Browse Topic: Congestion

Items (38)
With the development of cellular communication technology and for the sake of reducing drag resistance, the multi-lane platoon technology will be more prosperous in the future. In this article, the cooperative vehicle platoon method on the public road is represented. The method’s architecture is mainly composed of the following parts: decision-making, path planning and control command generation. The decision-making uses the finite state machine to make decision and judgment on the cooperative lane change of vehicles, and starts to execute the lane change step when the lane change requirements are met. In terms of path planning, with the goal of ensuring comfort, the continuity of the vehicle state and no collision between vehicles, a fifth-order polynomial is used to fit every vehicle trajectory. In terms of control command generation module, a model predictive control algorithm is used to solve the multi-vehicle centralized optimization control problem. We use the two DOF vehicle model to simulate vehicle dynamics. The front wheel angle and acceleration or braking commands of multiple vehicles are optimized to ensure that the vehicle can well follow the trajectory of the vehicle which is calculated by the control command generation module. At the same time, the energy consumed by performing steering, acceleration and deceleration is also minimized. Finally, in the simulation process, we simulate one direction two lanes scenario. The result shows that the proposed method can effectively handle multi-lane platoon re-configuration scenario.
Chen, GuoshengWu, JianLi, ShuaiZhang, JinghuaDu, ZhiqiangWang, GuojunChen, Zhicheng
Evaluation of Hitachi Electric Vehicle Combined Battery System Lifespan in India2018-01-04474/3/2018
We have developed a drive cycle (DC) to test Hitachi’s combined battery system (CBS) for electric vehicles (EVs) having battery lifespan enhancements. Conventionally EV batteries consist of high energy density cells, and we call them as energy cells (EC). A major issue with the EVs is high operational costs mainly due to short lifespan of the ECs. CBS almost doubles the EC and thus overall battery system lifespan, as per the evaluation over a WLTP based method. We want to test the CBS under Indian conditions which has predominantly hot weather, and traffic jam scenarios. Battery deterioration and thus its lifespan is sensitive to traffic conditions and ambient temperature. Hence, it was needed to evaluate the CBS over an Indian DC and use 40°C as ambient temperature. However, it was difficult to carry out the tests since there is no standard Indian DC for small / light weight four wheelers. Hence, we decided to synthesize a DC and collected over 1.5 million OBD data samples from four cars driven along different routes within Bangalore city. We propose a novel method to synthesize DC. We evaluate our method through statistical and frequency based similarity between the synthesized DC and OBD data. Finally, using the synthesized DC it was recognized that the battery lifespan could be enhanced by a factor of 2 through CBS over EC alone, for Indian conditions also. However, lifespan under the Indian conditions is reduced by a factor of 0.72 of the corresponding WLTP based lifespan estimates.
Chandra, RishiYamauchi, Shin
Impacts of Drive Cycle and Ambient Temperature on Modelled Gasoline Particulate Filter Soot Accumulation and Regeneration2018-01-09494/3/2018
Gasoline particulate filters (GPF) are used as an efficient solution to reduce particulate matter (PM) emissions on gasoline vehicles. GPFs are ceramic wall-flow filters and are normally located downstream of conventional three-way catalysts (TWC) [1]. The study in this paper is intended to evaluate the impact of drive cycle and ambient temperature on modelled GPF soot accumulation and regeneration. The test data were obtained through real road testing in Chinese cities including Nanjing, Hainan and Harbin. Five 2.0 L gasoline turbo direct-injection (GTDI) prototype vehicles from several China Stage 6 applications were employed for the road tests. The results of the testing indicated that a drive cycle with low engine speed and engine load, like a typical city road in rush hour traffic in Nanjing, had a low probability of generating high GPF temperatures (> 600 °C) and sufficient oxygen to regenerate the GPF. However, the soot accumulation model performed as expected [2] and the soot regeneration model demonstrated sufficient opportunity to oxidize soot prior to excessive soot accumulation, even under the limited city drive cycle conditions. Ambient temperatures during cold engine starts played a significant role in the amount of modeled soot being generated during any given drive cycle. Considerably more soot was generated during cold starts at low ambient conditions (< 0 °C) due to the increase in fuel mass and the use and duration of compression injection to aid in catalyst heating.
