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Research of two-factor optimization model of a multi-lane freeway traffic rules

机译：多车道高速公路交通规则的两因素优化模型研究

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Under circumstances of left-driving rule, from both internal and external causes, to consider the difference of driving on the left or right, and we found that the person of driving at left side is slower by 0.5s than that of the right side, and therefore affect the safe distance between vehicles thus further affecting the safety factor and traffic flow. Then in combination with the two-factor optimizationmodel based on performance problems of a multi-lane freeway traffic rules to calculate the optimal solution when driving at left side, that is an average speed of vehicles in the second lane should be maintained as v ???? 80km/h , the second lane speed limit is 85 km/h, theminimumspeed limit is 75 km/h, themaximumspeed limit for the first lane is 95 km/h, theminimumspeed limit is 85 km/h, and we use actual data to verify the conclusion. Intelligent systemresponse time is negligible, we obtained that the response time can be reduced therefore to shorten safe distance between vehicles. Then according to two-factor optimization model based on performance problems of amulti-lane freeway traffic rules, and the optimal speed for the second lane should be 94km/h, and the second laneminimumspeed limit is 84 km/h; highest speed limit of first lane is 104km/h, the lowest speed limit of first lane is 94 km/h. Finally, the traffic properties under this case are analyzed; we found the impact on traffic performance from intelligent system can be improved by 11%.
机译：在左驾规则的情况下，从内部和外部两个方面考虑左驾或右驾的差异，我们发现左侧驾车的人比右侧驾车的人慢0.5s，因此会影响车辆之间的安全距离，从而进一步影响安全系数和交通流量。然后结合基于多车道高速公路交通规则性能问题的两因素优化模型，计算左侧行驶时的最优解，即第二车道的平均车速应保持为v ??。 ?? 80km / h，第二车道速度限制为85 km / h，最小车速限制为75 km / h，第一车道最大速度限制为95 km / h，最小车速限制为85 km / h，我们使用实际数据进行验证结论。智能系统的响应时间可以忽略不计，因此我们可以缩短响应时间，从而缩短车辆之间的安全距离。然后根据针对多车道高速公路交通规则性能问题的两因素优化模型，第二车道的最佳速度应为94km / h，第二车道的最低限速为84km / h。第一车道的最高速度限制为104 km / h，第一车道的最低速度限制为94 km / h。最后，分析了这种情况下的交通属性。我们发现智能系统对流量性能的影响可以提高11％。

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