Research on the Calculation Method of Terminal Curbside Length

Measuring the Length of a Two-Lane Curbside Based on Traffic Features

“…For example, 45 berths (i.e., a 376 m long curbside) are required when parking demand is 1,000 pcph, while 60 berths (i.e., a 502 m long curbside) are necessary when parking demand is 1,500 pcph. Meanwhile, by comparing this with the models of Yang (9) and Liu et al (28), we find that Yang's (9) result is far less than those of the RCPM and Liu et al (28). Furthermore, as expected in Figure 4 in Section 3, the lengths given by the RCPM are shorter than those of Liu et al (28), and the variation, which may be caused by car-following behaviors, is significant in large parking demands.…”

“…Meanwhile, by comparing this with the models of Yang (9) and Liu et al (28), we find that Yang's (9) result is far less than those of the RCPM and Liu et al (28). Furthermore, as expected in Figure 4 in Section 3, the lengths given by the RCPM are shorter than those of Liu et al (28), and the variation, which may be caused by car-following behaviors, is significant in large parking demands.…”

“…Leigh Fisher Associates (LFA) developed the Leigh Fisher Associates' Curbside Traffic Simulation (LFACTS) model to specifically address the traffic operations at airport curbsides by assuming vehicle arrivals and dwell times and considering that destinations along the curbside are timedependent (27). Similarly, Liu et al proposed a simulation model to calculate the length of curbside by setting uniformly distributed arriving times and dwell times (28). Furthermore, Mandle, Whitlock, and LaMagna (29) and Brown (8) established curbside requirement formulas to count curbside length with a given level of service (LOS).…”

“…In Figure 3, leading car 1 parks at p k on the inner lane, and car in overtakes it in the outside lane, as the red dashed line shows. Liu et al (28) proposed such a model to estimate maximum numbers of curbside parking spaces needed with the investigated parking demand in peak hours. However, when traffic volume maintains a high level, his model may be invalid because the distance between two vehicles is too close to realistically occur.…”

“…Also, as mentioned in Section 2, the average speed and dwell time cannot reflect traffic characteristics at micro level as it is fixed for all individual values, omitting any individual's effect. Referring to the survey of Liu et al (28), 96% of curbside traffic volume consists of cars, while 2% is mid-bus and 2% is bus. Therefore, according to Table 1, we assume the speed v (average speed is 3.5 m/s 2 ), dwell time T (average dwell time is 105 s), as well as arriving time ts are uniformly distributed and set the vehicle parking space size as 8.36 m. The simulation principle is to first determine vehicle status and acceleration for each vehicle at a given time t, by identifying the leading car, and ascertain the acceleration according to the interrelations between adjacent cars, calculating the present speed and position.…”