Yue, HongchaoLehmen, AllenVan Nieuwstadt, MichielMason, GregoryBarwick, MattWarm, DavidPebley, Kirk
The Effect Factors and Location Planning Method Study of a Novel Car-Sharing Network2017-01-02493/28/2017
With the development of the Internet for vehicles, the Car-sharing has been developed rapidly in recent years. This paper focuses on the network programming and distribution for Car-sharing, which helps to clarify the characteristics and basic law of Car-sharing network development, as well as the main approaches to construct it. Firstly, by analyzing the effect factors and expanding ways of Car-sharing network, characteristics of the development of Car-sharing industry and its network, as well as main Car-sharing users and services, the influence factors of Car-sharing demand and the main demand points in a city are summarized. Secondly, in order to better evaluate the network programming and distribution for Car-sharing, this paper proposes an optimization decision method of the car-sharing network planning by evaluating the possible alternatives in a same scale. The assessment index of Car-sharing network planning is constructed. Then the Analytic Hierarchy Process (AHP) and grey correlation analysis system are utilized to select the best scheme. Finally, by using the two-dimensional space analytical method, the paper constructs a Car-sharing network location sitting model which can make a balance between supply and demand. Then, the model is applied in the city of Wuhan and the results show that the model is practicable. So, the theory and method of Car-sharing network and location planning can be applied to any city by using the same ways introduced in this paper, which are useful for the network programming and distribution for Car-sharing.
Mi, JiaJie, HuZhu, HaoLiu, HaoZhang, Yuzhou
Evading traffic congestion by personal flying vehicle is still a far fetched dream. Recent advancements in predicting divergence speeds of slung loads using the Continuous Rotation Method (CRM) of airloads measurement has made is possible to obtain complete aerodynamic load maps of objects. In turn this enables on-the-fly system identification and dynamics predictions to ensure safety and smooth rides with slung loads. A concept is proposed for an air-lift service which can transport people with their personal road vehicles over congested areas. QFD and OEC analyses are used to compare different VTOL options for such a system. A pure conventional helicopter with internal or external carriage, a quadrotor, a lighter-than-air (LTA) platform with a quadrotor, and an LTA with cycloidal rotors are compared. The last two are found to be feasible, with only the LTA-cycloidal meeting all requirements when downwash and noise constraints are imposed. A streamlined carriage concept with aerodynamic control surfaces is suggested. A HUMVEE is used as an example where aerodynamic load mapping has been done, and the data used in predicting dynamics. This shows how to estimate the speed constraints to keep oscillations below specified levels, and verify the safety of the flight envelope.
Shukla, DhwanilHiremath, NandeeshKomerath, Narayanan
Self-Driving Intelligent Vehicle to Increase Road Safety, Lower Congestion Rates and Decrease Emissions2016-01-01614/5/2016
This study presents the design and development of a vehicle platform with intelligent sensors that has the capabilities to drive independently and cooperatively on roads. An integrated active safety system has been designed to optimize the human senses using ultrasonic infrared sensors and transmitter/receiver modules, to increase the human vision, feel and communication for increased road safety, lower congestion rates, and decrease CO2 emissions. Ultrasonic sensors mounted on the platform, emitted longitudinal 40 kHz waves and received echoes of these sound waves when an object was within its direction. The duration was converted to a distance measurement to detect obstacles as well as using distance measurement threshold values to implement adaptive cruise control. Infrared sensors equipped with an IR LED and a bipolar transistor detected a change in light intensity to identify road lanes. The wireless modules were used for vehicle-to-vehicle communication, where vehicles communicate their current speed and acceleration to each other in order to maintain a constant distance and avoid collisions and traffic congestion. The intelligent vehicle is capable of implementing adaptive cruise control, obstacle avoidance, lane keeping/changing, emergency braking, and vehicle-to-vehicle communication. Under development in this research is to add a vision system and image processing techniques to detect road lanes, obstacles, and traffic lights or signs and also a fusion between a GPS module, rotary encoder and inertial sensor able to self-drive and see incoming traffic not in sight yet in a city environment.
