recovery time and the independent variables of traffic intensity, incident duration and lane blockage.;In addition, the results from simulation estimate a longer recovery time on all scenarios for traffic to attain pre-incident travel conditions using the simulation method than the shockwave theory. Co...
Approximate formulae for the extended mean exist but are accurate only near saturation. The paper derives novel approximations for the equilibrium mean and also variance and utilisation, using functions linking traffic intensity with green period capacity. With three moments, equilibrium probability ...
Regression results indicate that traffic recovery time can be reasonably represented as a nonlinear function of incident time and traffic intensity. Full traffic recovery time can be determined after an incident occurs on a freeway when the nonlinear regression form...
To this end, we employ a “sheared” delay function, which extends the well-known Webster formula [39] to cover flow-to-capacity ratios greater than unity, thus accounting for the effect of temporary oversaturation on overall vehicular delay. Among the several functions of this type documented ...
Based on the delay formula [17], the capacity of vehicles leaving the parking lot to drive into the first lane is corrected. Finally, the average delay of vehicles leaving the parking lot and driving into the first lane of the road is obtained, as shown in Equation (5). 𝑑𝑙𝑐=...
where 𝜌ρ is the traffic intensity whose expression is 𝑆𝑡 /𝐴𝑡 St¯/At¯. 𝑐𝐴cA and 𝑐𝑆cS are, respectively, the covariance between the arrival time interval and service time interval whose expressions are 𝑐𝐴=𝜎𝐴𝐴𝑡 cA=σAAt¯ and 𝑐𝑆=𝜎𝑆...
This finding shows that the stability of traffic flow is enhanced by the introduction of the response intensity of the acceleration of the preceding vehicle. In Figure 1b,c, the unstable regions gradually decrease as p or m increase, implying that when drivers pay more attention to the traffic...
The second type is a two-state Markov chain which in the state s 1 (On period) generates a Bernoulli process with intensity p. We will refer to this process as MMBP (Markov-modulated Bernoulli process). During our study, we performed an analysis of the probabilistic characteristics of ...
The second type is a two-state Markov chain which in the state s 1 (On period) generates a Bernoulli process with intensity p. We will refer to this process as MMBP (Markov-modulated Bernoulli process). During our study, we performed an analysis of the probabilistic characteristics of ...