on the method of setting waiting area for non-motor vehicle at signal control intersection, including the advantages, disadvantages and the applicable conditions.

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Case Exercise: Biomechanics in Rearend Motor Vehicle Collisions

Guides Newsletter ◽

10.1001/amaguidesnewsletters.2007.mayjun02 ◽

2007 ◽

Vol 12 (3) ◽

pp. 4-7

Author(s):

Charles N. Brooks ◽

Christopher R. Brigham

Keyword(s):

Motor Vehicle ◽

Body Position ◽

Motor Vehicle Collisions ◽

Time Curve ◽

Vehicle Collisions ◽

Need For Treatment ◽

Multiple Factors ◽

Bodily Injury ◽

Vehicle Collision ◽

Physical Findings

Abstract Multiple factors determine the likelihood, type, and severity of bodily injury following a motor vehicle collision and, in turn, influence the need for treatment, extent of disability, and likelihood of permanent impairment. Among the most important factors is the change in velocity due to an impact (Δv). Other factors include the individual's strength and elasticity, body position at the time of impact, awareness of the impending impact (ie, opportunity to brace, guard, or contract muscles before an impact), and effects of braking. Because Δv is the area under the acceleration vs time curve, it combines force and duration and is a useful way to quantify impact severity. The article includes a table showing the results of a literature review that concluded, “the consensus of human subject research conducted to date is that a single exposure to a rear-end impact with a Δv of 5 mph or less is unlikely to result in injury” in most healthy, restrained occupants. Because velocity incorporates direction as well as speed, a vehicular occupant is less likely to be injured in a rear impact than when struck from the side. Evaluators must consider multiple factors, including the occupant's pre-existing physical and psychosocial status, the mechanism and magnitude of the collision, and a variety of biomechanical variables. Recommendations based solely on patient history and physical findings (and, perhaps, imaging studies) may be ill-informed.

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