Soloiu, ValentinAugusma, ImaniLucien, DeonThomas, MaryAlba-Flores, Roccio
Driver Perceived Threat and Behavior in Rear End Collision Avoidance Situations2015-01-14144/14/2015
The focus of this paper is the threat assessment of perceived threat by drivers in collision avoidance situations. The understanding of the decision making process with regards to the initiation of a driver intervention is a crucial step to gain insight into driver's steering and braking behavior in case of an imminent threat (rear-end collision). Hence a study with various test subjects and a test vehicle has been conducted. The study has helped to understand how drivers behave in potential rear-end collision situations arising from the traffic situation (e.g. start of a traffic jam). This information is of major importance for designing autonomous collision avoidance systems and an important step towards autonomous driving. Autonomous driving in vehicles require system interventions to be initiated as early and safely as possible in order to avoid the collision and to avoid unstable vehicle dynamics situations. In parallel, collision avoidance maneuvers need to be balanced between early intervention by the system and delaying the system intervention long enough in order to ensure that the driver will not or is no longer able to intervene. For this purpose the above mentioned study was designed to determine the braking and steering onsets when the subjects start a collision avoidance maneuver in a rear-end collision scenario either by steering or braking. The results show that the driver intervention onsets are much earlier than the physical limits for both steering as well as braking. It can be assumed that the driver would not consider any system intervention beyond these onsets as an override by the system. Within this paper the results presented include data collected within a study conducted to determine braking and steering onsets applied by drivers in order to avoid rear-end collisions. Based on this information the driver perceived threat in potential rear-end collision scenarios using the in-vehicle steering actuator is assessed. In the end the results will be used as baseline data for the development of an autonomous steering collision avoidance system.
Shah, JitendraBenmimoun, Mohamed
NOx Engine Exhaust Emissions Generated from Diesel (CI) Passenger Cars Registered from 2000 to 20122014-01-16204/1/2014
Real world engine emissions measurements were carried out from the University of Antwerp in Belgium and more than 600 passenger cars were measured when entering and leaving two different University campuses. All measurements were done according to the European Commission Directive 2010/48/EU on roadworthiness tests for motor vehicles and their trailers. A database, including a wide variety of vehicles with completely different engine specifications and technological characteristics (engine size, emissions standards exhaust after-treatment devices etc.) has been created and various parameters influencing emissions will be examined. The influence of various parameters on NOx emissions was considered and discussed in this paper. Important conclusions have been made for diesel vehicles and presented in this work. Cold and hot start engine emissions were taken and analyzed in order to determine the percentage that NOx emission increased over the years. A comparison of different generation of cars is also included in the research. Cars' mileage has been considered and divided into two big categories, those with less than 100000 km and the rest with higher mileage. Finally, a comparison between drivers' habits while driving from home to work and different driving styles has been achieved and included in the paper. Some statistical analysis has been also carried out and useful information for local authorities and policy makers can be found in this work. Drivers' age, sex and travelling habits were put together in order to create a database and evaluate them. At the end of this study several suggestions regarding traffic flow and traffic jams are made and should be taken into account by various traffic authorities.
