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David Torres
David Torres

Bicycle Rider Simulator [BETTER] Free

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Bicycle Rider Simulator Free

Racing your bicycle across the open highway, jumping from ramp to ramp, crashing into the buildings, and smashing into the other vehicles. The more you race the more you win. You must perform amazing bike stunts to survive and become the best bicycle rider in the city.

Be a legendary kids bicycle rider while climbing hill and steep this cycle adventure game during downhill mountain biking avoid falling down and crashDuring climb hill cycling is best for maintaining fitness. So become a crazy freestyle cyclist and ride with full speed by controlling the BMX handlebars with strong wrist grip. Race the 2 wheeler monster bicycle by kicking fast paddle to perform stunts in freestyle jumping.Play free extreme off road bicycle simulator game of 2017 and enjoy the fun of driving experience.

Motorcycle racing simulator are too old to amaze adrenaline junkies. And so, we bring a new addition to bicycle racing games which are always fun for bmx riders giving electric vibe to adventure seekers. Swipe your bike blasting thin through competitors riding cycles in specially designed tracks.

The rising interest in sustainable modes of transportation has increased demand for the design and implementation of bicycle facilities in the United States. However, as compared to the vehicular mode, bicycle facilities have relatively less development, research, and understanding. The availability of a bicycling simulator has the potential to contribute to the understanding of bicycle facility design and bicyclist behavior. The design and construction of a bicycling simulator differs from a driving simulator in many ways. A bicycling simulator requires interfaces for bicycle speed, braking, and steering angle as well as a visual interface. In addition, a representation of a real-world network, including pavement, buildings, the sky and background, and fixed and moving objects, needs to be modeled using a simulator engine. This paper presents the details of the ZouSim bicycling simulator development and the tradeoffs associated with various design decisions, such as the choice of a steering sensor and graphical display. A sample application of a wayfinding and detection markings study illustrates the use of ZouSim. The authors hope that this article will encourage other researchers who conduct research in sustainable cities to explore the use of bicycle simulators for improving bicycle facility design and operations.

Some bicycling simulators were developed for the purpose of improving medical rehabilitation. Jeong et al. [8] designed a bicycling simulator to investigate its use for improving postural balance and equilibrium sense control for patients undergoing rehabilitation. Their simulator was based on a stationary bicycle and used a potentiometer to measure direction (either centered, right, or left) and a cadence sensor to measure cycling speed. They incorporated a spring-based tilt device to allow the rider to pitch and rotate since the bicycle was a stationary bicycle. Kim et al. [9] also used a bicycling simulator based on a stationary exercise bicycle for rehabilitation training of postural balance of elderly patients. In addition to medical uses, some simulators focus on human factors. The bicycle simulator at the University of Iowa has been used to study the ways bicyclists cross two lanes of traffic [10] and the influences of a virtual peer on the crossing behavior of child cyclists [11].

The ZouSim Bicycling Simulator discussed in this paper contributes to the advancement of bicycle research in several ways. First, the paper documents the details of the bicycling simulator development for traffic engineering purposes. Much of the existing literature is focused on precise modeling of bicycle dynamics, including balancing and the inclusion of full six degrees of motion. Thus, the researchers were from the mechanical engineering and computer science departments. Such detailed physical modeling is unnecessary for most traffic engineering studies in civil engineering. For example, many types of traffic control studies can be conducted on level ground where the details of the terrain and the resulting bicycle-terrain interactions do not need to be replicated exactly. Second, this paper focuses on a simulator suitable for studying facility design, including geometrics, signage, markings, and traffic control. Both rider safety and mobility can be investigated using this type of simulator. Such studies would differ from other applications such as medical rehabilitation or training. Third, existing literature is overwhelming from outside the United States. This is unsurprising since other countries use and rely upon bicycling much more than the U.S. Since the U.S. differs from other countries in terms of standards, regulations, and practice for bicycling, a simulator must be suitable for U.S. conditions. This paper documents the development process and discusses design tradeoffs so as to assist others who seek to use this valuable tool to help improve bicycle facilities.

Several options were explored for measuring the speed or the longitudinal movement rate, including bicycle computers/speedometers and custom hardware. A bicycle computer uses sensors and/or global positioning system (GPS) to inform a bicycle rider of useful information such as speed, cadence, and distance traveled. Such a computer can have the wireless communication capabilities to interact with smart phones or other Bluetooth-enabled devices. The GPS-based computers are not suitable for use in ZouSim because the bicycle is stationary.

The most challenging aspect of ZouSim hardware design is the measurement of bicycle steering angles. With a driving simulator steering wheel, the wheel is rotated about the center, and the motion is only in the horizontal plane of the wheel. In contrast, the bicycle handlebars through the stem move mainly in the horizontal plane of the handlebars, but also slightly in the vertical plane as the handlebar is rotated. If a line is drawn from the stem down through the fork, as shown as a blue line in Figure 1, then this line would contact the floor at a different location from where the front wheel contacts the floor. This means that the steering angle or yaw cannot be measured along the aforementioned linear axis; thus, no yaw sensor can be attached on the bike itself. To overcome this challenge, the front wheel was attached to a rotation base. This base consists of two circular plates connected via wheel bearings. This rotation base was mounted on the simulator wooden base and cannot be moved vertically. Thus, the steering becomes fixed to the single degree of freedom of yaw. Figure 1 shows the yaw sensor, encased by a blue housing, attached to the rotation base and not the bicycle. The inclusion of the rotation base had the added advantage of allowing smoother turning of the front wheel leading to a greater stability of the overall bicycle rig.

The orientation of the bicycle is derived from the optically tracked steering angle as follows. The laser outputs a steering angle reflecting the deviation from the center, or zero degrees. This steering angle is limited to a maximum of 45, although this value can be changed. The reason there is a limit is because this simulator cannot simulate the leaning of the bicycle during turns, which allows sharper turning. The virtual bicycle is then oriented to this new angle subject to the maximum.

For projects where situational awareness is needed for side or even rear directions, multiple screens or a virtual reality headset can be used. If the minimum horizontal field-of-view for driving is used for bicycling, then 120 is required [26]. In spanning multiple monitors/screens, there are issues associated with where and how each monitor is placed with respect to the participant. One rule of thumb for the monitor distance is to maximize visual fidelity, that is,, maintain a realistic visual representation of objects such as size and appearance. Sometimes the midperipheral field-of-view is required which leads to the use of a triple monitor configuration covering 135 with each monitor covering 45 (e.g., [27]). Using multiple monitors also requires for objects to transition smoothly from monitor to monitor. For example, when a rider nears an intersection, the crossing traffic has to appear consistent through multiple monitors for the rider to react properly. Monitor bezels can be accounted via graphics card settings or via simulator software. The VR headset has the ability of covering 360 degrees of horizontal vision, but one of its greatest drawbacks so far is the prevalence of simulator sickness. A lesser issue with VR is the inability for the rider to see the real world such as seeing the handlebar, brakes levers, and pedals.

A scene is a bicycle experiment designed in a simulator. For example, in a bicycle marking study, the scene was a network of streets, intersection, and trails based on Columbia, Missouri. A scene is composed of the background, surfaces, and various static and moving objects. Figure 3 shows an example of the scene development for the Columbia network. The left side shows the graphical elements, while the right side shows the inspector of object properties and the hierarchies of objects and components, such as scripts and audio resource. The sky box is the sky along with other background in a scene and is made up of images that seamlessly connect at the edges. For example, a sky box can be composed of a blue sky along with a scattering of clouds. 041b061a72


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