Savvidis, DimitriosBounos, KonstantinosLoakimidis, Christos
Modeling Weather Impact on Airport Arrival Miles-in-Trail Restrictions2013-01-23019/17/2013
When the demand for either a region of airspace or an airport approaches or exceeds the available capacity, miles-in-trail (MIT) restrictions are the most frequently issued traffic management initiatives (TMIs) that are used to mitigate these imbalances. Miles-in-trail operations require aircraft in a traffic stream to meet a specific inter-aircraft separation in exchange for maintaining a safe and orderly flow within the stream. This stream of aircraft can be departing an airport, over a common fix, through a sector, on a specific route or arriving at an airport. This study begins by providing a high-level overview of the distribution and causes of arrival MIT restrictions for the top ten airports in the United States. This is followed by an in-depth analysis of the frequency, duration and cause of MIT restrictions impacting the Hartsfield-Jackson Atlanta International Airport (ATL) from 2009 through 2011. Then, machine-learning methods for predicting (1) situations in which MIT restrictions for ATL arrivals are implemented under low demand scenarios, and (2) days in which a large number of MIT restrictions are required to properly manage and control ATL arrivals are presented. More specifically, these predictions were accomplished by using an ensemble of decision trees with Bootstrap aggregation (BDT) and supervised machine learning was used to train the BDT binary classification models. The models were subsequently validated using data cross validation methods. When predicting the occurrence of arrival MIT restrictions under low demand situations, the model was able to achieve over all accuracy rates ranging from 84% to 90%, with false alarm ratios ranging from 10% to 15%. In the second set of studies designed to predict days on which a high number of MIT restrictions were required, overall accuracy rates of 80% were achieved with false alarm ratios of 20%. Overall, the predictions proposed by the model give better MIT usage information than what has been currently provided under current day operations. Traffic flow managers can use these predictions to identify potential MIT restrictions to eliminate (e.g., those occurring during low arrival demand periods), and to determine the days in which a significant number of restrictions may be required.
Wang, YaoGrabbe, Shon
Optimization Potential for a State of the Art 8-Speed AT2013-01-12724/8/2013
The legislative and market pressure for CO2 reduction and fuel efficient powertrains lead to a variety of automatic transmission concepts in recent years. The CVT technology, the dual clutch technology (DCT) and optimized architectures of torque converter / planetary gear based automatic transmissions (AT), such as 6, 7, and 8 speed ATs entered the market in the last decade. Also different hybrid technologies have entered the market offering further improvement for fuel consumption especially in city driving. Helpful for OEMs and suppliers to flexibly meet market demands proofed the use of modular hybrid solutions. Clear demand to meet were packages of existing vehicles and powertrains with AT and hybrid transmission (HT), e.g. the modular transmission kit based on the ZF 8 speed AT. Hybrid technology is offering fuel efficiency benefits, but there are also reasons for a slow market penetration. Major obstacles are weight, battery performance, cost, complexity and low benefits for driving conditions outside of urban rush hour traffic, when missing frequent accelerations and slowing down situations for recuperation. Current market expectations foster the necessity, to further develop and optimize the major portion of the market penetration, the conventional powertrain technology. A focused investigation is done for the automatic transmission technology, based on ZF 8-speed family 8HP first generation. To understand the future potentials for a second generation of 8-speed transmissions, a detailed analysis of remaining losses of the current technology for different fuel cycles is provided. Although the results underline the challenge for further improvements on transmission side, a solid engineering base is given to generate and develop innovative ideas for affordable CO2 reductions of a 2nd generation of ZF's 8-speed automatic transmission. Different optimization approaches were investigated in detail and are compared. Furthermore the scope of the 2nd generation 8-speed AT, currently under development and planned for market introduction in the near future, was identified.
Dick, AlbertGreiner, JuergenLocher, AntonJauch, Friedemann
A Personal Plane Air Transportation System - The PPlane Project2011-01-269710/18/2011
The seventh European Framework Program (FP7) “Personal Plane” project (PPlane) aims at developing system ideas to enable personal air transport in the long term (2030 and beyond). Such a system will avoid the ever increasing congestion on European roads and offer an alternative to the current conventional transport system across Europe, in particular in those states that still have poor highway and railway networks. The preliminary assumption made in the PPlane project is that automatisms should be developed to enable a “regular Joe” to use a personal aircraft, in various weather conditions, without any command and control difficulties, using a “push button” navigation interface. An on-board automatic system will take care of the complex issues of integration into the airspace (other sky users, class of airspace, Special Use Airspace…), navigation and emergency management. A systematic and innovative approach has been developed and implemented within the PPlane project in order to understand and analyze customers' needs and to propose novel ideas for a Personal Air Transport System (PATS). This system would satisfy the end users while respecting all environmental and social constraints. Several concepts of operation have been initially designed followed by an optimization model that applies a number of selection criteria to define, analyze and prioritize these concepts. The main issues that have been addressed are divided into 5 domains: security and safety, automation and control, environmental impact, energy constraints, human factors and social acceptance. In each domain, areas such as technologies, regulation and affordability are considered assisting in the design of viable systems ideas. PPlane is a 30-month project that started in October 2009. The PPlane consortium is coordinated by ONERA (France), administratively supported by Intergam Communications (Israel) and includes leading organizations from 11 European countries and associated states from different aviation domains in industry, research and academy.
Le Tallec, ClaudeJoulia, AntoineHarel, Moshe
The i-REAL Personal Mobility Vehicle2011-39-72425/17/2011
The need for small personal mobility vehicles is growing as urbanization, the aging of society, traffic congestion, and parking become major issues, particularly in inner-city areas. The aging of society also means that more short trips within communities will be made. The i-REAL personal mobility vehicle is a next-generation single-passenger electric vehicle that enables the driver to move around town using a smaller amount of energy. This compact EV has three wheels: two front wheels driven by in-wheel motors and one rear wheel. According to the driver's needs, the i-REAL switches driving modes by changing its wheelbase. It can go slowly, allowing the driver to meet the eyes of passers-by when driving in parks, on sidewalks, or inside shopping malls. When on the road, it can lower its height and drive quickly like a bicycle or motorcycle. The body of the i-REAL leans automatically based on the speed and the turn angle to maintain the balance of the vehicle for any driver. For safety, the i-REAL detects obstructions and people ahead by radar and slows down automatically. In addition, areas likely to be impacted in collisions are made of softer materials. The i-REAL also has built-in contact sensors that stop the vehicle automatically if a collision occurs. Demonstration tests have been held at the Chubu International Airport from June 2009 toward practical use of the i-REAL in the future.
Akihiro, YanakaMakoto, MoritaTakeo, Moriai
SIX-WHEEL TRUCK CONSTRUCTION AND OPERATION2500111/1/1925
Benefits gained by distributing truck weights and loads among six wheels rather than four, include less liability to cause road destruction, greater carrying capacity and more economical operation. The author classifies the causes of road destruction under headings of excessive loads on tires, impacts between road and tires, traction effects of wheels, and braking effects and says that the remedy is to reduce load or to correct improper weight-distribution. Impacts probably contribute most destructive effects. He describes in detail what happens when a truck traveling at a given speed strikes a road obstruction and how impact forces are exerted and cites tests by the Bureau of Public Roads to show that when a truck equipped with solid rubber tires and traveling at 16 m.p.h. hits a road obstruction 1 in. high, the impact on the road surface is seven times the load on the tire; that is, for an 8500-lb. load on each rear wheel, the intensity of blow imparted to the road surface is nearly 60,000 lb. Average impact is about four times the static load; with pneumatic tires it is about 25 per cent more than static load. Impact intensity depends primarily upon mass and upon acceleration during upward and downward flight of the wheel and the axle; upward, when the wheel hits an obstruction and flies up; downward, when the wheel comes down after reaching maximum upward travel, acquires velocity under the force of gravity and spring pressure and hits the road surface another blow before coming to rest. Regarding unsprung weight, the author states that the greater the weight of the wheels, axles and tires and the stiffer the springs, the greater the impact. Less unsprung weight and more flexible springs reduce impact. The truth of this is illustrated and explained. Engine propelled tractive effort causes driving wheels to tend to slip. The greater the speed and the smaller the ratio of load on driving wheels, the greater the tendency for wheels to spin and grind away road surface; this tendency is lessened when a truck has four driving wheels or if the load on the driving wheels is relatively large. The first advantage gained by distributing a given load over a greater number of wheels is the reduction of load on each wheel. With the type of six-wheel construction under detailed consideration, the two rear wheels on each side are tied together by a wheel-connector that is swiveled at center where it is attached to the spring above. When one wheel is raised, the tendency is to raise the chassis only one-half the distance that the chassis rises in ordinary four-wheel construction. Hence, when passing over an obstruction that raises one wheel to a certain height, since the center of the connector tying the two axles together is raised only one-half this height, the wheels can go over larger obstructions than is possible with four-wheel construction without raising the chassis to more than one-half the distance, provided both wheels on the same side are not raised at the same time. The springs between the axles and the chassis are flexed only one-half the usual amount, even though the wheel should rise the same distance as for a four-wheel truck; therefore, six-wheel construction lessens impacts between the wheels and the road considerably. Comparing percentages of pay load to dead weight of truck, Mr. Favary quotes for the six-wheel truck a total load of 34,000 lb., a pay load of 20,000 lb., a dead weight of 14,000 lb. and a pay-load to dead-weight ratio of 142 per cent; for a modern 5-ton four-wheel truck with a dump body and a hoist, a dead weight of 11,000 lb. and a pay load of 10,000 lb., or a similar ratio of only 91 per cent. Supposing a demand for the transportation of 1000 tons of merchandise per day over a stated route, the author estimates the needed number of six-wheel trucks weighing 7 tons each and having a pay load of 10 tons each to be 100, or a total dead weight on the road of 700 tons; and the number of four-wheel trucks weighing 5½ tons each and having a pay load of 5 tons each to be about 200, or a total dead weight on the road of 1100 tons. In such case, an extra 400 tons per day must pass over the road with four-wheel units and, even if but 180 of these were needed to equal the performance of the six-wheel units described, it would call for 80 more trucks and 80 more drivers. Impact tests by the Bureau of Public Roads show the impact forces of a six-wheel truck loaded with 6 tons to be lower than those arising from an ordinary 2-ton truck, both being equipped with pneumatic tires. Also, the ordinary 3 to 5-ton solid-tire Army truck exerts a maximum subsoil pressure of 6½ lb. per sq. in.; the 5 to 7½-ton six-wheel truck exerts a subsoil pressure of but 2 lb. per sq. in., each truck with a 10,000-lb. load. After making an illustrated mathematical analysis of impact forces due to four-wheel 5-ton and six-wheel 10-ton trucks, Mr. Favary discusses the steering qualities of six-wheel trucks; some steered by two front wheels, others by four wheels. When the distance between the two rear axles is more than a given amount, steering through four wheels is necessary to avoid a sliding action between the tires and the road surface when turning. When the two rear axles are as close together as 40 in., no sliding action takes place, as is proved by tests; consequently, in the six-wheel truck no steering linkages are required for the middle wheels, driving as well as braking is through the four rear wheels and steering by front wheels only. In conclusion, Mr. Favary compares the capabilities of four-wheel and six-wheel trucks. Among the advantages of the six-wheel truck, he mentions that the reduced load on each wheel results in lessened static and subsoil pressure, reduced impact forces, improved traction, reduced tendency toward wheel spinning and skidding, increased economy in freight transportation, and a smaller number of trucks on the road to carry a given tonnage, and states further that fewer trucks represent an important factor in decreasing road destruction, increase the traffic capacity of existing roads and minimize traffic congestion.
FAVARY, ETHELBERT
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